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An emergent neural coactivity code for dynamic memory
Author(s) -
Mohamady El-Gaby,
Hayley M. Reeve,
Vítor LopesdosSantos,
Natalia Campo-Urriza,
Pavel V. Perestenko,
Alexander Morley,
Lauren Strickland,
Istvan P. Lukacs,
Ole Paulsen,
David Dupret
Publication year - 2021
Publication title -
nature neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 13.403
H-Index - 422
eISSN - 1546-1726
pISSN - 1097-6256
DOI - 10.1038/s41593-021-00820-w
Subject(s) - optogenetics , neuroscience , encoding (memory) , hippocampal formation , hippocampus , millisecond , computer science , neuron , psychology , physics , astronomy
Neural correlates of external variables provide potential internal codes that guide an animal's behavior. Notably, first-order features of neural activity, such as single-neuron firing rates, have been implicated in encoding information. However, the extent to which higher-order features, such as multineuron coactivity, play primary roles in encoding information or secondary roles in supporting single-neuron codes remains unclear. Here, we show that millisecond-timescale coactivity among hippocampal CA1 neurons discriminates distinct, short-lived behavioral contingencies. This contingency discrimination was unrelated to the tuning of individual neurons, but was instead an emergent property of their coactivity. Contingency-discriminating patterns were reactivated offline after learning, and their reinstatement predicted trial-by-trial memory performance. Moreover, optogenetic suppression of inputs from the upstream CA3 region during learning impaired coactivity-based contingency information in the CA1 and subsequent dynamic memory retrieval. These findings identify millisecond-timescale coactivity as a primary feature of neural firing that encodes behaviorally relevant variables and supports memory retrieval.

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