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An analogue VLSI implementation of polychromous spiking neural networks

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4 Author(s)
Runchun Wang ; Bioelectronics and Neuroscience Research Group, University of Western Sydney, Australia ; Jonathan Tapson ; Tara Julia Hamilton ; AndrĂ© van Schaik

We present an analogue VLSI implementation of a polychronous network of spiking neurons. The network is capable of storing and retrieving spatial-temporal spike patterns. It consists of 14 leaky-integrate-and-fire neurons and corresponding axonal connections with programmable delays.

Published in:

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

Date of Conference:

6-9 Dec. 2011