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Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning. | LitMetric

Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning.

Nat Commun

Department of Basic Neurosciences and the Center for Neuroscience, CMU, University of Geneva, Rue Michel Servet 1, 1211, Geneva, Switzerland.

Published: June 2020

AI Article Synopsis

  • Neurons in the primary sensory cortex adjust their activity based on learned stimuli but how stable this adaptation is in different contexts is still unclear.
  • The study tracks neuron activity in mice during texture discrimination tasks, revealing different classes of neurons based on their response to changing reward signals.
  • Most neurons show dynamic selectivity that correlates with the value of rewards, indicating that learning impacts neuron behavior even in primary sensory processing areas.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319990PMC
http://dx.doi.org/10.1038/s41467-020-17005-xDOI Listing

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