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Sensorimotor strategies and neuronal representations for shape discrimination. | LitMetric

Sensorimotor strategies and neuronal representations for shape discrimination.

Neuron

Department of Neuroscience, Columbia University, New York, NY 10027, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10027, USA. Electronic address:

Published: July 2021

AI Article Synopsis

  • Humans and animals use active touch to identify objects, which involves coordinating movement and sensory feedback based on their goals.
  • * Researchers created a task for mice to distinguish between concave and convex shapes, finding that behavior varied based on whether the task was shape discrimination or detection.
  • * Recordings from the barrel cortex revealed that neurons encoded information differently depending on the task, emphasizing the importance of relevant whiskers during shape discrimination, suggesting sensory processing is tailored to specific behavioral needs.

Article Abstract

Humans and other animals can identify objects by active touch, requiring the coordination of exploratory motion and tactile sensation. Both the motor strategies and neural representations employed could depend on the subject's goals. We developed a shape discrimination task that challenged head-fixed mice to discriminate concave from convex shapes. Behavioral decoding revealed that mice did this by comparing contacts across whiskers. In contrast, a separate group of mice performing a shape detection task simply summed up contacts over whiskers. We recorded populations of neurons in the barrel cortex, which processes whisker input, and found that individual neurons across the cortical layers encoded touch, whisker motion, and task-related signals. Sensory representations were task-specific: during shape discrimination, but not detection, neurons responded most to behaviorally relevant whiskers, overriding somatotopy. Thus, sensory cortex employs task-specific representations compatible with behaviorally relevant computations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298290PMC
http://dx.doi.org/10.1016/j.neuron.2021.05.019DOI Listing

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