University of Delaware Neuromorphic Systems Laboratory

An Analog Memory Circuit for Spiking Silicon Neurons

John G. Elias, David P. M. Northmore and Wayne Westerman
University of Delaware
Newark, DE. 19716

ABSTRACT

A simple circuit is described that functions as an analog memory whose state and dynamics are directly controlled by pulsatile inputs. The circuit has been incorporated into a silicon neuron with a spatially extensive dendritic tree as a means of controlling the spike firing threshold of an integrate-and-fire soma. Spiking activity gener ated by the neuron itself and by other units in a network can thereby regulate the neuron's excitability over time periods ranging from milliseconds to many minutes. Experimental results are presented showing applications to temporal edge sharpening, bi-stable behavior, and a network that learns in the manner of classical conditioning.

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