A VLSI Spike-Driven Dynamic Synapse which Learns only when Necessary

Mitra, S., Fusi, S. and Indiveri, G. (2006) A VLSI Spike-Driven Dynamic Synapse which Learns only when Necessary. In: IEEE International Symposium on Circuits and Systems (ISCAS 2006), Kos, Greece, 21-24 May 2006, pp. 2777-2780. ISBN 0780393899 (doi: 10.1109/ISCAS.2006.1693200)

Abstract

We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is highly effective in learning to classify complex stimuli in semi-supervised fashion. The circuits presented are designed in sub-threshold CMOS consuming extremely low power. The pulse-based neural network communicates with the outside world using the address event representation in an asynchronous fashion. We present measurements from a test chip, characterizing all the modules of the circuit and show how they match well with theoretical expectations. We finally demonstrate that the learning mechanism of the synapse is fully functional by stimulating it with Poisson distributed spike trains.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Mitra, Dr Srinjoy
• Authors: Mitra, S., Fusi, S., and Indiveri, G.
• College/School: College of Science and Engineering > School of Engineering
• ISBN: 0780393899

Related URLs

• Organisation