Neuronal activity in sensory cortex predicts the specificity of learning in mice

Katherine C. Wood, Christopher F. Angeloni, Karmi Oxman, Claudia Clopath and Maria N. Geffen ()
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Katherine C. Wood: University of Pennsylvania
Christopher F. Angeloni: University of Pennsylvania
Karmi Oxman: University of Pennsylvania
Claudia Clopath: Imperial College London
Maria N. Geffen: University of Pennsylvania

Nature Communications, 2022, vol. 13, issue 1, 1-15

Abstract: Abstract Learning to avoid dangerous signals while preserving normal responses to safe stimuli is essential for everyday behavior and survival. Following identical experiences, subjects exhibit fear specificity ranging from high (specializing fear to only the dangerous stimulus) to low (generalizing fear to safe stimuli), yet the neuronal basis of fear specificity remains unknown. Here, we identified the neuronal code that underlies inter-subject variability in fear specificity using longitudinal imaging of neuronal activity before and after differential fear conditioning in the auditory cortex of mice. Neuronal activity prior to, but not after learning predicted the level of specificity following fear conditioning across subjects. Stimulus representation in auditory cortex was reorganized following conditioning. However, the reorganized neuronal activity did not relate to the specificity of learning. These results present a novel neuronal code that determines individual patterns in learning.

Date: 2022
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DOI: 10.1038/s41467-022-28784-w

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