ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16, 2004. EDITORS THRUN, S., SAUL, L., AND SCHÖLKOPF, B. MIT PRESS, CAMBRIDGE MA.
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
SHI, R. Z., HORIUCHI, T.
Synapses are a critical element of biologically-realistic, spike-based neural computation, serving the role of communication, computation, and modification. Many different circuit implementations of synapse function exist with different computational goals in mind. In this paper we describe a new CMOS synapse design that separately controls quiescent leak current, synaptic gain, and time-constant of decay. This circuit implements part of a commonly-used kinetic model of synaptic conductance. We show a theoretical analysis and experimental data for prototypes fabricated in a commercially-available 1.5µm CMOS process.
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