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A neuronal network for the logic of Limax learning

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Abstract

We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particular, how blocking to a previously conditioned stimulus in the presence of the unconditional stimulus, can emerge as a dynamical property of the network. We also propose experiments to test the new model.

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Authors and Affiliations

  1. Ohio State University, Ohio

    Pranay Goel & Alan Gelperin

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  1. Pranay Goel
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  2. Alan Gelperin
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Action Editor: G. Bard Ermentrout

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Goel, P., Gelperin, A. A neuronal network for the logic of Limax learning. J Comput Neurosci 21, 259–270 (2006). https://doi.org/10.1007/s10827-006-8097-7

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  • DOI: https://doi.org/10.1007/s10827-006-8097-7

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