Neural Circuitry for Recognizing Interspike Interval Sequences

Henry D. I. Abarbanel and Sachin S. Talathi

Phys. Rev. Lett. 96, 148104 – Published 13 April 2006

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.

Received 4 October 2005

DOI:https://doi.org/10.1103/PhysRevLett.96.148104

Authors & Affiliations

Henry D. I. Abarbanel^1,* and Sachin S. Talathi^2,†

¹Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography), University of California, San Diego, La Jolla, California 92093-0402, USA
²Department of Physics and Institute for Nonlinear Science, University of California, San Diego, La Jolla, California 92093-0402, USA

^*Electronic address: hdia@jacobi.ucsd.edu
^†Electronic address: talathi@physics.ucsd.edu

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Vol. 96, Iss. 14 — 14 April 2006

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