Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3
| Title: | Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3 |
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| Authors: | András Ecker, Bence Bagi, Eszter Vértes, Orsolya Steinbach-Németh, Mária R Karlócai, Orsolya I Papp, István Miklós, Norbert Hájos, Tamás F Freund, Attila I Gulyás, Szabolcs Káli |
| Source: | eLife, Vol 11 (2022) |
| Publisher Information: | eLife Sciences Publications Ltd, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Medicine LCC:Science LCC:Biology (General) |
| Subject Terms: | hippocampus, place cell, sequence replay, spike-timing-dependent plasticity, computational modeling, Medicine, Science, Biology (General), QH301-705.5 |
| More Details: | Hippocampal place cells are activated sequentially as an animal explores its environment. These activity sequences are internally recreated (‘replayed’), either in the same or reversed order, during bursts of activity (sharp wave-ripples [SWRs]) that occur in sleep and awake rest. SWR-associated replay is thought to be critical for the creation and maintenance of long-term memory. In order to identify the cellular and network mechanisms of SWRs and replay, we constructed and simulated a data-driven model of area CA3 of the hippocampus. Our results show that the chain-like structure of recurrent excitatory interactions established during learning not only determines the content of replay, but is essential for the generation of the SWRs as well. We find that bidirectional replay requires the interplay of the experimentally confirmed, temporally symmetric plasticity rule, and cellular adaptation. Our model provides a unifying framework for diverse phenomena involving hippocampal plasticity, representations, and dynamics, and suggests that the structured neural codes induced by learning may have greater influence over cortical network states than previously appreciated. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2050-084X |
| Relation: | https://elifesciences.org/articles/71850; https://doaj.org/toc/2050-084X |
| DOI: | 10.7554/eLife.71850 |
| Access URL: | https://doaj.org/article/54322577fe0245a79e888d2d72213fc5 |
| Accession Number: | edsdoj.54322577fe0245a79e888d2d72213fc5 |
| Database: | Directory of Open Access Journals |
| ISSN: | 2050084X |
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| DOI: | 10.7554/eLife.71850 |
| Published in: | eLife |
| Language: | English |