Title :
An event-based VLSI network of integrate-and-fire neurons
Author :
Chicca, Elisabetta ; Indiveri, Giacomo ; Douglas, Rodney J.
Author_Institution :
Inst. of Informatics, Zurich Univ., Switzerland
Abstract :
The growing interest in pulse-based neural networks is encouraging the development of hardware implementations of massively parallel, distributed networks of integrate-and-fire (I&F) neurons. We have developed a mixed-mode (analog/digital) VLSI device that comprises a reconfigurable network of I&F neurons and adaptive synapses. The synapses receive input spikes and the neurons transmit output spikes (events) using an asynchronous address-event representation (AER). We describe the network architecture, present experimental data demonstrating the characteristics of the single elements on the chip, and show that a competitive network configuration has winner-take-all (WTA) behaviour and produces spike synchronization.
Keywords :
VLSI; asynchronous circuits; distributed parameter networks; mixed analogue-digital integrated circuits; network topology; neural nets; pulse shaping circuits; VLSI network; adaptive synapses; address-event representation; distributed networks; integrate-and-fire neurons; mixed-mode VLSI device; network architecture; neural networks; parallel networks; reconfigurable network; spike synchronization; winner-take-all behaviour; Circuits; Computer architecture; Computer networks; Fires; Network topology; Neural network hardware; Neural networks; Neurons; Pulse modulation; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1329536
