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Representational drift in the mouse visual cortex.

Daniel Deitch1, Alon Rubin1, Yaniv Ziv1

  • 1Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.

Current Biology : CB
|August 25, 2021
PubMed
Summary
This summary is machine-generated.

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Neuronal representations in the visual cortex drift over time, even when stimuli are constant. This representational drift occurs across multiple brain areas, challenging previous assumptions about stable sensory encoding.

Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Neuronal representations are thought to be stable in early sensory cortices but drift in higher brain areas.
  • Representational drift, the gradual change in neural responses over time, has been observed in high-level brain structures.
  • The stability of neural codes in sensory cortices over time remains largely unexplored.

Purpose of the Study:

  • To investigate the presence and extent of representational drift in multiple visual cortical areas.
  • To determine if representational drift is confined to high-level brain structures or also present in early sensory areas.
  • To examine the relationship between neural code stability and the hierarchical organization of the visual cortex.

Main Methods:

Keywords:
calcium imagingmanifoldneuropixelsrepresentational drifttuning curvevisual cortex

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  • Analysis of large-scale optical and electrophysiological recordings from six mouse visual cortical areas.
  • Repeated presentation of identical natural movies to behaving mice.
  • Examination of neural activity across different cortical layers and cell types.
  • Main Results:

    • Representational drift was observed across multiple visual cortical areas, including early sensory areas.
    • Drift occurred over timescales ranging from minutes to days.
    • Neural code stability did not correlate with the hierarchical flow of information across visual areas.
    • Individual neuron responses changed over time, but population activity patterns remained stable and stereotypic.

    Conclusions:

    • Representational drift is a widespread phenomenon in the visual cortex, not limited to high-level areas.
    • Population-level neural organization may maintain stable visual perception despite individual neuronal response changes.
    • The stability of neural representations is more complex than previously assumed, challenging hierarchical models.