RT Journal Article
SR Electronic
T1 Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.02.18.431868
DO 10.1101/2021.02.18.431868
A1 András Ecker
A1 Bence Bagi
A1 Eszter Vértes
A1 Orsolya Steinbach-Németh
A1 Mária R. Karlócai
A1 Orsolya I. Papp
A1 István Miklós
A1 Norbert Hájos
A1 Tamás F. Freund
A1 Attila I. Gulyás
A1 Szabolcs Káli
YR 2021
UL http://biorxiv.org/content/early/2021/07/05/2021.02.18.431868.abstract
AB 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.Competing Interest StatementThe authors have declared no competing interest.