---
_id: '12562'
abstract:
- lang: eng
  text: Presynaptic inputs determine the pattern of activation of postsynaptic neurons
    in a neural circuit. Molecular and genetic pathways that regulate the selective
    formation of subsets of presynaptic inputs are largely unknown, despite significant
    understanding of the general process of synaptogenesis. In this study, we have
    begun to identify such factors using the spinal monosynaptic stretch reflex circuit
    as a model system. In this neuronal circuit, Ia proprioceptive afferents establish
    monosynaptic connections with spinal motor neurons that project to the same muscle
    (termed homonymous connections) or muscles with related or synergistic function.
    However, monosynaptic connections are not formed with motor neurons innervating
    muscles with antagonistic functions. The ETS transcription factor ER81 (also known
    as ETV1) is expressed by all proprioceptive afferents, but only a small set of
    motor neuron pools in the lumbar spinal cord of the mouse. Here we use conditional
    mouse genetic techniques to eliminate Er81 expression selectively from motor neurons.
    We find that ablation of Er81 in motor neurons reduces synaptic inputs from proprioceptive
    afferents conveying information from homonymous and synergistic muscles, with
    no change observed in the connectivity pattern from antagonistic proprioceptive
    afferents. In summary, these findings suggest a role for ER81 in defined motor
    neuron pools to control the assembly of specific presynaptic inputs and thereby
    influence the profile of activation of these motor neurons.
acknowledgement: The authors gratefully thank Dr. Silvia Arber, University of Basel
  and Friedrich Miescher Institute for Biomedical Research, for support and in whose
  lab the data were collected. For advice on statistical analysis, we thank Michael
  Bottomley from the Statistical Consulting Center, College of Science and Mathematics,
  Wright State University.
article_processing_charge: No
article_type: original
author:
- first_name: David R.
  full_name: Ladle, David R.
  last_name: Ladle
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
citation:
  ama: Ladle DR, Hippenmeyer S. Loss of ETV1/ER81 in motor neurons leads to reduced
    monosynaptic inputs from proprioceptive sensory neurons. <i>Journal of Neurophysiology</i>.
    2023;129(3):501-512. doi:<a href="https://doi.org/10.1152/jn.00172.2022">10.1152/jn.00172.2022</a>
  apa: Ladle, D. R., &#38; Hippenmeyer, S. (2023). Loss of ETV1/ER81 in motor neurons
    leads to reduced monosynaptic inputs from proprioceptive sensory neurons. <i>Journal
    of Neurophysiology</i>. American Physiological Society. <a href="https://doi.org/10.1152/jn.00172.2022">https://doi.org/10.1152/jn.00172.2022</a>
  chicago: Ladle, David R., and Simon Hippenmeyer. “Loss of ETV1/ER81 in Motor Neurons
    Leads to Reduced Monosynaptic Inputs from Proprioceptive Sensory Neurons.” <i>Journal
    of Neurophysiology</i>. American Physiological Society, 2023. <a href="https://doi.org/10.1152/jn.00172.2022">https://doi.org/10.1152/jn.00172.2022</a>.
  ieee: D. R. Ladle and S. Hippenmeyer, “Loss of ETV1/ER81 in motor neurons leads
    to reduced monosynaptic inputs from proprioceptive sensory neurons,” <i>Journal
    of Neurophysiology</i>, vol. 129, no. 3. American Physiological Society, pp. 501–512,
    2023.
  ista: Ladle DR, Hippenmeyer S. 2023. Loss of ETV1/ER81 in motor neurons leads to
    reduced monosynaptic inputs from proprioceptive sensory neurons. Journal of Neurophysiology.
    129(3), 501–512.
  mla: Ladle, David R., and Simon Hippenmeyer. “Loss of ETV1/ER81 in Motor Neurons
    Leads to Reduced Monosynaptic Inputs from Proprioceptive Sensory Neurons.” <i>Journal
    of Neurophysiology</i>, vol. 129, no. 3, American Physiological Society, 2023,
    pp. 501–12, doi:<a href="https://doi.org/10.1152/jn.00172.2022">10.1152/jn.00172.2022</a>.
  short: D.R. Ladle, S. Hippenmeyer, Journal of Neurophysiology 129 (2023) 501–512.
date_created: 2023-02-15T14:46:14Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2023-09-05T12:13:34Z
day: '01'
department:
- _id: SiHi
doi: 10.1152/jn.00172.2022
external_id:
  isi:
  - '000957721600001'
  pmid:
  - '36695533'
intvolume: '       129'
isi: 1
issue: '3'
keyword:
- Physiology
- General Neuroscience
language:
- iso: eng
month: '03'
oa_version: None
page: 501-512
pmid: 1
publication: Journal of Neurophysiology
publication_identifier:
  eissn:
  - 1522-1598
  issn:
  - 0022-3077
publication_status: published
publisher: American Physiological Society
quality_controlled: '1'
status: public
title: Loss of ETV1/ER81 in motor neurons leads to reduced monosynaptic inputs from
  proprioceptive sensory neurons
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 129
year: '2023'
...
---
_id: '8023'
abstract:
- lang: eng
  text: Uniform random sparse network architectures are ubiquitous in computational
    neuroscience, but the implicit hypothesis that they are a good representation
    of real neuronal networks has been met with skepticism. Here we used two experimental
    data sets, a study of triplet connectivity statistics and a data set measuring
    neuronal responses to channelrhodopsin stimuli, to evaluate the fidelity of thousands
    of model networks. Network architectures comprised three neuron types (excitatory,
    fast spiking, and nonfast spiking inhibitory) and were created from a set of rules
    that govern the statistics of the resulting connection types. In a high-dimensional
    parameter scan, we varied the degree distributions (i.e., how many cells each
    neuron connects with) and the synaptic weight correlations of synapses from or
    onto the same neuron. These variations converted initially uniform random and
    homogeneously connected networks, in which every neuron sent and received equal
    numbers of synapses with equal synaptic strength distributions, to highly heterogeneous
    networks in which the number of synapses per neuron, as well as average synaptic
    strength of synapses from or to a neuron were variable. By evaluating the impact
    of each variable on the network structure and dynamics, and their similarity to
    the experimental data, we could falsify the uniform random sparse connectivity
    hypothesis for 7 of 36 connectivity parameters, but we also confirmed the hypothesis
    in 8 cases. Twenty-one parameters had no substantial impact on the results of
    the test protocols we used.
article_processing_charge: No
article_type: original
author:
- first_name: Christian
  full_name: Tomm, Christian
  last_name: Tomm
- first_name: Michael
  full_name: Avermann, Michael
  last_name: Avermann
- first_name: Carl
  full_name: Petersen, Carl
  last_name: Petersen
- first_name: Wulfram
  full_name: Gerstner, Wulfram
  last_name: Gerstner
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
citation:
  ama: Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. Connection-type-specific
    biases make uniform random network models consistent with cortical recordings.
    <i>Journal of Neurophysiology</i>. 2014;112(8):1801-1814. doi:<a href="https://doi.org/10.1152/jn.00629.2013">10.1152/jn.00629.2013</a>
  apa: Tomm, C., Avermann, M., Petersen, C., Gerstner, W., &#38; Vogels, T. P. (2014).
    Connection-type-specific biases make uniform random network models consistent
    with cortical recordings. <i>Journal of Neurophysiology</i>. American Physiological
    Society. <a href="https://doi.org/10.1152/jn.00629.2013">https://doi.org/10.1152/jn.00629.2013</a>
  chicago: Tomm, Christian, Michael Avermann, Carl Petersen, Wulfram Gerstner, and
    Tim P Vogels. “Connection-Type-Specific Biases Make Uniform Random Network Models
    Consistent with Cortical Recordings.” <i>Journal of Neurophysiology</i>. American
    Physiological Society, 2014. <a href="https://doi.org/10.1152/jn.00629.2013">https://doi.org/10.1152/jn.00629.2013</a>.
  ieee: C. Tomm, M. Avermann, C. Petersen, W. Gerstner, and T. P. Vogels, “Connection-type-specific
    biases make uniform random network models consistent with cortical recordings,”
    <i>Journal of Neurophysiology</i>, vol. 112, no. 8. American Physiological Society,
    pp. 1801–1814, 2014.
  ista: Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. 2014. Connection-type-specific
    biases make uniform random network models consistent with cortical recordings.
    Journal of Neurophysiology. 112(8), 1801–1814.
  mla: Tomm, Christian, et al. “Connection-Type-Specific Biases Make Uniform Random
    Network Models Consistent with Cortical Recordings.” <i>Journal of Neurophysiology</i>,
    vol. 112, no. 8, American Physiological Society, 2014, pp. 1801–14, doi:<a href="https://doi.org/10.1152/jn.00629.2013">10.1152/jn.00629.2013</a>.
  short: C. Tomm, M. Avermann, C. Petersen, W. Gerstner, T.P. Vogels, Journal of Neurophysiology
    112 (2014) 1801–1814.
date_created: 2020-06-25T13:08:30Z
date_published: 2014-10-15T00:00:00Z
date_updated: 2021-01-12T08:16:35Z
day: '15'
ddc:
- '570'
doi: 10.1152/jn.00629.2013
extern: '1'
external_id:
  pmid:
  - '24944218'
file:
- access_level: open_access
  checksum: 7c06a086da6f924342650de6dc555c3f
  content_type: application/pdf
  creator: cziletti
  date_created: 2020-07-16T10:12:13Z
  date_updated: 2020-07-16T10:12:13Z
  file_id: '8122'
  file_name: 2014_JNeurophysiol_Tomm.pdf
  file_size: 1632295
  relation: main_file
  success: 1
file_date_updated: 2020-07-16T10:12:13Z
has_accepted_license: '1'
intvolume: '       112'
issue: '8'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/3.0/
month: '10'
oa: 1
oa_version: Published Version
page: 1801-1814
pmid: 1
publication: Journal of Neurophysiology
publication_identifier:
  eissn:
  - 1522-1598
  issn:
  - 0022-3077
publication_status: published
publisher: American Physiological Society
quality_controlled: '1'
status: public
title: Connection-type-specific biases make uniform random network models consistent
  with cortical recordings
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
  name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
  short: CC BY (3.0)
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 112
year: '2014'
...
---
_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'
...
