A VLSI network of spiking neurons with plastic fully configurable “stop-learning” synapses

By admin on Sat, 10/22/2011 - 18:56

Publication Type:

Conference Paper

Authors:

Giulioni, Massimiliano; Camilleri, Patrick; Dante, V.; Badoni, D.; Indiveri, G.; Braun, Jochen; {Del Giudice}, Paolo

Source:

2008 15th IEEE International Conference on Electronics Circuits and Systems, Ieee, p.678–681 (2008)

ISBN:

9781424421817

URL:

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4674944

Abstract:

We describe and demonstrate a neuromorphic, analog VLSI chip (termed F-LANN) hosting 128 integrate-and-fire (IF) neurons with spike-frequency adaptation, and 16,384 plastic bistable synapses implementing a self-regulated form of Hebbian, spike-driven, stochastic plasticity. The chip is designed to offer a high degree of reconfigurability: each synapse may be individually configured at any time to be either excitatory or inhibitory and to receive either recurrent input from an on-chip neuron or AER-based input from an off-chip neuron. The initial state of each synapse can be set as potentiated or depressed, and the state of each synapse can be read and stored on a computer.

Giulioni et al. - 2008 - A VLSI network of spiking neurons with plastic fully configurable “stop-learning” synapses.pdf