Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning

Ronan Chéreau, Tanika Bawa, Leon Fodoulian, Alan Carleton, Stéphane Pagès and Anthony Holtmaat ()
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Ronan Chéreau: University of Geneva
Tanika Bawa: University of Geneva
Leon Fodoulian: University of Geneva
Alan Carleton: University of Geneva
Stéphane Pagès: University of Geneva
Anthony Holtmaat: University of Geneva

Nature Communications, 2020, vol. 11, issue 1, 1-14

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-17005-x

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