title: A neuronal network for the logic of Limax learning.
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.
authors.affiliation: Ohio State University, Ohio, USA.
authors.forename: Pranay
authors.initials: P
authors.lastname: Goel
authors.forename: Alan
authors.initials: A
authors.lastname: Gelperin
mesh_terms: D000200:Action Potentials; D000818:Animals; D001522:Behavior, Animal; D003198:Computer Simulation; D003214:Conditioning, Classical; D007858:Learning / Q000502:physiology*; D008128:Logic; D008974:Mollusca / Q000502:physiology*; D016571:Neural Networks, Computer