Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex

Jasper Poort, Adil G. Khan, Marius Pachitariu, Abdellatif Nemri, Ivana Orsolic, Julija Krupic, Marius Bauza, Maneesh Sahani, Georg B. Keller, Thomas D. Mrsic-Flogel, Sonja B. Hofer*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

244 Citations (Scopus)
94 Downloads (Pure)

Abstract

We determined how learning modifies neural representations in primary visual cortex (V1) during acquisition of a visually guided behavioral task. We imaged the activity of the same layer 2/3 neuronal populations as mice learned to discriminate two visual patterns while running through a virtual corridor, where one pattern was rewarded. Improvements in behavioral performance were closely associated with increasingly distinguishable population-level representations of task-relevant stimuli, as a result of stabilization of existing and recruitment of new neurons selective for these stimuli. These effects correlated with the appearance of multiple task-dependent signals during learning: those that increased neuronal selectivity across the population when expert animals engaged in the task, and those reflecting anticipation or behavioral choices specifically in neuronal subsets preferring the rewarded stimulus. Therefore, learning engages diverse mechanisms that modify sensory and non-sensory representations in V1 to adjust its processing to task requirements and the behavioral relevance of visual stimuli. By tracking the same visual cortex neurons across days, Poort et al. demonstrate how learning a visual task leads to increasingly distinguishable representations of relevant stimuli. These changes parallel the emergence of diverse non-sensory signals in specific neuronal subsets.

Original languageEnglish
Pages (from-to)1478-1490
JournalNeuron
Volume86
Issue number6
Early online date4 Jun 2015
DOIs
Publication statusPublished - 17 Jun 2015

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