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Contribution of behavioural variability to representational drift.

Sadra Sadeh1, Claudia Clopath1

  • 1Department of Bioengineering, Imperial College London, London, United Kingdom.

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|August 30, 2022
PubMed
Summary
This summary is machine-generated.

Behavioral variability, not just external stimuli, causes dynamic changes in neural representations across the mouse brain. This modulation can be mistaken for representational drift if behavior is not considered.

Keywords:
arousalbehavioural statebehavioural variabilitycomputational biologymouseneurosciencepupillometryrepresentational driftrunningsystems biologyvisual processing

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Neuronal responses change dynamically, challenging the stability of neural coding.
  • Representational drift in sensory cortices is typically linked to external stimuli.
  • Animal's behavioral state, like arousal, significantly modulates neural activity.

Purpose of the Study:

  • Investigate how behavioral variability contributes to changes in neural representations.
  • Determine if behavioral modulation explains apparent representational drift.

Main Methods:

  • Analyzed large-scale neural recordings from the Allen Brain Observatory.
  • Examined neural activity across various cortical and hippocampal areas in mice.
  • Employed computational modeling to interpret findings.

Main Results:

  • Behavioral variability significantly drives representational changes across multiple brain regions.
  • This effect is observed in visual cortex, higher visual areas, and hippocampus.
  • Computational models support independent behavioral modulation over slower timescales.

Conclusions:

  • Behavioral state is a critical factor in neural representational dynamics.
  • Variability in behavioral modulation can be misinterpreted as representational drift.
  • Accounting for behavioral parameters is essential for accurate characterization of neural representations.