Data‐driven integration of hippocampal CA1 synaptic physiology in silico
The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied in recent decades. Yet, the resulting knowledge remains disparate and difficult to reconcile. Here, we present a data‐driven approach to integrate the current state‐of‐the‐art knowledge on...
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Published in | Hippocampus Vol. 30; no. 11; pp. 1129 - 1145 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.11.2020
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied in recent decades. Yet, the resulting knowledge remains disparate and difficult to reconcile. Here, we present a data‐driven approach to integrate the current state‐of‐the‐art knowledge on the synaptic anatomy and physiology of rodent hippocampal CA1, including axo‐dendritic innervation patterns, number of synapses per connection, quantal conductances, neurotransmitter release probability, and short‐term plasticity into a single coherent resource. First, we undertook an extensive literature review of paired recordings of hippocampal neurons and compiled experimental data on their synaptic anatomy and physiology. The data collected in this manner is sparse and inhomogeneous due to the diversity of experimental techniques used by different groups, which necessitates the need for an integrative framework to unify these data. To this end, we extended a previously developed workflow for the neocortex to constrain a unifying in silico reconstruction of the synaptic physiology of CA1 connections. Our work identifies gaps in the existing knowledge and provides a complementary resource toward a more complete quantification of synaptic anatomy and physiology in the rodent hippocampal CA1 region. |
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Bibliography: | Funding information École Polytechnique Fédérale de Lausanne; ETH Board Funding; European Union Seventh Framework Program, Grant/Award Numbers: 604102, FP7/2007‐2013; European Union's Horizon 2020 Framework Programme for Research and Innovation, Grant/Award Numbers: 785907, 720270; ÚNKP‐19‐3‐III New National Excellence Program; European Social Fund, Grant/Award Number: EFOP‐3.6.3‐VEKOP‐16‐2017‐00002 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Funding information École Polytechnique Fédérale de Lausanne; ETH Board Funding; European Union Seventh Framework Program, Grant/Award Numbers: 604102, FP7/2007‐2013; European Union's Horizon 2020 Framework Programme for Research and Innovation, Grant/Award Numbers: 785907, 720270; ÚNKP‐19‐3‐III New National Excellence Program; European Social Fund, Grant/Award Number: EFOP‐3.6.3‐VEKOP‐16‐2017‐00002 |
ISSN: | 1050-9631 1098-1063 |
DOI: | 10.1002/hipo.23220 |