Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3.

Autor:	Ecker A; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary., Bagi B; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary., Vértes E; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary., Steinbach-Németh O; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary., Karlócai MR; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary., Papp OI; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary., Miklós I; Alfréd Rényi Institute of Mathematics, Eötvös Loránd Research Network, Budapest, Hungary.; Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary., Hájos N; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary., Freund TF; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary., Gulyás AI; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary., Káli S; Institute of Experimental Medicine, Eötvös Loránd Research Network, Budapest, Hungary.; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2022 Jan 18; Vol. 11. Date of Electronic Publication: 2022 Jan 18.
DOI:	10.7554/eLife.71850
Abstrakt:	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 Interests: AE, BB, EV, OS, MK, OP, IM, NH, TF, AG, SK No competing interests declared (© 2022, Ecker et al.)
Databáze:	MEDLINE
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