Data from: A model for non-monotonic intensity coding

Johannes Nehrkorn, Hiromu Tanimoto, Andreas V. M. Herz & Ayse Yarali
Peripheral neurons of most sensory systems increase their response with increasing stimulus intensity. Behavioural responses, however, can be specific to some intermediate intensity level whose particular value might be innate or associatively learned. Learning such a preference requires an adjustable trans- formation from a monotonic stimulus representation at the sensory periphery to a non-monotonic representation for the motor command. How do neural systems accomplish this task? We tackle this general question focusing on odour-intensity learning...

Registration Year

  • 2015
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Resource Types

  • Dataset
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Affiliations

  • Tohoku University
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  • Leibniz Institute for Neurobiology
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  • Ludwig Maximilian University of Munich
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