Representational drift in the mouse visual cortex

Daniel Deitch(Weizmann Institute of Science), Alon Rubin(Weizmann Institute of Science), Yaniv Ziv(Weizmann Institute of Science)
bioRxiv (Cold Spring Harbor Laboratory)
October 5, 2020
Cited by 24Open Access
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Abstract

Abstract Neuronal representations in the hippocampus and related structures gradually change over time despite no changes in the environment or behavior. The extent to which such ‘representational drift’ occurs in sensory cortical areas and whether the hierarchy of information flow across areas affects neural-code stability have remained elusive. Here, we address these questions by analyzing large-scale optical and electrophysiological recordings from six visual cortical areas in behaving mice that were repeatedly presented with the same natural movies. We found representational drift over timescales spanning minutes to days across multiple visual areas. The drift was driven mostly by changes in individual cells’ activity rates, while their tuning changed to a lesser extent. Despite these changes, the structure of relationships between the population activity patterns remained stable and stereotypic, allowing robust maintenance of information over time. Such population-level organization may underlie stable visual perception in the face of continuous changes in neuronal responses.


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