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Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning

Author

Listed:
  • Ronan Chéreau

    (University of Geneva)

  • Tanika Bawa

    (University of Geneva
    University of Geneva)

  • Leon Fodoulian

    (University of Geneva
    University of Geneva)

  • Alan Carleton

    (University of Geneva)

  • Stéphane Pagès

    (University of Geneva)

  • Anthony Holtmaat

    (University of Geneva)

Abstract

Neurons in primary sensory cortex encode a variety of stimulus features upon perceptual learning. However, it is unclear whether the acquired stimulus selectivity remains stable when the same input is perceived in a different context. Here, we monitor the activity of individual neurons in the mouse primary somatosensory cortex during reward-based texture discrimination. We track their stimulus selectivity before and after changing reward contingencies, which allows us to identify various classes of neurons. We find neurons that stably represented a texture or the upcoming behavioral choice, but the majority is dynamic. Among those, a subpopulation of neurons regains texture selectivity contingent on the associated reward value. These value-sensitive neurons forecast the onset of learning by displaying a distinct and transient increase in activity, depending on past behavioral experience. Thus, stimulus selectivity of excitatory neurons during perceptual learning is dynamic and largely relies on behavioral contingencies, even in primary sensory cortex.

Suggested Citation

  • Ronan Chéreau & Tanika Bawa & Leon Fodoulian & Alan Carleton & Stéphane Pagès & Anthony Holtmaat, 2020. "Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17005-x
    DOI: 10.1038/s41467-020-17005-x
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