Neural Circuitry for Recognizing Interspike Interval Sequences
Institute for Nonlinear Science
University of California San Diego
Last modified: March 8, 2006
Sensory systems present environmental information to a 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. The time delay circuit can be tuned easily to produce delays on the order of 10 ms to 100 ms. It is robust in the presence of noise represented as jitter in the spike times of the ISI sequence.