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Silicon implementation of the generalized integrate-and-fire neuron model

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2 Author(s)
Hamilton, T.J. ; Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia ; van Schaik, A.

In this paper we present the design, implementation and preliminary results from a silicon neuron (SiN) based on the generalized integrate-and-fire neuron model. The SiN is integrated onto a chip with a number of similar SiNs. In this paper we show the results from a single neuron, however, in the future it is our aim to show that real-time, low-power and highly configurable spiking neural networks are feasible on silicon chips.

Published in:

Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on

Date of Conference:

6-9 Dec. 2011