title: Neural circuitry for recognizing interspike interval sequences.
abstract: Sensory systems present environmental information to central nervous system as sequences of action potentials or spikes. How do animals recognize these sequences carrying information about their world? We present a biologically inspired neural circuit designed to enable spike pattern recognition. This circuit is capable of training itself on a given interspike interval (ISI) sequence and is then able to respond to presentations of the same sequence. The essential ingredients of the recognition circuit are (a) a tunable time delay circuit, (b) a spike selection unit, and (c) a tuning mechanism using spike timing dependent plasticity of inhibitory synapses. We have investigated this circuit using Hodgkin-Huxley neuron models connected by realistic excitatory and inhibitory synapses. It is robust in the presence of noise represented as jitter in the spike times of the ISI sequence.
authors.affiliation: Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography), University of California-San Diego, La Jolla, CA 92093-0402, USA. hdia@jacobi.ucsd.edu
authors.forename: Henry D I
authors.initials: HD
authors.lastname: Abarbanel
authors.forename: Sachin S
authors.initials: SS
authors.lastname: Talathi
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D002490:Central Nervous System / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology*