Abstract
We wish to understand the neuronal computations performed on sensory inputs that result in the categorization of those inputs, their storage as memory states, and their associative combination. Our experimental and theoretical work is focused on the neuronal computations performed on odor and taste inputs in the CNS of Limax maximus, a terrestrial mollusk convenient for behavioral, neuro-physiological, and neurochemical experiments (Gelperin, 1983). The questions posed in this specific system are designed to illuminate issues of learning and memory storage with panphyletic generality.
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Gelperin, A., Hopfield, J.J., Tank, D.W. (1985). The Logic of Limax Learning. In: Selverston, A.I. (eds) Model Neural Networks and Behavior. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5858-0_13
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DOI: https://doi.org/10.1007/978-1-4757-5858-0_13
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