title: Associative memory model with temporal spike coding and active dendrite.
abstract: We propose a neuron model whose internal state is integrated on a two dimensional phase space composed of time and dendritic space. Here, the postsynaptic potential is given as a curved surface on the phase space. Using the proposed neuron model, we introduce a continuous-time associative memory model with spike propagation delay and multiple synaptic sites on the dendrite. We show by numerical simulation that the memory capacity is doubled due to the effects of temporal spike coding and active dendrite compared to the sparse coding associative memory model.
authors.affiliation: Department of Quantum Engineering and Systems Science, Graduate School of Engineering, The University of Tokyo, Japan. watanabe@sk.q.t.u-tokyo.ac.jp
authors.forename: M
authors.initials: M
authors.lastname: Watanabe
authors.forename: Y
authors.initials: Y
authors.lastname: Takahashi
authors.forename: K
authors.initials: K
authors.lastname: Aihara
mesh_terms: D000200:Action Potentials; D003712:Dendrites / Q000502:physiology*; D008568:Memory; D008959:Models, Neurological