A selective attention multi--chip system with dynamic synapses and spiking neurons

Part of Advances in Neural Information Processing Systems 19 (NIPS 2006)

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Chiara Bartolozzi, Giacomo Indiveri


Selective attention is the strategy used by biological sensory systems to solve the problem of limited parallel processing capacity: salient subregions of the input stimuli are serially processed, while nonsalient regions are suppressed. We present an mixed mode analog/digital Very Large Scale Integration implementation of a building block for a multichip neuromorphic hardware model of selective attention. We describe the chip's architecture and its behavior, when its is part of a multichip system with a spiking retina as input, and show how it can be used to implement in real-time flexible models of bottom-up attention.