---
_id: '12349'
abstract:
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  text: Statistics of natural scenes are not uniform - their structure varies dramatically
    from ground to sky. It remains unknown whether these non-uniformities are reflected
    in the large-scale organization of the early visual system and what benefits such
    adaptations would confer. Here, by relying on the efficient coding hypothesis,
    we predict that changes in the structure of receptive fields across visual space
    increase the efficiency of sensory coding. We show experimentally that, in agreement
    with our predictions, receptive fields of retinal ganglion cells change their
    shape along the dorsoventral retinal axis, with a marked surround asymmetry at
    the visual horizon. Our work demonstrates that, according to principles of efficient
    coding, the panoramic structure of natural scenes is exploited by the retina across
    space and cell-types.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Hiroki Asari for sharing the dataset of naturalistic images,
  Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative
  work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings.
  We also thank Gasper Tkacik and members of the Neuroethology group for their comments
  on the manuscript. This research was supported by the Scientific Service Units of
  IST Austria through resources provided by Scientific Computing, the Preclinical
  Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work
  was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385
  (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers
  Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European
  Research Council Starting Grant 756502 (MJ).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Divyansh
  full_name: Gupta, Divyansh
  id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
  last_name: Gupta
  orcid: 0000-0001-7400-6665
- first_name: Wiktor F
  full_name: Mlynarski, Wiktor F
  id: 358A453A-F248-11E8-B48F-1D18A9856A87
  last_name: Mlynarski
- first_name: Anton L
  full_name: Sumser, Anton L
  id: 3320A096-F248-11E8-B48F-1D18A9856A87
  last_name: Sumser
  orcid: 0000-0002-4792-1881
- first_name: Olga
  full_name: Symonova, Olga
  id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
  last_name: Symonova
  orcid: 0000-0003-2012-9947
- first_name: Jan
  full_name: Svaton, Jan
  id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
  last_name: Svaton
  orcid: 0000-0002-6198-2939
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
citation:
  ama: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic
    visual statistics shape retina-wide organization of receptive fields. <i>Nature
    Neuroscience</i>. 2023;26:606-614. doi:<a href="https://doi.org/10.1038/s41593-023-01280-0">10.1038/s41593-023-01280-0</a>
  apa: Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38;
    Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization
    of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-023-01280-0">https://doi.org/10.1038/s41593-023-01280-0</a>
  chicago: Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan
    Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide
    Organization of Receptive Fields.” <i>Nature Neuroscience</i>. Springer Nature,
    2023. <a href="https://doi.org/10.1038/s41593-023-01280-0">https://doi.org/10.1038/s41593-023-01280-0</a>.
  ieee: D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A.
    Jösch, “Panoramic visual statistics shape retina-wide organization of receptive
    fields,” <i>Nature Neuroscience</i>, vol. 26. Springer Nature, pp. 606–614, 2023.
  ista: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic
    visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience.
    26, 606–614.
  mla: Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization
    of Receptive Fields.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023,
    pp. 606–14, doi:<a href="https://doi.org/10.1038/s41593-023-01280-0">10.1038/s41593-023-01280-0</a>.
  short: D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch,
    Nature Neuroscience 26 (2023) 606–614.
date_created: 2023-01-23T14:14:19Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-10-04T11:41:05Z
day: '01'
ddc:
- '570'
department:
- _id: GradSch
- _id: MaJö
doi: 10.1038/s41593-023-01280-0
ec_funded: 1
external_id:
  isi:
  - '000955258300002'
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  - '36959418'
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  grant_number: '665385'
  name: International IST Doctoral Program
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  grant_number: P34015
  name: Efficient coding with biophysical realism
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  call_identifier: H2020
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  name: Circuits of Visual Attention
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  name: Neuronal networks of salience and spatial detection in the murine superior
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  grant_number: ALTF 1098-2017
  name: Connecting sensory with motor processing in the superior colliculus
publication: Nature Neuroscience
publication_identifier:
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  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
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title: Panoramic visual statistics shape retina-wide organization of receptive fields
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
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type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2023'
...
---
_id: '12370'
abstract:
- lang: eng
  text: 'Statistics of natural scenes are not uniform - their structure varies dramatically
    from ground to sky. It remains unknown whether these non-uniformities are reflected
    in the large-scale organization of the early visual system and what benefits such
    adaptations would confer. Here, by relying on the efficient coding hypothesis,
    we predict that changes in the structure of receptive fields across visual space
    increase the efficiency of sensory coding. We show experimentally that, in agreement
    with our predictions, receptive fields of retinal ganglion cells change their
    shape along the dorsoventral retinal axis, with a marked surround asymmetry at
    the visual horizon. Our work demonstrates that, according to principles of efficient
    coding, the panoramic structure of natural scenes is exploited by the retina across
    space and cell-types. '
acknowledged_ssus:
- _id: ScienComp
- _id: M-Shop
- _id: Bio
- _id: PreCl
- _id: LifeSc
article_processing_charge: No
author:
- first_name: Divyansh
  full_name: Gupta, Divyansh
  id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
  last_name: Gupta
  orcid: 0000-0001-7400-6665
- first_name: Anton L
  full_name: Sumser, Anton L
  id: 3320A096-F248-11E8-B48F-1D18A9856A87
  last_name: Sumser
  orcid: 0000-0002-4792-1881
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
citation:
  ama: 'Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics
    shape retina-wide organization of receptive fields. 2023. doi:<a href="https://doi.org/10.15479/AT:ISTA:12370">10.15479/AT:ISTA:12370</a>'
  apa: 'Gupta, D., Sumser, A. L., &#38; Jösch, M. A. (2023). Research Data for: Panoramic
    visual statistics shape retina-wide organization of receptive fields. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:12370">https://doi.org/10.15479/AT:ISTA:12370</a>'
  chicago: 'Gupta, Divyansh, Anton L Sumser, and Maximilian A Jösch. “Research Data
    for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.”
    Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/AT:ISTA:12370">https://doi.org/10.15479/AT:ISTA:12370</a>.'
  ieee: 'D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual
    statistics shape retina-wide organization of receptive fields.” Institute of Science
    and Technology Austria, 2023.'
  ista: 'Gupta D, Sumser AL, Jösch MA. 2023. Research Data for: Panoramic visual statistics
    shape retina-wide organization of receptive fields, Institute of Science and Technology
    Austria, <a href="https://doi.org/10.15479/AT:ISTA:12370">10.15479/AT:ISTA:12370</a>.'
  mla: 'Gupta, Divyansh, et al. <i>Research Data for: Panoramic Visual Statistics
    Shape Retina-Wide Organization of Receptive Fields</i>. Institute of Science and
    Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/AT:ISTA:12370">10.15479/AT:ISTA:12370</a>.'
  short: D. Gupta, A.L. Sumser, M.A. Jösch, (2023).
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  first_name: Olga
  id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
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  id: 358A453A-F248-11E8-B48F-1D18A9856A87
  last_name: Mlynarski
- contributor_type: researcher
  first_name: Jan
  id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
  last_name: Svaton
date_created: 2023-01-25T12:45:18Z
date_published: 2023-01-26T00:00:00Z
date_updated: 2023-10-04T11:41:04Z
day: '26'
ddc:
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department:
- _id: GradSch
- _id: MaJö
doi: 10.15479/AT:ISTA:12370
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  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
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  grant_number: P34015
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title: 'Research Data for: Panoramic visual statistics shape retina-wide organization
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tmp:
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  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
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  short: CC BY-NC-SA (4.0)
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...
---
_id: '12288'
abstract:
- lang: eng
  text: To understand the function of neuronal circuits, it is crucial to disentangle
    the connectivity patterns within the network. However, most tools currently used
    to explore connectivity have low throughput, low selectivity, or limited accessibility.
    Here, we report the development of an improved packaging system for the production
    of the highly neurotropic RVdGenvA-CVS-N2c rabies viral vectors, yielding titers
    orders of magnitude higher with no background contamination, at a fraction of
    the production time, while preserving the efficiency of transsynaptic labeling.
    Along with the production pipeline, we developed suites of ‘starter’ AAV and bicistronic
    RVdG-CVS-N2c vectors, enabling retrograde labeling from a wide range of neuronal
    populations, tailored for diverse experimental requirements. We demonstrate the
    power and flexibility of the new system by uncovering hidden local and distal
    inhibitory connections in the mouse hippocampal formation and by imaging the functional
    properties of a cortical microcircuit across weeks. Our novel production pipeline
    provides a convenient approach to generate new rabies vectors, while our toolkit
    flexibly and efficiently expands the current capacity to label, manipulate and
    image the neuronal activity of interconnected neuronal circuits in vitro and in
    vivo.
acknowledged_ssus:
- _id: Bio
- _id: PreCl
acknowledgement: We thank F Marr for technical assistance, A Murray for RVdG-CVS-N2c
  viruses and Neuro2A packaging cell-lines and J Watson for reading the manuscript.
  This research was supported by the Scientific Service Units (SSU) of IST-Austria
  through resources provided by the Imaging and Optics Facility (IOF) and the Preclinical
  Facility (PCF). This project was funded by the European Research Council (ERC) under
  the European Union’s Horizon 2020 research and innovation programme (ERC advanced
  grant No 692692, PJ, ERC starting grant No 756502, MJ), the Fond zur Förderung der
  Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award, PJ), the Human Frontier
  Science Program (LT000256/2018-L, AS) and EMBO (ALTF 1098-2017, AS).
article_number: '79848'
article_processing_charge: No
article_type: original
author:
- first_name: Anton L
  full_name: Sumser, Anton L
  id: 3320A096-F248-11E8-B48F-1D18A9856A87
  last_name: Sumser
  orcid: 0000-0002-4792-1881
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
- first_name: Yoav
  full_name: Ben Simon, Yoav
  id: 43DF3136-F248-11E8-B48F-1D18A9856A87
  last_name: Ben Simon
citation:
  ama: Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. Fast, high-throughput production
    of improved rabies viral vectors for specific, efficient and versatile transsynaptic
    retrograde labeling. <i>eLife</i>. 2022;11. doi:<a href="https://doi.org/10.7554/elife.79848">10.7554/elife.79848</a>
  apa: Sumser, A. L., Jösch, M. A., Jonas, P. M., &#38; Ben Simon, Y. (2022). Fast,
    high-throughput production of improved rabies viral vectors for specific, efficient
    and versatile transsynaptic retrograde labeling. <i>ELife</i>. eLife Sciences
    Publications. <a href="https://doi.org/10.7554/elife.79848">https://doi.org/10.7554/elife.79848</a>
  chicago: Sumser, Anton L, Maximilian A Jösch, Peter M Jonas, and Yoav Ben Simon.
    “Fast, High-Throughput Production of Improved Rabies Viral Vectors for Specific,
    Efficient and Versatile Transsynaptic Retrograde Labeling.” <i>ELife</i>. eLife
    Sciences Publications, 2022. <a href="https://doi.org/10.7554/elife.79848">https://doi.org/10.7554/elife.79848</a>.
  ieee: A. L. Sumser, M. A. Jösch, P. M. Jonas, and Y. Ben Simon, “Fast, high-throughput
    production of improved rabies viral vectors for specific, efficient and versatile
    transsynaptic retrograde labeling,” <i>eLife</i>, vol. 11. eLife Sciences Publications,
    2022.
  ista: Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. 2022. Fast, high-throughput production
    of improved rabies viral vectors for specific, efficient and versatile transsynaptic
    retrograde labeling. eLife. 11, 79848.
  mla: Sumser, Anton L., et al. “Fast, High-Throughput Production of Improved Rabies
    Viral Vectors for Specific, Efficient and Versatile Transsynaptic Retrograde Labeling.”
    <i>ELife</i>, vol. 11, 79848, eLife Sciences Publications, 2022, doi:<a href="https://doi.org/10.7554/elife.79848">10.7554/elife.79848</a>.
  short: A.L. Sumser, M.A. Jösch, P.M. Jonas, Y. Ben Simon, ELife 11 (2022).
date_created: 2023-01-16T10:04:15Z
date_published: 2022-09-15T00:00:00Z
date_updated: 2023-08-04T10:29:48Z
day: '15'
ddc:
- '570'
department:
- _id: MaJö
- _id: PeJo
doi: 10.7554/elife.79848
ec_funded: 1
external_id:
  isi:
  - '000892204300001'
  pmid:
  - '36040301'
file:
- access_level: open_access
  checksum: 5a2a65e3e7225090c3d8199f3bbd7b7b
  content_type: application/pdf
  creator: dernst
  date_created: 2023-01-30T11:50:53Z
  date_updated: 2023-01-30T11:50:53Z
  file_id: '12463'
  file_name: 2022_eLife_Sumser.pdf
  file_size: 8506811
  relation: main_file
  success: 1
file_date_updated: 2023-01-30T11:50:53Z
has_accepted_license: '1'
intvolume: '        11'
isi: 1
keyword:
- General Immunology and Microbiology
- General Biochemistry
- Genetics and Molecular Biology
- General Medicine
- General Neuroscience
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '692692'
  name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '756502'
  name: Circuits of Visual Attention
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z00312
  name: The Wittgenstein Prize
- _id: 266D407A-B435-11E9-9278-68D0E5697425
  grant_number: LT000256
  name: Neuronal networks of salience and spatial detection in the murine superior
    colliculus
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
  grant_number: ALTF 1098-2017
  name: Connecting sensory with motor processing in the superior colliculus
publication: eLife
publication_identifier:
  eissn:
  - 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fast, high-throughput production of improved rabies viral vectors for specific,
  efficient and versatile transsynaptic retrograde labeling
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2022'
...
---
_id: '7551'
abstract:
- lang: eng
  text: Novelty facilitates formation of memories. The detection of novelty and storage
    of contextual memories are both mediated by the hippocampus, yet the mechanisms
    that link these two functions remain to be defined. Dentate granule cells (GCs)
    of the dorsal hippocampus fire upon novelty exposure forming engrams of contextual
    memory. However, their key excitatory inputs from the entorhinal cortex are not
    responsive to novelty and are insufficient to make dorsal GCs fire reliably. Here
    we uncover a powerful glutamatergic pathway to dorsal GCs from ventral hippocampal
    mossy cells (MCs) that relays novelty, and is necessary and sufficient for driving
    dorsal GCs activation. Furthermore, manipulation of ventral MCs activity bidirectionally
    regulates novelty-induced contextual memory acquisition. Our results show that
    ventral MCs activity controls memory formation through an intra-hippocampal interaction
    mechanism gated by novelty.
acknowledgement: We thank Peter Jonas and Peter Somogyi for critically reading the
  manuscript, Satoshi Kida for helpful discussion, Taijia Makinen for providing the
  Prox1-creERT2 mouse line, and Hiromu Yawo for the VAMP2-Venus construct. We also
  thank Vivek Jayaraman, Ph.D.; Rex A. Kerr, Ph.D.; Douglas S. Kim, Ph.D.; Loren L.
  Looger, Ph.D.; and Karel Svoboda, Ph.D. from the GENIE Project, Janelia Farm Research
  Campus, Howard Hughes Medical Institute for the viral constructs used for GCaMP6s
  expression. We also thank Jacqueline Montanaro, Vanessa Zheden, David Kleindienst,
  and Laura Burnett for technical assistance, as well as Robert Beattie for imaging
  assistance. This work was supported by a European Research Council Advanced Grant
  694539 to R.S.
article_processing_charge: No
article_type: original
author:
- first_name: Felipe A
  full_name: Fredes Tolorza, Felipe A
  id: 384825DA-F248-11E8-B48F-1D18A9856A87
  last_name: Fredes Tolorza
- first_name: Maria A
  full_name: Silva Sifuentes, Maria A
  id: 371B3D6E-F248-11E8-B48F-1D18A9856A87
  last_name: Silva Sifuentes
- first_name: Peter
  full_name: Koppensteiner, Peter
  id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
  last_name: Koppensteiner
- first_name: Kenta
  full_name: Kobayashi, Kenta
  last_name: Kobayashi
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
citation:
  ama: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
    MA, Shigemoto R. Ventro-dorsal hippocampal pathway gates novelty-induced contextual
    memory formation. <i>Current Biology</i>. 2021;31(1):P25-38.E5. doi:<a href="https://doi.org/10.1016/j.cub.2020.09.074">10.1016/j.cub.2020.09.074</a>
  apa: Fredes Tolorza, F. A., Silva Sifuentes, M. A., Koppensteiner, P., Kobayashi,
    K., Jösch, M. A., &#38; Shigemoto, R. (2021). Ventro-dorsal hippocampal pathway
    gates novelty-induced contextual memory formation. <i>Current Biology</i>. Elsevier.
    <a href="https://doi.org/10.1016/j.cub.2020.09.074">https://doi.org/10.1016/j.cub.2020.09.074</a>
  chicago: Fredes Tolorza, Felipe A, Maria A Silva Sifuentes, Peter Koppensteiner,
    Kenta Kobayashi, Maximilian A Jösch, and Ryuichi Shigemoto. “Ventro-Dorsal Hippocampal
    Pathway Gates Novelty-Induced Contextual Memory Formation.” <i>Current Biology</i>.
    Elsevier, 2021. <a href="https://doi.org/10.1016/j.cub.2020.09.074">https://doi.org/10.1016/j.cub.2020.09.074</a>.
  ieee: F. A. Fredes Tolorza, M. A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
    M. A. Jösch, and R. Shigemoto, “Ventro-dorsal hippocampal pathway gates novelty-induced
    contextual memory formation,” <i>Current Biology</i>, vol. 31, no. 1. Elsevier,
    p. P25–38.E5, 2021.
  ista: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
    MA, Shigemoto R. 2021. Ventro-dorsal hippocampal pathway gates novelty-induced
    contextual memory formation. Current Biology. 31(1), P25–38.E5.
  mla: Fredes Tolorza, Felipe A., et al. “Ventro-Dorsal Hippocampal Pathway Gates
    Novelty-Induced Contextual Memory Formation.” <i>Current Biology</i>, vol. 31,
    no. 1, Elsevier, 2021, p. P25–38.E5, doi:<a href="https://doi.org/10.1016/j.cub.2020.09.074">10.1016/j.cub.2020.09.074</a>.
  short: F.A. Fredes Tolorza, M.A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
    M.A. Jösch, R. Shigemoto, Current Biology 31 (2021) P25–38.E5.
date_created: 2020-02-28T10:56:18Z
date_published: 2021-01-11T00:00:00Z
date_updated: 2023-08-04T10:47:11Z
day: '11'
ddc:
- '570'
department:
- _id: MaJö
- _id: RySh
doi: 10.1016/j.cub.2020.09.074
ec_funded: 1
external_id:
  isi:
  - '000614361000020'
file:
- access_level: open_access
  checksum: b7b9c8bc84a08befce365c675229a7d1
  content_type: application/pdf
  creator: dernst
  date_created: 2020-10-19T13:31:28Z
  date_updated: 2020-10-19T13:31:28Z
  file_id: '8678'
  file_name: 2021_CurrentBiology_Fredes.pdf
  file_size: 4915964
  relation: main_file
  success: 1
file_date_updated: 2020-10-19T13:31:28Z
has_accepted_license: '1'
intvolume: '        31'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: P25-38.E5
project:
- _id: 25CA28EA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '694539'
  name: 'In situ analysis of single channel subunit composition in neurons: physiological
    implication in synaptic plasticity and behaviour'
publication: Current Biology
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
  link:
  - description: News on IST Homepage
    relation: press_release
    url: https://ist.ac.at/en/news/remembering-novelty/
status: public
title: Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 31
year: '2021'
...
---
_id: '6'
abstract:
- lang: eng
  text: Lesion and electrode location verification are traditionally done via histological
    examination of stained brain slices, a time-consuming procedure that requires
    manual estimation. Here, we describe a simple, straightforward method for quantifying
    lesions and locating electrodes in the brain that is less laborious and yields
    more detailed results. Whole brains are stained with osmium tetroxide, embedded
    in resin, and imaged with a micro-CT scanner. The scans result in 3D digital volumes
    of the brains with resolutions and virtual section thicknesses dependent on the
    sample size (12-15 and 5-6 µm per voxel for rat and zebra finch brains, respectively).
    Surface and deep lesions can be characterized, and single tetrodes, tetrode arrays,
    electrolytic lesions, and silicon probes can also be localized. Free and proprietary
    software allows experimenters to examine the sample volume from any plane and
    segment the volume manually or automatically. Because this method generates whole
    brain volume, lesions and electrodes can be quantified to a much higher degree
    than in current methods, which will help standardize comparisons within and across
    studies.
article_processing_charge: No
author:
- first_name: Javier
  full_name: Masís, Javier
  last_name: Masís
- first_name: David
  full_name: Mankus, David
  last_name: Mankus
- first_name: Steffen
  full_name: Wolff, Steffen
  last_name: Wolff
- first_name: Grigori
  full_name: Guitchounts, Grigori
  last_name: Guitchounts
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: David
  full_name: Cox, David
  last_name: Cox
citation:
  ama: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based
    method for characterising lesions and locating electrodes in small animal brains.
    <i>Journal of visualized experiments</i>. 2018;141. doi:<a href="https://doi.org/10.3791/58585">10.3791/58585</a>
  apa: Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &#38; Cox,
    D. (2018). A micro-CT-based method for characterising lesions and locating electrodes
    in small animal brains. <i>Journal of Visualized Experiments</i>. MyJove Corporation.
    <a href="https://doi.org/10.3791/58585">https://doi.org/10.3791/58585</a>
  chicago: Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian
    A Jösch, and David Cox. “A Micro-CT-Based Method for Characterising Lesions and
    Locating Electrodes in Small Animal Brains.” <i>Journal of Visualized Experiments</i>.
    MyJove Corporation, 2018. <a href="https://doi.org/10.3791/58585">https://doi.org/10.3791/58585</a>.
  ieee: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A
    micro-CT-based method for characterising lesions and locating electrodes in small
    animal brains,” <i>Journal of visualized experiments</i>, vol. 141. MyJove Corporation,
    2018.
  ista: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based
    method for characterising lesions and locating electrodes in small animal brains.
    Journal of visualized experiments. 141.
  mla: Masís, Javier, et al. “A Micro-CT-Based Method for Characterising Lesions and
    Locating Electrodes in Small Animal Brains.” <i>Journal of Visualized Experiments</i>,
    vol. 141, MyJove Corporation, 2018, doi:<a href="https://doi.org/10.3791/58585">10.3791/58585</a>.
  short: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Journal
    of Visualized Experiments 141 (2018).
date_created: 2018-12-11T11:44:07Z
date_published: 2018-11-08T00:00:00Z
date_updated: 2023-10-17T11:49:25Z
day: '08'
department:
- _id: MaJö
doi: 10.3791/58585
external_id:
  isi:
  - '000456469400103'
intvolume: '       141'
isi: 1
language:
- iso: eng
month: '11'
oa_version: None
publication: Journal of visualized experiments
publication_status: published
publisher: MyJove Corporation
publist_id: '8050'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A micro-CT-based method for characterising lesions and locating electrodes
  in small animal brains
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 141
year: '2018'
...
---
_id: '62'
abstract:
- lang: eng
  text: Imaging is a dominant strategy for data collection in neuroscience, yielding
    stacks of images that often scale to gigabytes of data for a single experiment.
    Machine learning algorithms from computer vision can serve as a pair of virtual
    eyes that tirelessly processes these images, automatically detecting and identifying
    microstructures. Unlike learning methods, our Flexible Learning-free Reconstruction
    of Imaged Neural volumes (FLoRIN) pipeline exploits structure-specific contextual
    clues and requires no training. This approach generalizes across different modalities,
    including serially-sectioned scanning electron microscopy (sSEM) of genetically
    labeled and contrast enhanced processes, spectral confocal reflectance (SCoRe)
    microscopy, and high-energy synchrotron X-ray microtomography (μCT) of large tissue
    volumes. We deploy the FLoRIN pipeline on newly published and novel mouse datasets,
    demonstrating the high biological fidelity of the pipeline’s reconstructions.
    FLoRIN reconstructions are of sufficient quality for preliminary biological study,
    for example examining the distribution and morphology of cells or extracting single
    axons from functional data. Compared to existing supervised learning methods,
    FLoRIN is one to two orders of magnitude faster and produces high-quality reconstructions
    that are tolerant to noise and artifacts, as is shown qualitatively and quantitatively.
acknowledgement: 'Equipment was generously donated by the NVIDIA Corporation, and
  made available by the National Science Foundation (NSF) through grant #CNS-1629914.
  This research used resources of the Argonne Leadership Computing Facility, which
  is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.'
article_number: '14247'
article_processing_charge: No
article_type: original
author:
- first_name: Ali
  full_name: Shabazi, Ali
  last_name: Shabazi
- first_name: Jeffery
  full_name: Kinnison, Jeffery
  last_name: Kinnison
- first_name: Rafael
  full_name: Vescovi, Rafael
  last_name: Vescovi
- first_name: Ming
  full_name: Du, Ming
  last_name: Du
- first_name: Robert
  full_name: Hill, Robert
  last_name: Hill
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Marc
  full_name: Takeno, Marc
  last_name: Takeno
- first_name: Hongkui
  full_name: Zeng, Hongkui
  last_name: Zeng
- first_name: Nuno
  full_name: Da Costa, Nuno
  last_name: Da Costa
- first_name: Jaime
  full_name: Grutzendler, Jaime
  last_name: Grutzendler
- first_name: Narayanan
  full_name: Kasthuri, Narayanan
  last_name: Kasthuri
- first_name: Walter
  full_name: Scheirer, Walter
  last_name: Scheirer
citation:
  ama: Shabazi A, Kinnison J, Vescovi R, et al. Flexible learning-free segmentation
    and reconstruction of neural volumes. <i>Scientific Reports</i>. 2018;8(1). doi:<a
    href="https://doi.org/10.1038/s41598-018-32628-3">10.1038/s41598-018-32628-3</a>
  apa: Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A., … Scheirer,
    W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes.
    <i>Scientific Reports</i>. Nature Publishing Group. <a href="https://doi.org/10.1038/s41598-018-32628-3">https://doi.org/10.1038/s41598-018-32628-3</a>
  chicago: Shabazi, Ali, Jeffery Kinnison, Rafael Vescovi, Ming Du, Robert Hill, Maximilian
    A Jösch, Marc Takeno, et al. “Flexible Learning-Free Segmentation and Reconstruction
    of Neural Volumes.” <i>Scientific Reports</i>. Nature Publishing Group, 2018.
    <a href="https://doi.org/10.1038/s41598-018-32628-3">https://doi.org/10.1038/s41598-018-32628-3</a>.
  ieee: A. Shabazi <i>et al.</i>, “Flexible learning-free segmentation and reconstruction
    of neural volumes,” <i>Scientific Reports</i>, vol. 8, no. 1. Nature Publishing
    Group, 2018.
  ista: Shabazi A, Kinnison J, Vescovi R, Du M, Hill R, Jösch MA, Takeno M, Zeng H,
    Da Costa N, Grutzendler J, Kasthuri N, Scheirer W. 2018. Flexible learning-free
    segmentation and reconstruction of neural volumes. Scientific Reports. 8(1), 14247.
  mla: Shabazi, Ali, et al. “Flexible Learning-Free Segmentation and Reconstruction
    of Neural Volumes.” <i>Scientific Reports</i>, vol. 8, no. 1, 14247, Nature Publishing
    Group, 2018, doi:<a href="https://doi.org/10.1038/s41598-018-32628-3">10.1038/s41598-018-32628-3</a>.
  short: A. Shabazi, J. Kinnison, R. Vescovi, M. Du, R. Hill, M.A. Jösch, M. Takeno,
    H. Zeng, N. Da Costa, J. Grutzendler, N. Kasthuri, W. Scheirer, Scientific Reports
    8 (2018).
date_created: 2018-12-11T11:44:25Z
date_published: 2018-09-24T00:00:00Z
date_updated: 2023-09-11T14:02:55Z
day: '24'
ddc:
- '570'
department:
- _id: MaJö
doi: 10.1038/s41598-018-32628-3
external_id:
  isi:
  - '000445336600015'
file:
- access_level: open_access
  checksum: 1a14ae0666b82fbaa04bef110e3f6bf2
  content_type: application/pdf
  creator: dernst
  date_created: 2018-12-17T12:22:24Z
  date_updated: 2020-07-14T12:47:24Z
  file_id: '5699'
  file_name: 2018_ScientificReports_Shahbazi.pdf
  file_size: 4141645
  relation: main_file
file_date_updated: 2020-07-14T12:47:24Z
has_accepted_license: '1'
intvolume: '         8'
isi: 1
issue: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '7992'
quality_controlled: '1'
related_material:
  link:
  - relation: erratum
    url: http://doi.org/10.1038/s41598-018-36220-7
scopus_import: '1'
status: public
title: Flexible learning-free segmentation and reconstruction of neural volumes
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2018'
...
---
_id: '410'
abstract:
- lang: eng
  text: Lesion verification and quantification is traditionally done via histological
    examination of sectioned brains, a time-consuming process that relies heavily
    on manual estimation. Such methods are particularly problematic in posterior cortical
    regions (e.g. visual cortex), where sectioning leads to significant damage and
    distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes,
    which relies on the same techniques, suffers from similar drawbacks and requires
    even higher precision. Here, we propose a new, simple method for quantitative
    lesion characterization and electrode localization that is less labor-intensive
    and yields more detailed results than conventional methods. We leverage staining
    techniques standard in electron microscopy with the use of commodity micro-CT
    imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed
    these in resin and scan entire brains in a micro-CT machine. The scans result
    in 3D reconstructions of the brains with section thickness dependent on sample
    size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be
    segmented manually or automatically. Because the method captures the entire intact
    brain volume, comparisons within and across studies are more tractable, and the
    extent of lesions and electrodes may be studied with higher accuracy than with
    current methods.
article_number: '5184'
article_processing_charge: No
author:
- first_name: Javier
  full_name: Masís, Javier
  last_name: Masís
- first_name: David
  full_name: Mankus, David
  last_name: Mankus
- first_name: Steffen
  full_name: Wolff, Steffen
  last_name: Wolff
- first_name: Grigori
  full_name: Guitchounts, Grigori
  last_name: Guitchounts
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: David
  full_name: Cox, David
  last_name: Cox
citation:
  ama: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based
    method for quantitative brain lesion characterization and electrode localization.
    <i>Scientific Reports</i>. 2018;8(1). doi:<a href="https://doi.org/10.1038/s41598-018-23247-z">10.1038/s41598-018-23247-z</a>
  apa: Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &#38; Cox,
    D. (2018). A micro-CT-based method for quantitative brain lesion characterization
    and electrode localization. <i>Scientific Reports</i>. Nature Publishing Group.
    <a href="https://doi.org/10.1038/s41598-018-23247-z">https://doi.org/10.1038/s41598-018-23247-z</a>
  chicago: Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian
    A Jösch, and David Cox. “A Micro-CT-Based Method for Quantitative Brain Lesion
    Characterization and Electrode Localization.” <i>Scientific Reports</i>. Nature
    Publishing Group, 2018. <a href="https://doi.org/10.1038/s41598-018-23247-z">https://doi.org/10.1038/s41598-018-23247-z</a>.
  ieee: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A
    micro-CT-based method for quantitative brain lesion characterization and electrode
    localization,” <i>Scientific Reports</i>, vol. 8, no. 1. Nature Publishing Group,
    2018.
  ista: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based
    method for quantitative brain lesion characterization and electrode localization.
    Scientific Reports. 8(1), 5184.
  mla: Masís, Javier, et al. “A Micro-CT-Based Method for Quantitative Brain Lesion
    Characterization and Electrode Localization.” <i>Scientific Reports</i>, vol.
    8, no. 1, 5184, Nature Publishing Group, 2018, doi:<a href="https://doi.org/10.1038/s41598-018-23247-z">10.1038/s41598-018-23247-z</a>.
  short: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Scientific
    Reports 8 (2018).
date_created: 2018-12-11T11:46:19Z
date_published: 2018-03-26T00:00:00Z
date_updated: 2023-09-08T11:48:39Z
day: '26'
ddc:
- '571'
- '572'
department:
- _id: MaJö
doi: 10.1038/s41598-018-23247-z
external_id:
  isi:
  - '000428234100005'
file:
- access_level: open_access
  checksum: 653fcb852f899c75b00ceee2a670d738
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:10:42Z
  date_updated: 2020-07-14T12:46:23Z
  file_id: '4831'
  file_name: IST-2018-994-v1+1_2018_Joesch_A-micro-CT-based.pdf
  file_size: 2359430
  relation: main_file
file_date_updated: 2020-07-14T12:46:23Z
has_accepted_license: '1'
intvolume: '         8'
isi: 1
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '7419'
pubrep_id: '994'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A micro-CT-based method for quantitative brain lesion characterization and
  electrode localization
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2018'
...
---
_id: '740'
abstract:
- lang: eng
  text: 'Developments in bioengineering and molecular biology have introduced a palette
    of genetically encoded probes for identification of specific cell populations
    in electron microscopy. These probes can be targeted to distinct cellular compartments,
    rendering them electron dense through a subsequent chemical reaction. These electron
    densities strongly increase the local contrast in samples prepared for electron
    microscopy, allowing three major advances in ultrastructural mapping of circuits:
    genetic identification of circuit components, targeted imaging of regions of interest
    and automated analysis of the tagged circuits. Together, the gains from these
    advances can decrease the time required for the analysis of targeted circuit motifs
    by over two orders of magnitude. These genetic encoded tags for electron microscopy
    promise to simplify the analysis of circuit motifs and become a central tool for
    structure‐function studies of synaptic connections in the brain. We review the
    current state‐of‐the‐art with an emphasis on connectomics, the quantitative analysis
    of neuronal structures and motifs.'
article_number: e288
article_processing_charge: No
article_type: original
author:
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
citation:
  ama: Shigemoto R, Jösch MA. The genetic encoded toolbox for electron microscopy
    and connectomics. <i>WIREs Developmental Biology</i>. 2017;6(6). doi:<a href="https://doi.org/10.1002/wdev.288">10.1002/wdev.288</a>
  apa: Shigemoto, R., &#38; Jösch, M. A. (2017). The genetic encoded toolbox for electron
    microscopy and connectomics. <i>WIREs Developmental Biology</i>. Wiley-Blackwell.
    <a href="https://doi.org/10.1002/wdev.288">https://doi.org/10.1002/wdev.288</a>
  chicago: Shigemoto, Ryuichi, and Maximilian A Jösch. “The Genetic Encoded Toolbox
    for Electron Microscopy and Connectomics.” <i>WIREs Developmental Biology</i>.
    Wiley-Blackwell, 2017. <a href="https://doi.org/10.1002/wdev.288">https://doi.org/10.1002/wdev.288</a>.
  ieee: R. Shigemoto and M. A. Jösch, “The genetic encoded toolbox for electron microscopy
    and connectomics,” <i>WIREs Developmental Biology</i>, vol. 6, no. 6. Wiley-Blackwell,
    2017.
  ista: Shigemoto R, Jösch MA. 2017. The genetic encoded toolbox for electron microscopy
    and connectomics. WIREs Developmental Biology. 6(6), e288.
  mla: Shigemoto, Ryuichi, and Maximilian A. Jösch. “The Genetic Encoded Toolbox for
    Electron Microscopy and Connectomics.” <i>WIREs Developmental Biology</i>, vol.
    6, no. 6, e288, Wiley-Blackwell, 2017, doi:<a href="https://doi.org/10.1002/wdev.288">10.1002/wdev.288</a>.
  short: R. Shigemoto, M.A. Jösch, WIREs Developmental Biology 6 (2017).
date_created: 2018-12-11T11:48:15Z
date_published: 2017-08-11T00:00:00Z
date_updated: 2023-09-27T12:51:41Z
day: '11'
ddc:
- '570'
department:
- _id: RySh
- _id: MaJö
doi: 10.1002/wdev.288
external_id:
  isi:
  - '000412827400005'
  pmid:
  - '28800674'
file:
- access_level: open_access
  checksum: a9370f27b1591773b7a0de299bc81c8c
  content_type: application/pdf
  creator: dernst
  date_created: 2019-11-19T07:36:18Z
  date_updated: 2020-07-14T12:47:57Z
  file_id: '7045'
  file_name: 2017_WIREs_Shigemoto.pdf
  file_size: 1647787
  relation: main_file
file_date_updated: 2020-07-14T12:47:57Z
has_accepted_license: '1'
intvolume: '         6'
isi: 1
issue: '6'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Submitted Version
pmid: 1
publication: WIREs Developmental Biology
publication_identifier:
  issn:
  - '17597684'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6927'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The genetic encoded toolbox for electron microscopy and connectomics
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 6
year: '2017'
...
---
_id: '1306'
abstract:
- lang: eng
  text: 'Resolving patterns of synaptic connectivity in neural circuits currently
    requires serial section electron microscopy. However, complete circuit reconstruction
    is prohibitively slow and may not be necessary for many purposes such as comparing
    neuronal structure and connectivity among multiple animals. Here, we present an
    alternative strategy, targeted reconstruction of specific neuronal types. We used
    viral vectors to deliver peroxidase derivatives, which catalyze production of
    an electron-dense tracer, to genetically identify neurons, and developed a protocol
    that enhances the electron-density of the labeled cells while retaining the quality
    of the ultrastructure. The high contrast of the marked neurons enabled two innovations
    that speed data acquisition: targeted high-resolution reimaging of regions selected
    from rapidly-acquired lower resolution reconstruction, and an unsupervised segmentation
    algorithm. This pipeline reduces imaging and reconstruction times by two orders
    of magnitude, facilitating directed inquiry of circuit motifs.'
acknowledgement: 'This work was supported by NIH grant NS76467 to MM, JL and JRS,
  an HHMI Collaborative Innovation Award to JRS, an IARPA contract #D16PC00002 to
  WJS and by The International Human Frontier Science Program Organization fellowship
  to MJ.'
author:
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: David
  full_name: Mankus, David
  last_name: Mankus
- first_name: Masahito
  full_name: Yamagata, Masahito
  last_name: Yamagata
- first_name: Ali
  full_name: Shahbazi, Ali
  last_name: Shahbazi
- first_name: Richard
  full_name: Schalek, Richard L
  last_name: Schalek
- first_name: Adi
  full_name: Suissa-Peleg, Adi
  last_name: Suissa Peleg
- first_name: Markus
  full_name: Meister, Markus
  last_name: Meister
- first_name: Jeff
  full_name: Lichtman, Jeff W
  last_name: Lichtman
- first_name: Walter
  full_name: Scheirer, Walter J
  last_name: Scheirer
- first_name: Joshua
  full_name: Sanes, Joshua R
  last_name: Sanes
citation:
  ama: Jösch MA, Mankus D, Yamagata M, et al. Reconstruction of genetically identified
    neurons imaged by serial-section electron microscopy. <i>eLife</i>. 2016;5(2016JULY).
    doi:<a href="https://doi.org/10.7554/eLife.15015">10.7554/eLife.15015</a>
  apa: Jösch, M. A., Mankus, D., Yamagata, M., Shahbazi, A., Schalek, R., Suissa Peleg,
    A., … Sanes, J. (2016). Reconstruction of genetically identified neurons imaged
    by serial-section electron microscopy. <i>ELife</i>. eLife Sciences Publications.
    <a href="https://doi.org/10.7554/eLife.15015">https://doi.org/10.7554/eLife.15015</a>
  chicago: Jösch, Maximilian A, David Mankus, Masahito Yamagata, Ali Shahbazi, Richard
    Schalek, Adi Suissa Peleg, Markus Meister, Jeff Lichtman, Walter Scheirer, and
    Joshua Sanes. “Reconstruction of Genetically Identified Neurons Imaged by Serial-Section
    Electron Microscopy.” <i>ELife</i>. eLife Sciences Publications, 2016. <a href="https://doi.org/10.7554/eLife.15015">https://doi.org/10.7554/eLife.15015</a>.
  ieee: M. A. Jösch <i>et al.</i>, “Reconstruction of genetically identified neurons
    imaged by serial-section electron microscopy,” <i>eLife</i>, vol. 5, no. 2016JULY.
    eLife Sciences Publications, 2016.
  ista: Jösch MA, Mankus D, Yamagata M, Shahbazi A, Schalek R, Suissa Peleg A, Meister
    M, Lichtman J, Scheirer W, Sanes J. 2016. Reconstruction of genetically identified
    neurons imaged by serial-section electron microscopy. eLife. 5(2016JULY).
  mla: Jösch, Maximilian A., et al. “Reconstruction of Genetically Identified Neurons
    Imaged by Serial-Section Electron Microscopy.” <i>ELife</i>, vol. 5, no. 2016JULY,
    eLife Sciences Publications, 2016, doi:<a href="https://doi.org/10.7554/eLife.15015">10.7554/eLife.15015</a>.
  short: M.A. Jösch, D. Mankus, M. Yamagata, A. Shahbazi, R. Schalek, A. Suissa Peleg,
    M. Meister, J. Lichtman, W. Scheirer, J. Sanes, ELife 5 (2016).
date_created: 2018-12-11T11:51:16Z
date_published: 2016-07-07T00:00:00Z
date_updated: 2021-01-12T06:49:46Z
day: '07'
doi: 10.7554/eLife.15015
extern: 1
intvolume: '         5'
issue: 2016JULY
month: '07'
publication: eLife
publication_status: published
publisher: eLife Sciences Publications
publist_id: '5965'
quality_controlled: 0
status: public
title: Reconstruction of genetically identified neurons imaged by serial-section electron
  microscopy
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
volume: 5
year: '2016'
...
---
_id: '1303'
abstract:
- lang: eng
  text: In bright light, cone-photoreceptors are active and colour vision derives
    from a comparison of signals in cones with different visual pigments. This comparison
    begins in the retina, where certain retinal ganglion cells have 'colour-opponent'
    visual responses-excited by light of one colour and suppressed by another colour.
    In dim light, rod-photoreceptors are active, but colour vision is impossible because
    they all use the same visual pigment. Instead, the rod signals are thought to
    splice into retinal circuits at various points, in synergy with the cone signals.
    Here we report a new circuit for colour vision that challenges these expectations.
    A genetically identified type of mouse retinal ganglion cell called JAMB (J-RGC),
    was found to have colour-opponent responses, OFF to ultraviolet (UV) light and
    ON to green light. Although the mouse retina contains a green-sensitive cone,
    the ON response instead originates in rods. Rods and cones both contribute to
    the response over several decades of light intensity. Remarkably, the rod signal
    in this circuit is antagonistic to that from cones. For rodents, this UV-green
    channel may play a role in social communication, as suggested by spectral measurements
    from the environment. In the human retina, all of the components for this circuit
    exist as well, and its function can explain certain experiences of colour in dim
    lights, such as a 'blue shift' in twilight. The discovery of this genetically
    defined pathway will enable new targeted studies of colour processing in the brain.
acknowledgement: This work was supported by grants to M.M. from the NIH and to M.J.
  from The International Human Frontier Science Program Organization.
author:
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Markus
  full_name: Meister, Markus
  last_name: Meister
citation:
  ama: Jösch MA, Meister M. A neuronal circuit for colour vision based on rod-cone
    opponency. <i>Nature</i>. 2016;532(7598):236-239. doi:<a href="https://doi.org/10.1038/nature17158">10.1038/nature17158</a>
  apa: Jösch, M. A., &#38; Meister, M. (2016). A neuronal circuit for colour vision
    based on rod-cone opponency. <i>Nature</i>. Nature Publishing Group. <a href="https://doi.org/10.1038/nature17158">https://doi.org/10.1038/nature17158</a>
  chicago: Jösch, Maximilian A, and Markus Meister. “A Neuronal Circuit for Colour
    Vision Based on Rod-Cone Opponency.” <i>Nature</i>. Nature Publishing Group, 2016.
    <a href="https://doi.org/10.1038/nature17158">https://doi.org/10.1038/nature17158</a>.
  ieee: M. A. Jösch and M. Meister, “A neuronal circuit for colour vision based on
    rod-cone opponency,” <i>Nature</i>, vol. 532, no. 7598. Nature Publishing Group,
    pp. 236–239, 2016.
  ista: Jösch MA, Meister M. 2016. A neuronal circuit for colour vision based on rod-cone
    opponency. Nature. 532(7598), 236–239.
  mla: Jösch, Maximilian A., and Markus Meister. “A Neuronal Circuit for Colour Vision
    Based on Rod-Cone Opponency.” <i>Nature</i>, vol. 532, no. 7598, Nature Publishing
    Group, 2016, pp. 236–39, doi:<a href="https://doi.org/10.1038/nature17158">10.1038/nature17158</a>.
  short: M.A. Jösch, M. Meister, Nature 532 (2016) 236–239.
date_created: 2018-12-11T11:51:15Z
date_published: 2016-04-14T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '14'
doi: 10.1038/nature17158
extern: 1
intvolume: '       532'
issue: '7598'
month: '04'
page: 236 - 239
publication: Nature
publication_status: published
publisher: Nature Publishing Group
publist_id: '5966'
quality_controlled: 0
status: public
title: A neuronal circuit for colour vision based on rod-cone opponency
type: journal_article
volume: 532
year: '2016'
...
---
_id: '1304'
abstract:
- lang: eng
  text: When confronted with a large-field stimulus rotating around the vertical body
    axis, flies display a following behavior called &quot;optomotor response.&quot;
    As neural control elements, the large tangential horizontal system (HS) cells
    of the lobula plate have been prime candidates for long. Here, we applied optogenetic
    stimulation of HS cells to evaluate their behavioral role in Drosophila. To minimize
    interference of the optical activation of channelrhodopsin-2 with the visual perception
    of the flies, we used a bistable variant called ChR2-C128S. By applying pulses
    of blue and yellow light, we first demonstrate electrophysiologically that lobula
    plate tangential cells can be activated and deactivated repeatedly with no evident
    change in depolarization strength over trials. We next show that selective optogenetic
    activation of HS cells elicits robust yaw head movements and yaw turning responses
    in fixed and tethered flying flies, respectively.
acknowledgement: 'This work was supported by the Max Planck Society. '
author:
- first_name: Väinö
  full_name: Haikala, Väinö
  last_name: Haikala
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
- first_name: Alex
  full_name: Mauss, Alex S
  last_name: Mauss
citation:
  ama: Haikala V, Jösch MA, Borst A, Mauss A. Optogenetic control of fly optomotor
    responses. <i>Journal of Neuroscience</i>. 2013;33(34):13927-13934. doi:<a href="https://doi.org/10.1523/JNEUROSCI.0340-13.2013">10.1523/JNEUROSCI.0340-13.2013</a>
  apa: Haikala, V., Jösch, M. A., Borst, A., &#38; Mauss, A. (2013). Optogenetic control
    of fly optomotor responses. <i>Journal of Neuroscience</i>. Society for Neuroscience.
    <a href="https://doi.org/10.1523/JNEUROSCI.0340-13.2013">https://doi.org/10.1523/JNEUROSCI.0340-13.2013</a>
  chicago: Haikala, Väinö, Maximilian A Jösch, Alexander Borst, and Alex Mauss. “Optogenetic
    Control of Fly Optomotor Responses.” <i>Journal of Neuroscience</i>. Society for
    Neuroscience, 2013. <a href="https://doi.org/10.1523/JNEUROSCI.0340-13.2013">https://doi.org/10.1523/JNEUROSCI.0340-13.2013</a>.
  ieee: V. Haikala, M. A. Jösch, A. Borst, and A. Mauss, “Optogenetic control of fly
    optomotor responses,” <i>Journal of Neuroscience</i>, vol. 33, no. 34. Society
    for Neuroscience, pp. 13927–13934, 2013.
  ista: Haikala V, Jösch MA, Borst A, Mauss A. 2013. Optogenetic control of fly optomotor
    responses. Journal of Neuroscience. 33(34), 13927–13934.
  mla: Haikala, Väinö, et al. “Optogenetic Control of Fly Optomotor Responses.” <i>Journal
    of Neuroscience</i>, vol. 33, no. 34, Society for Neuroscience, 2013, pp. 13927–34,
    doi:<a href="https://doi.org/10.1523/JNEUROSCI.0340-13.2013">10.1523/JNEUROSCI.0340-13.2013</a>.
  short: V. Haikala, M.A. Jösch, A. Borst, A. Mauss, Journal of Neuroscience 33 (2013)
    13927–13934.
date_created: 2018-12-11T11:51:16Z
date_published: 2013-01-01T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '01'
doi: 10.1523/JNEUROSCI.0340-13.2013
extern: 1
intvolume: '        33'
issue: '34'
month: '01'
page: 13927 - 13934
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5967'
quality_controlled: 0
status: public
title: Optogenetic control of fly optomotor responses
type: journal_article
volume: 33
year: '2013'
...
---
_id: '1305'
abstract:
- lang: eng
  text: In the fly Drosophila melanogaster, photoreceptor input to motion vision is
    split into two parallel pathways as represented by first-order interneurons L1
    and L2 (Rister et al., 2007; Joesch et al., 2010). However, how these pathways
    are functionally specialized remains controversial. One study (Eichner et al.,
    2011) proposed that the L1-pathway evaluates only sequences of brightness increments
    (ON-ON), while the L2-pathway processes exclusively brightness decrements (OFF-OFF).
    Another study (Clark et al., 2011) proposed that each of the two pathways evaluates
    both ON-ON and OFF-OFF sequences. To decide between these alternatives, we recorded
    from motionsensitive neurons in flies in which the output from either L1 or L2
    was genetically blocked. We found that blocking L1 abolishes ON-ON responses but
    leaves OFF-OFF responses intact. The opposite was true, when the output from L2
    was blocked. We conclude that the L1 and L2 pathways are functionally specialized
    to detect ON-ON and OFF-OFF sequences, respectively.
acknowledgement: This work was supported by the Max-Planck-Society and the SFB 870
  of the Deutsche Forschungsgemeinschaft.
author:
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Franz
  full_name: Weber, Franz
  last_name: Weber
- first_name: Hubert
  full_name: Eichner, Hubert
  last_name: Eichner
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
citation:
  ama: Jösch MA, Weber F, Eichner H, Borst A. Functional specialization of parallel
    motion detection circuits in the fly. <i>Journal of Neuroscience</i>. 2013;33(3):902-905.
    doi:<a href="https://doi.org/10.1523/JNEUROSCI.3374-12.2013">10.1523/JNEUROSCI.3374-12.2013</a>
  apa: Jösch, M. A., Weber, F., Eichner, H., &#38; Borst, A. (2013). Functional specialization
    of parallel motion detection circuits in the fly. <i>Journal of Neuroscience</i>.
    Society for Neuroscience. <a href="https://doi.org/10.1523/JNEUROSCI.3374-12.2013">https://doi.org/10.1523/JNEUROSCI.3374-12.2013</a>
  chicago: Jösch, Maximilian A, Franz Weber, Hubert Eichner, and Alexander Borst.
    “Functional Specialization of Parallel Motion Detection Circuits in the Fly.”
    <i>Journal of Neuroscience</i>. Society for Neuroscience, 2013. <a href="https://doi.org/10.1523/JNEUROSCI.3374-12.2013">https://doi.org/10.1523/JNEUROSCI.3374-12.2013</a>.
  ieee: M. A. Jösch, F. Weber, H. Eichner, and A. Borst, “Functional specialization
    of parallel motion detection circuits in the fly,” <i>Journal of Neuroscience</i>,
    vol. 33, no. 3. Society for Neuroscience, pp. 902–905, 2013.
  ista: Jösch MA, Weber F, Eichner H, Borst A. 2013. Functional specialization of
    parallel motion detection circuits in the fly. Journal of Neuroscience. 33(3),
    902–905.
  mla: Jösch, Maximilian A., et al. “Functional Specialization of Parallel Motion
    Detection Circuits in the Fly.” <i>Journal of Neuroscience</i>, vol. 33, no. 3,
    Society for Neuroscience, 2013, pp. 902–05, doi:<a href="https://doi.org/10.1523/JNEUROSCI.3374-12.2013">10.1523/JNEUROSCI.3374-12.2013</a>.
  short: M.A. Jösch, F. Weber, H. Eichner, A. Borst, Journal of Neuroscience 33 (2013)
    902–905.
date_created: 2018-12-11T11:51:16Z
date_published: 2013-01-16T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '16'
doi: 10.1523/JNEUROSCI.3374-12.2013
extern: 1
intvolume: '        33'
issue: '3'
month: '01'
page: 902 - 905
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5968'
quality_controlled: 0
status: public
title: Functional specialization of parallel motion detection circuits in the fly
type: journal_article
volume: 33
year: '2013'
...
---
_id: '1299'
abstract:
- lang: eng
  text: Recent experiments have shown that motion detection in Drosophila starts with
    splitting the visual input into two parallel channels encoding brightness increments
    (ON) or decrements (OFF). This suggests the existence of either two (ON-ON, OFF-OFF)
    or four (for all pairwise interactions) separate motion detectors. To decide between
    these possibilities, we stimulated flies using sequences of ON and OFF brightness
    pulses while recording from motion-sensitive tangential cells. We found direction-selective
    responses to sequences of same sign (ON-ON, OFF-OFF), but not of opposite sign
    (ON-OFF, OFF-ON), refuting the existence of four separate detectors. Based on
    further measurements, we propose a model that reproduces a variety of additional
    experimental data sets, including ones that were previously interpreted as support
    for four separate detectors. Our experiments and the derived model mark an important
    step in guiding further dissection of the fly motion detection circuit.
author:
- first_name: Hubert
  full_name: Eichner, Hubert
  last_name: Eichner
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Bettina
  full_name: Schnell, Bettina
  last_name: Schnell
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
citation:
  ama: Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. Internal structure of the
    fly elementary motion detector. <i>Neuron</i>. 2011;70(6):1155-1164. doi:<a href="https://doi.org/10.1016/j.neuron.2011.03.028">10.1016/j.neuron.2011.03.028</a>
  apa: Eichner, H., Jösch, M. A., Schnell, B., Reiff, D., &#38; Borst, A. (2011).
    Internal structure of the fly elementary motion detector. <i>Neuron</i>. Elsevier.
    <a href="https://doi.org/10.1016/j.neuron.2011.03.028">https://doi.org/10.1016/j.neuron.2011.03.028</a>
  chicago: Eichner, Hubert, Maximilian A Jösch, Bettina Schnell, Dierk Reiff, and
    Alexander Borst. “Internal Structure of the Fly Elementary Motion Detector.” <i>Neuron</i>.
    Elsevier, 2011. <a href="https://doi.org/10.1016/j.neuron.2011.03.028">https://doi.org/10.1016/j.neuron.2011.03.028</a>.
  ieee: H. Eichner, M. A. Jösch, B. Schnell, D. Reiff, and A. Borst, “Internal structure
    of the fly elementary motion detector,” <i>Neuron</i>, vol. 70, no. 6. Elsevier,
    pp. 1155–1164, 2011.
  ista: Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. 2011. Internal structure
    of the fly elementary motion detector. Neuron. 70(6), 1155–1164.
  mla: Eichner, Hubert, et al. “Internal Structure of the Fly Elementary Motion Detector.”
    <i>Neuron</i>, vol. 70, no. 6, Elsevier, 2011, pp. 1155–64, doi:<a href="https://doi.org/10.1016/j.neuron.2011.03.028">10.1016/j.neuron.2011.03.028</a>.
  short: H. Eichner, M.A. Jösch, B. Schnell, D. Reiff, A. Borst, Neuron 70 (2011)
    1155–1164.
date_created: 2018-12-11T11:51:14Z
date_published: 2011-06-23T00:00:00Z
date_updated: 2021-01-12T06:49:43Z
day: '23'
doi: 10.1016/j.neuron.2011.03.028
extern: 1
intvolume: '        70'
issue: '6'
month: '06'
page: 1155 - 1164
publication: Neuron
publication_status: published
publisher: Elsevier
publist_id: '5969'
quality_controlled: 0
status: public
title: Internal structure of the fly elementary motion detector
type: journal_article
volume: 70
year: '2011'
...
---
_id: '1300'
abstract:
- lang: eng
  text: 'Motion vision is a major function of all visual systems, yet the underlying
    neural mechanisms and circuits are still elusive. In the lamina, the first optic
    neuropile of Drosophila melanogaster, photoreceptor signals split into five parallel
    pathways, L1-L5. Here we examine how these pathways contribute to visual motion
    detection by combining genetic block and reconstitution of neural activity in
    different lamina cell types with whole-cell recordings from downstream motion-sensitive
    neurons. We find reduced responses to moving gratings if L1 or L2 is blocked;
    however, reconstitution of photoreceptor input to only L1 or L2 results in wild-type
    responses. Thus, the first experiment indicates the necessity of both pathways,
    whereas the second indicates sufficiency of each single pathway. This contradiction
    can be explained by electrical coupling between L1 and L2, allowing for activation
    of both pathways even when only one of them receives photoreceptor input. A fundamental
    difference between the L1 pathway and the L2 pathway is uncovered when blocking
    L1 or L2 output while presenting moving edges of positive (ON) or negative (OFF)
    contrast polarity: blocking L1 eliminates the response to moving ON edges, whereas
    blocking L2 eliminates the response to moving OFF edges. Thus, similar to the
    segregation of photoreceptor signals in ON and OFF bipolar cell pathways in the
    vertebrate retina, photoreceptor signals segregate into ON-L1 and OFF-L2 channels
    in the lamina of Drosophila.'
author:
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Bettina
  full_name: Schnell, Bettina
  last_name: Schnell
- first_name: Shamprasad
  full_name: Raghu, Shamprasad V
  last_name: Raghu
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
citation:
  ama: Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. ON and off pathways in Drosophila
    motion vision. <i>Nature</i>. 2010;468(7321):300-304. doi:<a href="https://doi.org/10.1038/nature09545">10.1038/nature09545</a>
  apa: Jösch, M. A., Schnell, B., Raghu, S., Reiff, D., &#38; Borst, A. (2010). ON
    and off pathways in Drosophila motion vision. <i>Nature</i>. Nature Publishing
    Group. <a href="https://doi.org/10.1038/nature09545">https://doi.org/10.1038/nature09545</a>
  chicago: Jösch, Maximilian A, Bettina Schnell, Shamprasad Raghu, Dierk Reiff, and
    Alexander Borst. “ON and off Pathways in Drosophila Motion Vision.” <i>Nature</i>.
    Nature Publishing Group, 2010. <a href="https://doi.org/10.1038/nature09545">https://doi.org/10.1038/nature09545</a>.
  ieee: M. A. Jösch, B. Schnell, S. Raghu, D. Reiff, and A. Borst, “ON and off pathways
    in Drosophila motion vision,” <i>Nature</i>, vol. 468, no. 7321. Nature Publishing
    Group, pp. 300–304, 2010.
  ista: Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. 2010. ON and off pathways
    in Drosophila motion vision. Nature. 468(7321), 300–304.
  mla: Jösch, Maximilian A., et al. “ON and off Pathways in Drosophila Motion Vision.”
    <i>Nature</i>, vol. 468, no. 7321, Nature Publishing Group, 2010, pp. 300–04,
    doi:<a href="https://doi.org/10.1038/nature09545">10.1038/nature09545</a>.
  short: M.A. Jösch, B. Schnell, S. Raghu, D. Reiff, A. Borst, Nature 468 (2010) 300–304.
date_created: 2018-12-11T11:51:14Z
date_published: 2010-11-11T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '11'
doi: 10.1038/nature09545
extern: 1
intvolume: '       468'
issue: '7321'
month: '11'
page: 300 - 304
publication: Nature
publication_status: published
publisher: Nature Publishing Group
publist_id: '5970'
quality_controlled: 0
status: public
title: ON and off pathways in Drosophila motion vision
type: journal_article
volume: 468
year: '2010'
...
---
_id: '1301'
abstract:
- lang: eng
  text: Motion vision is essential for navigating through the environment. Due to
    its genetic amenability, the fruit fly Drosophila has been serving for a lengthy
    period as a model organism for studying optomotor behavior as elicited by large-field
    horizontal motion. However, the neurons underlying the control of this behavior
    have not been studied in Drosophila so far. Here we report the first whole cell
    recordings from three cells of the horizontal system (HSN, HSE, and HSS) in the
    lobula plate of Drosophila. All three HS cells are tuned to large-field horizontal
    motion in a direction-selective way; they become excited by front-to-back motion
    and inhibited by back-to-front motion in the ipsilateral field of view. The response
    properties of HS cells such as contrast and velocity dependence are in accordance
    with the correlation-type model of motion detection. Neurobiotin injection suggests
    extensive coupling among ipsilateral HS cells and additional coupling to tangential
    cells that have their dendrites in the contralateral hemisphere of the brain.
    This connectivity scheme accounts for the complex layout of their receptive fields
    and explains their sensitivity both to ipsilateral and to contralateral motion.
    Thus the main response properties of Drosophila HS cells are strikingly similar
    to the responses of their counterparts in the blowfly Calliphora, although we
    found substantial differences with respect to their dendritic structure and connectivity.
    This long-awaited functional characterization of HS cells in Drosophila provides
    the basis for the future dissection of optomotor behavior and the underlying neural
    circuitry by combining genetics, physiology, and behavior.
acknowledgement: This work was supported by the Max-Planck-Society and by a Human
  Frontier Science Program grant to K. Ito, A. Borst, and B. Nelson.
article_processing_charge: No
article_type: original
author:
- first_name: Bettina
  full_name: Schnell, Bettina
  last_name: Schnell
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Friedrich
  full_name: Förstner, Friedrich
  last_name: Förstner
- first_name: Shamprasad
  full_name: Raghu, Shamprasad
  last_name: Raghu
- first_name: Hideo
  full_name: Otsuna, Hideo
  last_name: Otsuna
- first_name: Kei
  full_name: Ito, Kei
  last_name: Ito
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
- first_name: Dierk
  full_name: Reiff, Dierk
  last_name: Reiff
citation:
  ama: Schnell B, Jösch MA, Förstner F, et al. Processing of horizontal optic flow
    in three visual interneurons of the Drosophila brain. <i>Journal of Neurophysiology</i>.
    2010;103(3):1646-1657. doi:<a href="https://doi.org/10.1152/jn.00950.2009">10.1152/jn.00950.2009</a>
  apa: Schnell, B., Jösch, M. A., Förstner, F., Raghu, S., Otsuna, H., Ito, K., …
    Reiff, D. (2010). Processing of horizontal optic flow in three visual interneurons
    of the Drosophila brain. <i>Journal of Neurophysiology</i>. American Physiological
    Society. <a href="https://doi.org/10.1152/jn.00950.2009">https://doi.org/10.1152/jn.00950.2009</a>
  chicago: Schnell, Bettina, Maximilian A Jösch, Friedrich Förstner, Shamprasad Raghu,
    Hideo Otsuna, Kei Ito, Alexander Borst, and Dierk Reiff. “Processing of Horizontal
    Optic Flow in Three Visual Interneurons of the Drosophila Brain.” <i>Journal of
    Neurophysiology</i>. American Physiological Society, 2010. <a href="https://doi.org/10.1152/jn.00950.2009">https://doi.org/10.1152/jn.00950.2009</a>.
  ieee: B. Schnell <i>et al.</i>, “Processing of horizontal optic flow in three visual
    interneurons of the Drosophila brain,” <i>Journal of Neurophysiology</i>, vol.
    103, no. 3. American Physiological Society, pp. 1646–1657, 2010.
  ista: Schnell B, Jösch MA, Förstner F, Raghu S, Otsuna H, Ito K, Borst A, Reiff
    D. 2010. Processing of horizontal optic flow in three visual interneurons of the
    Drosophila brain. Journal of Neurophysiology. 103(3), 1646–1657.
  mla: Schnell, Bettina, et al. “Processing of Horizontal Optic Flow in Three Visual
    Interneurons of the Drosophila Brain.” <i>Journal of Neurophysiology</i>, vol.
    103, no. 3, American Physiological Society, 2010, pp. 1646–57, doi:<a href="https://doi.org/10.1152/jn.00950.2009">10.1152/jn.00950.2009</a>.
  short: B. Schnell, M.A. Jösch, F. Förstner, S. Raghu, H. Otsuna, K. Ito, A. Borst,
    D. Reiff, Journal of Neurophysiology 103 (2010) 1646–1657.
date_created: 2018-12-11T11:51:14Z
date_published: 2010-03-01T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '01'
doi: 10.1152/jn.00950.2009
extern: '1'
external_id:
  pmid:
  - '20089816'
intvolume: '       103'
issue: '3'
language:
- iso: eng
month: '03'
oa_version: None
page: 1646 - 1657
pmid: 1
publication: Journal of Neurophysiology
publication_identifier:
  eissn:
  - 1522-1598
  issn:
  - ' 0022-3077'
publication_status: published
publisher: American Physiological Society
publist_id: '5971'
quality_controlled: '1'
status: public
title: Processing of horizontal optic flow in three visual interneurons of the Drosophila
  brain
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 103
year: '2010'
...
---
_id: '1302'
abstract:
- lang: eng
  text: 'The nervous system of seeing animals derives information about optic flow
    in two subsequent steps. First, local motion vectors are calculated from moving
    retinal images, and second, the spatial distribution of these vectors is analyzed
    on the dendrites of large downstream neurons. In dipteran flies, this second step
    relies on a set of motion-sensitive lobula plate tangential cells (LPTCs), which
    have been studied in great detail in large fly species. Yet, studies on neurons
    that convey information to LPTCs and neuroanatomical investigations that enable
    a mechanistic understanding of the underlying dendritic computations in LPTCs
    are rare. We investigated the subcellular distribution of nicotinic acetylcholine
    receptors (nAChRs) on two sets of LPTCs: vertical system (VS) and horizontal system
    (HS) cells in Drosophila melanogaster. In this paper, we describe that both cell
    types express Dα7-type nAChR subunits specifically on higher order dendritic branches,
    similar to the expression of gamma aminobutyric acid (GABA) receptors. These findings
    support a model in which directional selectivity of LPTCs is achieved by the dendritic
    integration of excitatory, cholinergic, and inhibitory GABA-ergic input from local
    motion detectors with opposite preferred direction. Nonetheless, whole-cell recordings
    in mutant flies without Dα7 nAChRs revealed that direction selectivity of VS and
    HS cells is largely retained. In addition, mutant LPTCs were responsive to acetylcholine
    and remaining nAChR receptors were labeled by α-bungarotoxin. These results in
    LPTCs with genetically manipulated excitatory input synapses suggest a robust
    cellular implementation of dendritic processing that warrants direction selectivity.
    The underlying mechanism that ensures appropriate nAChR-mediated synaptic currents
    and the functional implications of separate sets or heteromultimeric nAChRs can
    now be addressed in this system.'
author:
- first_name: Shamprasad
  full_name: Raghu, Shamprasad V
  last_name: Raghu
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Stephan
  full_name: Sigrist, Stephan J
  last_name: Sigrist
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
citation:
  ama: 'Raghu S, Jösch MA, Sigrist S, Borst A, Reiff D. Synaptic organization of lobula
    plate tangential cells in Drosophila: Dα7 cholinergic receptors. <i>Journal of
    Neurogenetics</i>. 2009;23(1-2):200-209. doi:<a href="https://doi.org/10.1080/01677060802471684">10.1080/01677060802471684</a>'
  apa: 'Raghu, S., Jösch, M. A., Sigrist, S., Borst, A., &#38; Reiff, D. (2009). Synaptic
    organization of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors.
    <i>Journal of Neurogenetics</i>. Informa Healthcare. <a href="https://doi.org/10.1080/01677060802471684">https://doi.org/10.1080/01677060802471684</a>'
  chicago: 'Raghu, Shamprasad, Maximilian A Jösch, Stephan Sigrist, Alexander Borst,
    and Dierk Reiff. “Synaptic Organization of Lobula Plate Tangential Cells in Drosophila:
    Dα7 Cholinergic Receptors.” <i>Journal of Neurogenetics</i>. Informa Healthcare,
    2009. <a href="https://doi.org/10.1080/01677060802471684">https://doi.org/10.1080/01677060802471684</a>.'
  ieee: 'S. Raghu, M. A. Jösch, S. Sigrist, A. Borst, and D. Reiff, “Synaptic organization
    of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors,” <i>Journal
    of Neurogenetics</i>, vol. 23, no. 1–2. Informa Healthcare, pp. 200–209, 2009.'
  ista: 'Raghu S, Jösch MA, Sigrist S, Borst A, Reiff D. 2009. Synaptic organization
    of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors. Journal
    of Neurogenetics. 23(1–2), 200–209.'
  mla: 'Raghu, Shamprasad, et al. “Synaptic Organization of Lobula Plate Tangential
    Cells in Drosophila: Dα7 Cholinergic Receptors.” <i>Journal of Neurogenetics</i>,
    vol. 23, no. 1–2, Informa Healthcare, 2009, pp. 200–09, doi:<a href="https://doi.org/10.1080/01677060802471684">10.1080/01677060802471684</a>.'
  short: S. Raghu, M.A. Jösch, S. Sigrist, A. Borst, D. Reiff, Journal of Neurogenetics
    23 (2009) 200–209.
date_created: 2018-12-11T11:51:15Z
date_published: 2009-03-01T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '01'
doi: 10.1080/01677060802471684
extern: 1
intvolume: '        23'
issue: 1-2
month: '03'
page: 200 - 209
publication: Journal of Neurogenetics
publication_status: published
publisher: Informa Healthcare
publist_id: '5972'
quality_controlled: 0
status: public
title: 'Synaptic organization of lobula plate tangential cells in Drosophila: Dα7
  cholinergic receptors'
type: journal_article
volume: 23
year: '2009'
...
---
_id: '1296'
abstract:
- lang: eng
  text: The crystalline-like structure of the optic lobes of the fruit fly Drosophila
    melanogaster has made them a model system for the study of neuronal cell-fate
    determination, axonal path finding, and target selection. For functional studies,
    however, the small size of the constituting visual interneurons has so far presented
    a formidable barrier. We have overcome this problem by establishing in vivo whole-cell
    recordings [1] from genetically targeted visual interneurons of Drosophila. Here,
    we describe the response properties of six motion-sensitive large-field neurons
    in the lobula plate that form a network consisting of individually identifiable,
    directionally selective cells most sensitive to vertical image motion (VS cells
    [2, 3]). Individual VS cell responses to visual motion stimuli exhibit all the
    characteristics that are indicative of presynaptic input from elementary motion
    detectors of the correlation type [4, 5]. Different VS cells possess distinct
    receptive fields that are arranged sequentially along the eye's azimuth, corresponding
    to their characteristic cellular morphology and position within the retinotopically
    organized lobula plate. In addition, lateral connections between individual VS
    cells cause strongly overlapping receptive fields that are wider than expected
    from their dendritic input. Our results suggest that motion vision in different
    dipteran fly species is accomplished in similar circuitries and according to common
    algorithmic rules. The underlying neural mechanisms of population coding within
    the VS cell network and of elementary motion detection, respectively, can now
    be analyzed by the combination of electrophysiology and genetic intervention in
    Drosophila.
acknowledgement: This work was supported by the Max-Planck-Society and by a Human
  Frontier Science Program (HFSP) grant to K. Ito, A.B., and B. Nelson.
author:
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Johannes
  full_name: Plett, Johannes
  last_name: Plett
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
citation:
  ama: Jösch MA, Plett J, Borst A, Reiff D. Response properties of motion sensitive
    visual interneurons in the Lobula plate of Drosophila melanogaster. <i>Current
    Biology</i>. 2008;18(5):368-374. doi:<a href="https://doi.org/10.1016/j.cub.2008.02.022">10.1016/j.cub.2008.02.022</a>
  apa: Jösch, M. A., Plett, J., Borst, A., &#38; Reiff, D. (2008). Response properties
    of motion sensitive visual interneurons in the Lobula plate of Drosophila melanogaster.
    <i>Current Biology</i>. Cell Press. <a href="https://doi.org/10.1016/j.cub.2008.02.022">https://doi.org/10.1016/j.cub.2008.02.022</a>
  chicago: Jösch, Maximilian A, Johannes Plett, Alexander Borst, and Dierk Reiff.
    “Response Properties of Motion Sensitive Visual Interneurons in the Lobula Plate
    of Drosophila Melanogaster.” <i>Current Biology</i>. Cell Press, 2008. <a href="https://doi.org/10.1016/j.cub.2008.02.022">https://doi.org/10.1016/j.cub.2008.02.022</a>.
  ieee: M. A. Jösch, J. Plett, A. Borst, and D. Reiff, “Response properties of motion
    sensitive visual interneurons in the Lobula plate of Drosophila melanogaster,”
    <i>Current Biology</i>, vol. 18, no. 5. Cell Press, pp. 368–374, 2008.
  ista: Jösch MA, Plett J, Borst A, Reiff D. 2008. Response properties of motion sensitive
    visual interneurons in the Lobula plate of Drosophila melanogaster. Current Biology.
    18(5), 368–374.
  mla: Jösch, Maximilian A., et al. “Response Properties of Motion Sensitive Visual
    Interneurons in the Lobula Plate of Drosophila Melanogaster.” <i>Current Biology</i>,
    vol. 18, no. 5, Cell Press, 2008, pp. 368–74, doi:<a href="https://doi.org/10.1016/j.cub.2008.02.022">10.1016/j.cub.2008.02.022</a>.
  short: M.A. Jösch, J. Plett, A. Borst, D. Reiff, Current Biology 18 (2008) 368–374.
date_created: 2018-12-11T11:51:13Z
date_published: 2008-03-11T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '11'
doi: 10.1016/j.cub.2008.02.022
extern: 1
intvolume: '        18'
issue: '5'
month: '03'
page: 368 - 374
publication: Current Biology
publication_status: published
publisher: Cell Press
publist_id: '5973'
quality_controlled: 0
status: public
title: Response properties of motion sensitive visual interneurons in the Lobula plate
  of Drosophila melanogaster
type: journal_article
volume: 18
year: '2008'
...
---
_id: '1297'
abstract:
- lang: eng
  text: In flies, the large tangential cells of the lobula plate represent an important
    processing center for visual navigation based on optic flow. Although the visual
    response properties of these cells have been well studied in blowflies, information
    on their synaptic organization is mostly lacking. Here we study the distribution
    of presynaptic release and postsynaptic inhibitory sites in the same set of cells
    in Drosophila melanogaster. By making use of transgenic tools and immunohistochemistry,
    our results suggest that HS and VS cells of Drosophila express γ-aminobutyric
    acid (GABA) receptors in their dendritic region within the lobula plate, thus
    being postsynaptic to inhibitory input there. At their axon terminals in the protocerebrum,
    both cell types express synaptobrevin, suggesting the presence of presynaptic
    specializations there. HS- and VS-cell terminals additionally show evidence for
    postsynaptic GABAergic input, superimposed on this synaptic polarity. Our findings
    are in line with the general circuit for visual motion detection and receptive
    field properties as postulated from electrophysiological and optical recordings
    in blowflies, suggesting a similar functional organization of lobula plate tangential
    cells in the two species.
author:
- first_name: Shamprasad
  full_name: Raghu, Shamprasad V
  last_name: Raghu
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
citation:
  ama: 'Raghu S, Jösch MA, Borst A, Reiff D. Synaptic organization of lobula plate
    tangential cells in Drosophila: γ-aminobutyric acid receptors and chemical release
    sites. <i>Journal of Comparative Neurology</i>. 2007;502(4):598-610. doi:<a href="https://doi.org/10.1002/cne.21319">10.1002/cne.21319</a>'
  apa: 'Raghu, S., Jösch, M. A., Borst, A., &#38; Reiff, D. (2007). Synaptic organization
    of lobula plate tangential cells in Drosophila: γ-aminobutyric acid receptors
    and chemical release sites. <i>Journal of Comparative Neurology</i>. Wiley-Blackwell.
    <a href="https://doi.org/10.1002/cne.21319">https://doi.org/10.1002/cne.21319</a>'
  chicago: 'Raghu, Shamprasad, Maximilian A Jösch, Alexander Borst, and Dierk Reiff.
    “Synaptic Organization of Lobula Plate Tangential Cells in Drosophila: γ-Aminobutyric
    Acid Receptors and Chemical Release Sites.” <i>Journal of Comparative Neurology</i>.
    Wiley-Blackwell, 2007. <a href="https://doi.org/10.1002/cne.21319">https://doi.org/10.1002/cne.21319</a>.'
  ieee: 'S. Raghu, M. A. Jösch, A. Borst, and D. Reiff, “Synaptic organization of
    lobula plate tangential cells in Drosophila: γ-aminobutyric acid receptors and
    chemical release sites,” <i>Journal of Comparative Neurology</i>, vol. 502, no.
    4. Wiley-Blackwell, pp. 598–610, 2007.'
  ista: 'Raghu S, Jösch MA, Borst A, Reiff D. 2007. Synaptic organization of lobula
    plate tangential cells in Drosophila: γ-aminobutyric acid receptors and chemical
    release sites. Journal of Comparative Neurology. 502(4), 598–610.'
  mla: 'Raghu, Shamprasad, et al. “Synaptic Organization of Lobula Plate Tangential
    Cells in Drosophila: γ-Aminobutyric Acid Receptors and Chemical Release Sites.”
    <i>Journal of Comparative Neurology</i>, vol. 502, no. 4, Wiley-Blackwell, 2007,
    pp. 598–610, doi:<a href="https://doi.org/10.1002/cne.21319">10.1002/cne.21319</a>.'
  short: S. Raghu, M.A. Jösch, A. Borst, D. Reiff, Journal of Comparative Neurology
    502 (2007) 598–610.
date_created: 2018-12-11T11:51:13Z
date_published: 2007-06-01T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '01'
doi: 10.1002/cne.21319
extern: 1
intvolume: '       502'
issue: '4'
month: '06'
page: 598 - 610
publication: Journal of Comparative Neurology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5974'
quality_controlled: 0
status: public
title: 'Synaptic organization of lobula plate tangential cells in Drosophila: γ-aminobutyric
  acid receptors and chemical release sites'
type: journal_article
volume: 502
year: '2007'
...
---
_id: '1298'
abstract:
- lang: eng
  text: Genetically encoded fluorescent probes of neural activity represent new promising
    tools for systems neuroscience. Here, we present a comparative in vivo analysis
    of 10 different genetically encoded calcium indicators, as well as the pH-sensitive
    synapto-pHluorin. We analyzed their fluorescence changes in presynaptic boutons
    of the Drosophila larval neuromuscular junction. Robust neural activity did not
    result in any or noteworthy fluorescence changes when Flash-Pericam, Camgaroo-1,
    and Camgaroo-2 were expressed. However, calculated on the raw data, fractional
    fluorescence changes up to 18% were reported by synapto-pHluorin, Yellow Cameleon
    2.0, 2.3, and 3.3, Inverse-Pericam, GCaMP1.3, GCaMP1.6, and the troponin C-based
    calcium sensor TN-L15. The response characteristics of all of these indicators
    differed considerably from each other, with GCaMP1.6 reporting high rates of neural
    activity with the largest and fastest fluorescence changes. However, GCaMP1.6
    suffered from photobleaching, whereas the fluorescence signals of the double-chromophore
    indicators were in general smaller but more photostable and reproducible, with
    TN-L15 showing the fastest rise of the signals at lower activity rates. We show
    for GCaMP1.3 and YC3.3 that an expanded range of neural activity evoked fairly
    linear fluorescence changes and a corresponding linear increase in the signal-to-noise
    ratio (SNR). The expression level of the indicator biased the signal kinetics
    and SNR, whereas the signal amplitude was independent. The presented data will
    be useful for in vivo experiments with respect to the selection of an appropriate
    indicator, as well as for the correct interpretation of the optical signals.
acknowledgement: This work was supported by the Max-Planck-Society.
author:
- first_name: Dierk
  full_name: Reiff, Dierk F
  last_name: Reiff
- first_name: Alexandra
  full_name: Ihring, Alexandra
  last_name: Ihring
- first_name: Giovanna
  full_name: Guerrero, Giovanna
  last_name: Guerrero
- first_name: Ehud
  full_name: Isacoff, Ehud Y
  last_name: Isacoff
- first_name: Maximilian A
  full_name: Maximilian Jösch
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
- first_name: Junichi
  full_name: Nakai, Junichi
  last_name: Nakai
- first_name: Alexander
  full_name: Borst, Alexander
  last_name: Borst
citation:
  ama: Reiff D, Ihring A, Guerrero G, et al. In vivo performance of genetically encoded
    indicators of neural activity in flies. <i>Journal of Neuroscience</i>. 2005;25(19):4766-4778.
    doi:<a href="https://doi.org/10.1523/JNEUROSCI.4900-04.2005">10.1523/JNEUROSCI.4900-04.2005</a>
  apa: Reiff, D., Ihring, A., Guerrero, G., Isacoff, E., Jösch, M. A., Nakai, J.,
    &#38; Borst, A. (2005). In vivo performance of genetically encoded indicators
    of neural activity in flies. <i>Journal of Neuroscience</i>. Society for Neuroscience.
    <a href="https://doi.org/10.1523/JNEUROSCI.4900-04.2005">https://doi.org/10.1523/JNEUROSCI.4900-04.2005</a>
  chicago: Reiff, Dierk, Alexandra Ihring, Giovanna Guerrero, Ehud Isacoff, Maximilian
    A Jösch, Junichi Nakai, and Alexander Borst. “In Vivo Performance of Genetically
    Encoded Indicators of Neural Activity in Flies.” <i>Journal of Neuroscience</i>.
    Society for Neuroscience, 2005. <a href="https://doi.org/10.1523/JNEUROSCI.4900-04.2005">https://doi.org/10.1523/JNEUROSCI.4900-04.2005</a>.
  ieee: D. Reiff <i>et al.</i>, “In vivo performance of genetically encoded indicators
    of neural activity in flies,” <i>Journal of Neuroscience</i>, vol. 25, no. 19.
    Society for Neuroscience, pp. 4766–4778, 2005.
  ista: Reiff D, Ihring A, Guerrero G, Isacoff E, Jösch MA, Nakai J, Borst A. 2005.
    In vivo performance of genetically encoded indicators of neural activity in flies.
    Journal of Neuroscience. 25(19), 4766–4778.
  mla: Reiff, Dierk, et al. “In Vivo Performance of Genetically Encoded Indicators
    of Neural Activity in Flies.” <i>Journal of Neuroscience</i>, vol. 25, no. 19,
    Society for Neuroscience, 2005, pp. 4766–78, doi:<a href="https://doi.org/10.1523/JNEUROSCI.4900-04.2005">10.1523/JNEUROSCI.4900-04.2005</a>.
  short: D. Reiff, A. Ihring, G. Guerrero, E. Isacoff, M.A. Jösch, J. Nakai, A. Borst,
    Journal of Neuroscience 25 (2005) 4766–4778.
date_created: 2018-12-11T11:51:13Z
date_published: 2005-03-11T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '11'
doi: 10.1523/JNEUROSCI.4900-04.2005
extern: 1
intvolume: '        25'
issue: '19'
month: '03'
page: 4766 - 4778
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5975'
quality_controlled: 0
status: public
title: In vivo performance of genetically encoded indicators of neural activity in
  flies
type: journal_article
volume: 25
year: '2005'
...
