---
_id: '14314'
abstract:
- lang: eng
  text: The execution of cognitive functions requires coordinated circuit activity
    across different brain areas that involves the associated firing of neuronal assemblies.
    Here, we tested the circuit mechanism behind assembly interactions between the
    hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording
    neuronal populations during a rule-switching task. We identified functionally
    coupled CA1-mPFC cells that synchronized their activity beyond that expected from
    common spatial coding or oscillatory firing. When such cell pairs fired together,
    the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent
    theta firing phases, independent of the theta timing of their CA1 counterpart.
    These functionally connected CA1-mPFC cells formed interconnected assemblies.
    While firing together with their CA1 assembly partners, mPFC cells fired along
    specific theta sequences. Our results suggest that upregulated theta oscillatory
    firing of mPFC cells can signal transient interactions with specific CA1 assemblies,
    thus enabling distributed computations.
acknowledgement: We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on
  an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS
  (grant 607616).
article_number: '113015'
article_processing_charge: Yes
article_type: original
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Karola
  full_name: Käfer, Karola
  id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
  last_name: Käfer
- first_name: Federico
  full_name: Stella, Federico
  id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
  last_name: Stella
  orcid: 0000-0001-9439-3148
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
citation:
  ama: Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate
    for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>.
    2023;42(9). doi:<a href="https://doi.org/10.1016/j.celrep.2023.113015">10.1016/j.celrep.2023.113015</a>
  apa: Nardin, M., Käfer, K., Stella, F., &#38; Csicsvari, J. L. (2023). Theta oscillations
    as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell
    Reports</i>. Elsevier. <a href="https://doi.org/10.1016/j.celrep.2023.113015">https://doi.org/10.1016/j.celrep.2023.113015</a>
  chicago: Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari.
    “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly
    Interactions.” <i>Cell Reports</i>. Elsevier, 2023. <a href="https://doi.org/10.1016/j.celrep.2023.113015">https://doi.org/10.1016/j.celrep.2023.113015</a>.
  ieee: M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as
    a substrate for medial prefrontal-hippocampal assembly interactions,” <i>Cell
    Reports</i>, vol. 42, no. 9. Elsevier, 2023.
  ista: Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate
    for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9),
    113015.
  mla: Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal
    Assembly Interactions.” <i>Cell Reports</i>, vol. 42, no. 9, 113015, Elsevier,
    2023, doi:<a href="https://doi.org/10.1016/j.celrep.2023.113015">10.1016/j.celrep.2023.113015</a>.
  short: M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).
date_created: 2023-09-10T22:01:11Z
date_published: 2023-09-26T00:00:00Z
date_updated: 2023-09-15T07:14:12Z
day: '26'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.celrep.2023.113015
ec_funded: 1
external_id:
  pmid:
  - '37632747'
file:
- access_level: open_access
  checksum: ca77a304fb813c292550b8604b0fb41d
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  creator: dernst
  date_created: 2023-09-15T07:12:46Z
  date_updated: 2023-09-15T07:12:46Z
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month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '607616'
  name: Inter-and intracellular signalling in schizophrenia
publication: Cell Reports
publication_identifier:
  eissn:
  - 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Theta oscillations as a substrate for medial prefrontal-hippocampal assembly
  interactions
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '14656'
abstract:
- lang: eng
  text: Although much is known about how single neurons in the hippocampus represent
    an animal's position, how circuit interactions contribute to spatial coding is
    less well understood. Using a novel statistical estimator and theoretical modeling,
    both developed in the framework of maximum entropy models, we reveal highly structured
    CA1 cell-cell interactions in male rats during open field exploration. The statistics
    of these interactions depend on whether the animal is in a familiar or novel environment.
    In both conditions the circuit interactions optimize the encoding of spatial information,
    but for regimes that differ in the informativeness of their spatial inputs. This
    structure facilitates linear decodability, making the information easy to read
    out by downstream circuits. Overall, our findings suggest that the efficient coding
    hypothesis is not only applicable to individual neuron properties in the sensory
    periphery, but also to neural interactions in the central brain.
acknowledgement: M.N. was supported by the European Union Horizon 2020 Grant 665385.
  J.C. was supported by the European Research Council Consolidator Grant 281511. G.T.
  was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported
  by an Institute of Science and Technology fellow award and by the National Science
  Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and
  Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella,
  Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi,
  Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Cristina
  full_name: Savin, Cristina
  id: 3933349E-F248-11E8-B48F-1D18A9856A87
  last_name: Savin
citation:
  ama: Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1
    interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>.
    2023;43(48):8140-8156. doi:<a href="https://doi.org/10.1523/JNEUROSCI.0194-23.2023">10.1523/JNEUROSCI.0194-23.2023</a>
  apa: Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (2023). The structure
    of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The
    Journal of Neuroscience</i>. Society of Neuroscience. <a href="https://doi.org/10.1523/JNEUROSCI.0194-23.2023">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>
  chicago: Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin.
    “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across
    Experience.” <i>The Journal of Neuroscience</i>. Society of Neuroscience, 2023.
    <a href="https://doi.org/10.1523/JNEUROSCI.0194-23.2023">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>.
  ieee: M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal
    CA1 interactions optimizes spatial coding across experience,” <i>The Journal of
    Neuroscience</i>, vol. 43, no. 48. Society of Neuroscience, pp. 8140–8156, 2023.
  ista: Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal
    CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience.
    43(48), 8140–8156.
  mla: Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes
    Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>, vol. 43,
    no. 48, Society of Neuroscience, 2023, pp. 8140–56, doi:<a href="https://doi.org/10.1523/JNEUROSCI.0194-23.2023">10.1523/JNEUROSCI.0194-23.2023</a>.
  short: M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience
    43 (2023) 8140–8156.
date_created: 2023-12-10T23:00:58Z
date_published: 2023-11-29T00:00:00Z
date_updated: 2023-12-11T11:37:20Z
day: '29'
ddc:
- '570'
department:
- _id: JoCs
- _id: GaTk
doi: 10.1523/JNEUROSCI.0194-23.2023
ec_funded: 1
external_id:
  pmid:
  - '37758476'
file:
- access_level: closed
  checksum: e2503c8f84be1050e28f64320f1d5bd2
  content_type: application/pdf
  creator: dernst
  date_created: 2023-12-11T11:30:37Z
  date_updated: 2023-12-11T11:30:37Z
  embargo: 2024-06-01
  embargo_to: open_access
  file_id: '14674'
  file_name: 2023_JourNeuroscience_Nardin.pdf
  file_size: 2280632
  relation: main_file
file_date_updated: 2023-12-11T11:30:37Z
has_accepted_license: '1'
intvolume: '        43'
issue: '48'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1523/JNEUROSCI.0194-23.2023
month: '11'
oa: 1
oa_version: Published Version
page: 8140-8156
pmid: 1
project:
- _id: 257A4776-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '281511'
  name: Memory-related information processing in neuronal circuits of the hippocampus
    and entorhinal cortex
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: The Journal of Neuroscience
publication_identifier:
  eissn:
  - 1529-2401
publication_status: published
publisher: Society of Neuroscience
quality_controlled: '1'
scopus_import: '1'
status: public
title: The structure of hippocampal CA1 interactions optimizes spatial coding across
  experience
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 43
year: '2023'
...
---
_id: '11932'
abstract:
- lang: eng
  text: "The ability to form and retrieve memories is central to survival. In mammals,
    the hippocampus\r\nis a brain region essential to the acquisition and consolidation
    of new memories. It is also\r\ninvolved in keeping track of one’s position in
    space and aids navigation. Although this\r\nspace-memory has been a source of
    contradiction, evidence supports the view that the role of\r\nthe hippocampus
    in navigation is memory, thanks to the formation of cognitive maps. First\r\nintroduced
    by Tolman in 1948, cognitive maps are generally used to organize experiences in\r\nmemory;
    however, the detailed mechanisms by which these maps are formed and stored are
    not\r\nyet agreed upon. Some influential theories describe this process as involving
    three fundamental\r\nsteps: initial encoding by the hippocampus, interactions
    between the hippocampus and other\r\ncortical areas, and long-term extra-hippocampal
    consolidation. In this thesis, I will show how\r\nthe investigation of cognitive
    maps of space helped to shed light on each of these three memory\r\nprocesses.\r\nThe
    first study included in this thesis deals with the initial encoding of spatial
    memories in\r\nthe hippocampus. Much is known about encoding at the level of single
    cells, but less about\r\ntheir co-activity or joint contribution to the encoding
    of novel spatial information. I will\r\ndescribe the structure of an interaction
    network that allows for efficient encoding of noisy\r\nspatial information during
    the first exploration of a novel environment.\r\nThe second study describes the
    interactions between the hippocampus and the prefrontal\r\ncortex (PFC), two areas
    directly and indirectly connected. It is known that the PFC, in concert\r\nwith
    the hippocampus, is involved in various processes, including memory storage and
    spatial\r\nnavigation. Nonetheless, the detailed mechanisms by which PFC receives
    information from the\r\nhippocampus are not clear. I will show how a transient
    improvement in theta phase locking of\r\nPFC cells enables interactions of cell
    pairs across the two regions.\r\nThe third study describes the learning of behaviorally-relevant
    spatial locations in the hippocampus and the medial entorhinal cortex. I will
    show how the accumulation of firing around\r\ngoal locations, a correlate of learning,
    can shed light on the transition from short- to long-term\r\nspatial memories
    and the speed of consolidation in different brain areas.\r\nThe studies included
    in this thesis represent the main scientific contributions of my Ph.D. They\r\ninvolve
    statistical analyses and models of neural responses of cells in different brain
    areas of\r\nrats executing spatial tasks. I will conclude the thesis by discussing
    the impact of the findings\r\non principles of memory formation and retention,
    including the mechanisms, the speed, and\r\nthe duration of these processes."
acknowledgement: I acknowledge the support from the European Union’s Horizon 2020
  research and innovation program under the Marie Skłodowska-Curie Grant Agreement
  No. 665385.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
citation:
  ama: Nardin M. On the encoding, transfer, and consolidation of spatial memories.
    2022. doi:<a href="https://doi.org/10.15479/at:ista:11932">10.15479/at:ista:11932</a>
  apa: Nardin, M. (2022). <i>On the encoding, transfer, and consolidation of spatial
    memories</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:11932">https://doi.org/10.15479/at:ista:11932</a>
  chicago: Nardin, Michele. “On the Encoding, Transfer, and Consolidation of Spatial
    Memories.” Institute of Science and Technology Austria, 2022. <a href="https://doi.org/10.15479/at:ista:11932">https://doi.org/10.15479/at:ista:11932</a>.
  ieee: M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,”
    Institute of Science and Technology Austria, 2022.
  ista: Nardin M. 2022. On the encoding, transfer, and consolidation of spatial memories.
    Institute of Science and Technology Austria.
  mla: Nardin, Michele. <i>On the Encoding, Transfer, and Consolidation of Spatial
    Memories</i>. Institute of Science and Technology Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11932">10.15479/at:ista:11932</a>.
  short: M. Nardin, On the Encoding, Transfer, and Consolidation of Spatial Memories,
    Institute of Science and Technology Austria, 2022.
date_created: 2022-08-19T08:52:30Z
date_published: 2022-08-19T00:00:00Z
date_updated: 2023-09-05T12:02:14Z
day: '19'
ddc:
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/at:ista:11932
ec_funded: 1
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language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '136'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10077'
    relation: part_of_dissertation
    status: public
  - id: '6194'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
title: On the encoding, transfer, and consolidation of spatial memories
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '10077'
abstract:
- lang: eng
  text: Although much is known about how single neurons in the hippocampus represent
    an animal’s position, how cell-cell interactions contribute to spatial coding
    remains poorly understood. Using a novel statistical estimator and theoretical
    modeling, both developed in the framework of maximum entropy models, we reveal
    highly structured cell-to-cell interactions whose statistics depend on familiar
    vs. novel environment. In both conditions the circuit interactions optimize the
    encoding of spatial information, but for regimes that differ in the signal-to-noise
    ratio of their spatial inputs. Moreover, the topology of the interactions facilitates
    linear decodability, making the information easy to read out by downstream circuits.
    These findings suggest that the efficient coding hypothesis is not applicable
    only to individual neuron properties in the sensory periphery, but also to neural
    interactions in the central brain.
acknowledgement: We thank Peter Baracskay, Karola Kaefer and Hugo Malagon-Vina for
  the acquisition of the data. We thank Federico Stella for comments on an earlier
  version of the manuscript. MN was supported by European Union Horizon 2020 grant
  665385, JC was supported by European Research Council consolidator grant 281511,
  GT was supported by the Austrian Science Fund (FWF) grant P34015, CS was supported
  by an IST fellow grant, National Institute of Mental Health Award 1R01MH125571-01,
  by the National Science Foundation under NSF Award No. 1922658 and a Google faculty
  award.
article_processing_charge: No
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
- first_name: Cristina
  full_name: Savin, Cristina
  id: 3933349E-F248-11E8-B48F-1D18A9856A87
  last_name: Savin
citation:
  ama: Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1
    interactions optimizes spatial coding across experience. <i>bioRxiv</i>. doi:<a
    href="https://doi.org/10.1101/2021.09.28.460602">10.1101/2021.09.28.460602</a>
  apa: Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (n.d.). The structure
    of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>.
    Cold Spring Harbor Laboratory. <a href="https://doi.org/10.1101/2021.09.28.460602">https://doi.org/10.1101/2021.09.28.460602</a>
  chicago: Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin.
    “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across
    Experience.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href="https://doi.org/10.1101/2021.09.28.460602">https://doi.org/10.1101/2021.09.28.460602</a>.
  ieee: M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal
    CA1 interactions optimizes spatial coding across experience,” <i>bioRxiv</i>.
    Cold Spring Harbor Laboratory.
  ista: Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1
    interactions optimizes spatial coding across experience. bioRxiv, <a href="https://doi.org/10.1101/2021.09.28.460602">10.1101/2021.09.28.460602</a>.
  mla: Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes
    Spatial Coding across Experience.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory,
    doi:<a href="https://doi.org/10.1101/2021.09.28.460602">10.1101/2021.09.28.460602</a>.
  short: M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, BioRxiv (n.d.).
date_created: 2021-10-04T06:23:34Z
date_published: 2021-09-29T00:00:00Z
date_updated: 2024-03-25T23:30:09Z
day: '29'
department:
- _id: GradSch
- _id: JoCs
- _id: GaTk
doi: 10.1101/2021.09.28.460602
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.biorxiv.org/content/10.1101/2021.09.28.460602
month: '09'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 257A4776-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '281511'
  name: Memory-related information processing in neuronal circuits of the hippocampus
    and entorhinal cortex
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
publication: bioRxiv
publication_status: submitted
publisher: Cold Spring Harbor Laboratory
related_material:
  record:
  - id: '11932'
    relation: dissertation_contains
    status: public
status: public
title: The structure of hippocampal CA1 interactions optimizes spatial coding across
  experience
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...
---
_id: '10080'
abstract:
- lang: eng
  text: Hippocampal and neocortical neural activity is modulated by the position of
    the individual in space. While hippocampal neurons provide the basis for a spatial
    map, prefrontal cortical neurons generalize over environmental features. Whether
    these generalized representations result from a bidirectional interaction with,
    or are mainly derived from hippocampal spatial representations is not known. By
    examining simultaneously recorded hippocampal and medial prefrontal neurons, we
    observed that prefrontal spatial representations show a delayed coherence with
    hippocampal ones. We also identified subpopulations of cells in the hippocampus
    and medial prefrontal cortex that formed functional cross-area couplings; these
    resembled the optimal connections predicted by a probabilistic model of spatial
    information transfer and generalization. Moreover, cross-area couplings were strongest
    and had the shortest delay preceding spatial decision-making. Our results suggest
    that generalized spatial coding in the medial prefrontal cortex is inherited from
    spatial representations in the hippocampus, and that the routing of information
    can change dynamically with behavioral demands.
acknowledgement: We thank Federico Stella for invaluable suggestions and discussions.
  We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions
  on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for
  comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN
  IN-SENS (grant 607616).
article_processing_charge: No
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Karola
  full_name: Käfer, Karola
  id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
  last_name: Käfer
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
citation:
  ama: Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in
    the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. doi:<a
    href="https://doi.org/10.1101/2021.09.30.462269">10.1101/2021.09.30.462269</a>
  apa: Nardin, M., Käfer, K., &#38; Csicsvari, J. L. (n.d.). The generalized spatial
    representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>.
    Cold Spring Harbor Laboratory. <a href="https://doi.org/10.1101/2021.09.30.462269">https://doi.org/10.1101/2021.09.30.462269</a>
  chicago: Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized
    Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.”
    <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href="https://doi.org/10.1101/2021.09.30.462269">https://doi.org/10.1101/2021.09.30.462269</a>.
  ieee: M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation
    in the prefrontal cortex is inherited from the hippocampus,” <i>bioRxiv</i>. Cold
    Spring Harbor Laboratory.
  ista: Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in
    the prefrontal cortex is inherited from the hippocampus. bioRxiv, <a href="https://doi.org/10.1101/2021.09.30.462269">10.1101/2021.09.30.462269</a>.
  mla: Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal
    Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>, Cold Spring Harbor
    Laboratory, doi:<a href="https://doi.org/10.1101/2021.09.30.462269">10.1101/2021.09.30.462269</a>.
  short: M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.).
date_created: 2021-10-04T06:28:32Z
date_published: 2021-10-02T00:00:00Z
date_updated: 2021-10-05T12:34:26Z
day: '02'
department:
- _id: GradSch
- _id: JoCs
doi: 10.1101/2021.09.30.462269
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.biorxiv.org/content/10.1101/2021.09.30.462269
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '607616'
  name: Inter-and intracellular signalling in schizophrenia
publication: bioRxiv
publication_status: submitted
publisher: Cold Spring Harbor Laboratory
status: public
title: The generalized spatial representation in the prefrontal cortex is inherited
  from the hippocampus
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...
---
_id: '10635'
abstract:
- lang: eng
  text: The brain efficiently performs nonlinear computations through its intricate
    networks of spiking neurons, but how this is done remains elusive. While nonlinear
    computations can be implemented successfully in spiking neural networks, this
    requires supervised training and the resulting connectivity can be hard to interpret.
    In contrast, the required connectivity for any computation in the form of a linear
    dynamical system can be directly derived and understood with the spike coding
    network (SCN) framework. These networks also have biologically realistic activity
    patterns and are highly robust to cell death. Here we extend the SCN framework
    to directly implement any polynomial dynamical system, without the need for training.
    This results in networks requiring a mix of synapse types (fast, slow, and multiplicative),
    which we term multiplicative spike coding networks (mSCNs). Using mSCNs, we demonstrate
    how to directly derive the required connectivity for several nonlinear dynamical
    systems. We also show how to carry out higher-order polynomials with coupled networks
    that use only pair-wise multiplicative synapses, and provide expected numbers
    of connections for each synapse type. Overall, our work demonstrates a novel method
    for implementing nonlinear computations in spiking neural networks, while keeping
    the attractive features of standard SCNs (robustness, realistic activity patterns,
    and interpretable connectivity). Finally, we discuss the biological plausibility
    of our approach, and how the high accuracy and robustness of the approach may
    be of interest for neuromorphic computing.
acknowledgement: "A preprint version of this article has been peer-reviewed and recommended
  by Peer Community In Neuroscience (DOI link to the recommendation: https://doi.org/10.24072/pci.cneuro.100003).\r\nWe
  thank Christian Machens and Nuno Calaim for useful discussions on the project. This
  report\r\ncame out of a collaboration started at the CAJAL Advanced Neuroscience
  Training Programme in\r\nComputational Neuroscience in Lisbon, Portugal, during
  the 2019 summer. The authors would\r\nlike to thank the participants, TAs, lecturers,
  and organizers of the summer school. SWK was\r\nsupported by the Simons Collaboration
  on the Global Brain (543009). WFP was supported by\r\nFCT (032077). MN was supported
  by European Union Horizon 2020 (665385).\r\n"
article_number: e68
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: James W.
  full_name: Phillips, James W.
  last_name: Phillips
- first_name: William F.
  full_name: Podlaski, William F.
  last_name: Podlaski
- first_name: Sander W.
  full_name: Keemink, Sander W.
  last_name: Keemink
citation:
  ama: Nardin M, Phillips JW, Podlaski WF, Keemink SW. Nonlinear computations in spiking
    neural networks through multiplicative synapses. <i>Peer Community Journal</i>.
    2021;1. doi:<a href="https://doi.org/10.24072/pcjournal.69">10.24072/pcjournal.69</a>
  apa: Nardin, M., Phillips, J. W., Podlaski, W. F., &#38; Keemink, S. W. (2021).
    Nonlinear computations in spiking neural networks through multiplicative synapses.
    <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In. <a href="https://doi.org/10.24072/pcjournal.69">https://doi.org/10.24072/pcjournal.69</a>
  chicago: Nardin, Michele, James W. Phillips, William F. Podlaski, and Sander W.
    Keemink. “Nonlinear Computations in Spiking Neural Networks through Multiplicative
    Synapses.” <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In,
    2021. <a href="https://doi.org/10.24072/pcjournal.69">https://doi.org/10.24072/pcjournal.69</a>.
  ieee: M. Nardin, J. W. Phillips, W. F. Podlaski, and S. W. Keemink, “Nonlinear computations
    in spiking neural networks through multiplicative synapses,” <i>Peer Community
    Journal</i>, vol. 1. Centre Mersenne ; Peer Community In, 2021.
  ista: Nardin M, Phillips JW, Podlaski WF, Keemink SW. 2021. Nonlinear computations
    in spiking neural networks through multiplicative synapses. Peer Community Journal.
    1, e68.
  mla: Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks
    through Multiplicative Synapses.” <i>Peer Community Journal</i>, vol. 1, e68,
    Centre Mersenne ; Peer Community In, 2021, doi:<a href="https://doi.org/10.24072/pcjournal.69">10.24072/pcjournal.69</a>.
  short: M. Nardin, J.W. Phillips, W.F. Podlaski, S.W. Keemink, Peer Community Journal
    1 (2021).
date_created: 2022-01-17T11:12:40Z
date_published: 2021-12-15T00:00:00Z
date_updated: 2022-01-17T13:30:01Z
day: '15'
ddc:
- '519'
department:
- _id: GradSch
- _id: JoCs
doi: 10.24072/pcjournal.69
ec_funded: 1
external_id:
  arxiv:
  - '2009.03857'
file:
- access_level: open_access
  checksum: cd9af6b331918608f2e3d1c7940cbf4f
  content_type: application/pdf
  creator: mnardin
  date_created: 2022-01-17T11:15:26Z
  date_updated: 2022-01-17T11:15:26Z
  file_id: '10636'
  file_name: 10_24072_pcjournal_69.pdf
  file_size: 3311494
  relation: main_file
  success: 1
file_date_updated: 2022-01-17T11:15:26Z
has_accepted_license: '1'
intvolume: '         1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication: Peer Community Journal
publication_identifier:
  eissn:
  - 2804-3871
publication_status: published
publisher: Centre Mersenne ; Peer Community In
quality_controlled: '1'
status: public
title: Nonlinear computations in spiking neural networks through multiplicative synapses
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 1
year: '2021'
...
---
_id: '7472'
abstract:
- lang: eng
  text: Temporally organized reactivation of experiences during awake immobility periods
    is thought to underlie cognitive processes like planning and evaluation. While
    replay of trajectories is well established for the hippocampus, it is unclear
    whether the medial prefrontal cortex (mPFC) can reactivate sequential behavioral
    experiences in the awake state to support task execution. We simultaneously recorded
    from hippocampal and mPFC principal neurons in rats performing a mPFC-dependent
    rule-switching task on a plus maze. We found that mPFC neuronal activity encoded
    relative positions between the start and goal. During awake immobility periods,
    the mPFC replayed temporally organized sequences of these generalized positions,
    resembling entire spatial trajectories. The occurrence of mPFC trajectory replay
    positively correlated with rule-switching performance. However, hippocampal and
    mPFC trajectory replay occurred independently, indicating different functions.
    These results demonstrate that the mPFC can replay ordered activity patterns representing
    generalized locations and suggest that mPFC replay might have a role in flexible
    behavior.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank Todor Asenov and Thomas Menner from the Machine Shop for
  the drive design and production, Hugo Malagon-Vina for assistance in maze automatization,
  Jago Wallenschus for taking the images of the histology, and Federico Stella and
  Juan Felipe Ramirez-Villegas for comments on an earlier version of the manuscript.
  This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616 ).
article_processing_charge: No
article_type: original
author:
- first_name: Karola
  full_name: Käfer, Karola
  id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
  last_name: Käfer
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Karel
  full_name: Blahna, Karel
  id: 3EA859AE-F248-11E8-B48F-1D18A9856A87
  last_name: Blahna
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
citation:
  ama: Käfer K, Nardin M, Blahna K, Csicsvari JL. Replay of behavioral sequences in
    the medial prefrontal cortex during rule switching. <i>Neuron</i>. 2020;106(1):P154-165.e6.
    doi:<a href="https://doi.org/10.1016/j.neuron.2020.01.015">10.1016/j.neuron.2020.01.015</a>
  apa: Käfer, K., Nardin, M., Blahna, K., &#38; Csicsvari, J. L. (2020). Replay of
    behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>.
    Elsevier. <a href="https://doi.org/10.1016/j.neuron.2020.01.015">https://doi.org/10.1016/j.neuron.2020.01.015</a>
  chicago: Käfer, Karola, Michele Nardin, Karel Blahna, and Jozsef L Csicsvari. “Replay
    of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.”
    <i>Neuron</i>. Elsevier, 2020. <a href="https://doi.org/10.1016/j.neuron.2020.01.015">https://doi.org/10.1016/j.neuron.2020.01.015</a>.
  ieee: K. Käfer, M. Nardin, K. Blahna, and J. L. Csicsvari, “Replay of behavioral
    sequences in the medial prefrontal cortex during rule switching,” <i>Neuron</i>,
    vol. 106, no. 1. Elsevier, p. P154–165.e6, 2020.
  ista: Käfer K, Nardin M, Blahna K, Csicsvari JL. 2020. Replay of behavioral sequences
    in the medial prefrontal cortex during rule switching. Neuron. 106(1), P154–165.e6.
  mla: Käfer, Karola, et al. “Replay of Behavioral Sequences in the Medial Prefrontal
    Cortex during Rule Switching.” <i>Neuron</i>, vol. 106, no. 1, Elsevier, 2020,
    p. P154–165.e6, doi:<a href="https://doi.org/10.1016/j.neuron.2020.01.015">10.1016/j.neuron.2020.01.015</a>.
  short: K. Käfer, M. Nardin, K. Blahna, J.L. Csicsvari, Neuron 106 (2020) P154–165.e6.
date_created: 2020-02-10T15:45:48Z
date_published: 2020-04-08T00:00:00Z
date_updated: 2023-08-17T14:38:02Z
day: '08'
department:
- _id: JoCs
doi: 10.1016/j.neuron.2020.01.015
ec_funded: 1
external_id:
  isi:
  - '000525319300016'
  pmid:
  - '32032512'
intvolume: '       106'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1016/j.neuron.2020.01.015
month: '04'
oa: 1
oa_version: Published Version
page: P154-165.e6
pmid: 1
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '607616'
  name: Inter-and intracellular signalling in schizophrenia
publication: Neuron
publication_identifier:
  issn:
  - 0896-6273
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/this-brain-area-helps-us-decide/
scopus_import: '1'
status: public
title: Replay of behavioral sequences in the medial prefrontal cortex during rule
  switching
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 106
year: '2020'
...
---
_id: '6062'
abstract:
- lang: eng
  text: Open the files in Jupyter Notebook (reccomended https://www.anaconda.com/distribution/#download-section
    with Python 3.7).
article_processing_charge: No
author:
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
citation:
  ama: Nardin M. Supplementary Code and Data for the paper “The Entorhinal Cognitive
    Map is Attracted to Goals.” 2019. doi:<a href="https://doi.org/10.15479/AT:ISTA:6062">10.15479/AT:ISTA:6062</a>
  apa: Nardin, M. (2019). Supplementary Code and Data for the paper “The Entorhinal
    Cognitive Map is Attracted to Goals.” Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT:ISTA:6062">https://doi.org/10.15479/AT:ISTA:6062</a>
  chicago: Nardin, Michele. “Supplementary Code and Data for the Paper ‘The Entorhinal
    Cognitive Map Is Attracted to Goals.’” Institute of Science and Technology Austria,
    2019. <a href="https://doi.org/10.15479/AT:ISTA:6062">https://doi.org/10.15479/AT:ISTA:6062</a>.
  ieee: M. Nardin, “Supplementary Code and Data for the paper ‘The Entorhinal Cognitive
    Map is Attracted to Goals.’” Institute of Science and Technology Austria, 2019.
  ista: Nardin M. 2019. Supplementary Code and Data for the paper ‘The Entorhinal
    Cognitive Map is Attracted to Goals’, Institute of Science and Technology Austria,
    <a href="https://doi.org/10.15479/AT:ISTA:6062">10.15479/AT:ISTA:6062</a>.
  mla: Nardin, Michele. <i>Supplementary Code and Data for the Paper “The Entorhinal
    Cognitive Map Is Attracted to Goals.”</i> Institute of Science and Technology
    Austria, 2019, doi:<a href="https://doi.org/10.15479/AT:ISTA:6062">10.15479/AT:ISTA:6062</a>.
  short: M. Nardin, (2019).
date_created: 2019-03-04T14:20:58Z
date_published: 2019-03-29T00:00:00Z
date_updated: 2024-02-21T12:46:04Z
day: '29'
department:
- _id: JoCs
doi: 10.15479/AT:ISTA:6062
file:
- access_level: open_access
  checksum: 48e7b9a02939b763417733239522a236
  content_type: application/zip
  creator: mnardin
  date_created: 2019-03-05T09:29:37Z
  date_updated: 2020-07-14T12:47:18Z
  file_id: '6068'
  file_name: Online_data.zip
  file_size: 37002186
  relation: main_file
  title: Data for the paper "The Entorhinal Cognitive Map is Attracted to Goals"
file_date_updated: 2020-07-14T12:47:18Z
has_accepted_license: '1'
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '6194'
    relation: research_paper
    status: public
status: public
title: Supplementary Code and Data for the paper "The Entorhinal Cognitive Map is
  Attracted to Goals"
tmp:
  image: /images/cc_by_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
  name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
    BY-SA 4.0)
  short: CC BY-SA (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '6194'
abstract:
- lang: eng
  text: Grid cells with their rigid hexagonal firing fields are thought to provide
    an invariant metric to the hippocampal cognitive map, yet environmental geometrical
    features have recently been shown to distort the grid structure. Given that the
    hippocampal role goes beyond space, we tested the influence of nonspatial information
    on the grid organization. We trained rats to daily learn three new reward locations
    on a cheeseboard maze while recording from the medial entorhinal cortex and the
    hippocampal CA1 region. Many grid fields moved toward goal location, leading to
    long-lasting deformations of the entorhinal map. Therefore, distortions in the
    grid structure contribute to goal representation during both learning and recall,
    which demonstrates that grid cells participate in mnemonic coding and do not merely
    provide a simple metric of space.
article_processing_charge: No
article_type: original
author:
- first_name: Charlotte N.
  full_name: Boccara, Charlotte N.
  id: 3FC06552-F248-11E8-B48F-1D18A9856A87
  last_name: Boccara
  orcid: 0000-0001-7237-5109
- first_name: Michele
  full_name: Nardin, Michele
  id: 30BD0376-F248-11E8-B48F-1D18A9856A87
  last_name: Nardin
  orcid: 0000-0001-8849-6570
- first_name: Federico
  full_name: Stella, Federico
  id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
  last_name: Stella
  orcid: 0000-0001-9439-3148
- first_name: Joseph
  full_name: O'Neill, Joseph
  id: 426376DC-F248-11E8-B48F-1D18A9856A87
  last_name: O'Neill
- first_name: Jozsef L
  full_name: Csicsvari, Jozsef L
  id: 3FA14672-F248-11E8-B48F-1D18A9856A87
  last_name: Csicsvari
  orcid: 0000-0002-5193-4036
citation:
  ama: Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. The entorhinal cognitive
    map is attracted to goals. <i>Science</i>. 2019;363(6434):1443-1447. doi:<a href="https://doi.org/10.1126/science.aav4837">10.1126/science.aav4837</a>
  apa: Boccara, C. N., Nardin, M., Stella, F., O’Neill, J., &#38; Csicsvari, J. L.
    (2019). The entorhinal cognitive map is attracted to goals. <i>Science</i>. American
    Association for the Advancement of Science. <a href="https://doi.org/10.1126/science.aav4837">https://doi.org/10.1126/science.aav4837</a>
  chicago: Boccara, Charlotte N., Michele Nardin, Federico Stella, Joseph O’Neill,
    and Jozsef L Csicsvari. “The Entorhinal Cognitive Map Is Attracted to Goals.”
    <i>Science</i>. American Association for the Advancement of Science, 2019. <a
    href="https://doi.org/10.1126/science.aav4837">https://doi.org/10.1126/science.aav4837</a>.
  ieee: C. N. Boccara, M. Nardin, F. Stella, J. O’Neill, and J. L. Csicsvari, “The
    entorhinal cognitive map is attracted to goals,” <i>Science</i>, vol. 363, no.
    6434. American Association for the Advancement of Science, pp. 1443–1447, 2019.
  ista: Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. 2019. The entorhinal
    cognitive map is attracted to goals. Science. 363(6434), 1443–1447.
  mla: Boccara, Charlotte N., et al. “The Entorhinal Cognitive Map Is Attracted to
    Goals.” <i>Science</i>, vol. 363, no. 6434, American Association for the Advancement
    of Science, 2019, pp. 1443–47, doi:<a href="https://doi.org/10.1126/science.aav4837">10.1126/science.aav4837</a>.
  short: C.N. Boccara, M. Nardin, F. Stella, J. O’Neill, J.L. Csicsvari, Science 363
    (2019) 1443–1447.
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