TY  - BOOK
AB  - 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.
DA  - 2004
DO  - 10.1109/ISCAS.2004.1329536
KW  - distributed parameter networks
KW  - pulse shaping circuits
KW  - asynchronous circuits
KW  - VLSI
KW  - mixed analogue-digital integrated circuits
KW  - neural nets
KW  - network topology
LA  - eng
PY  - 2004
SE  - V­-357
SN  - 078038251X
TI  - An event-based VLSI network of integrate-and-fire neurons
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-24276906
Y2  - 2024-11-21T21:47:46
ER  -