A Selective Attention Multi--Chip System with Dynamic Synapses and Spiking Neurons
Abstract
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.
Cite
Text
Bartolozzi and Indiveri. "A Selective Attention Multi--Chip System with Dynamic Synapses and Spiking Neurons." Neural Information Processing Systems, 2006.Markdown
[Bartolozzi and Indiveri. "A Selective Attention Multi--Chip System with Dynamic Synapses and Spiking Neurons." Neural Information Processing Systems, 2006.](https://mlanthology.org/neurips/2006/bartolozzi2006neurips-selective/)BibTeX
@inproceedings{bartolozzi2006neurips-selective,
title = {{A Selective Attention Multi--Chip System with Dynamic Synapses and Spiking Neurons}},
author = {Bartolozzi, Chiara and Indiveri, Giacomo},
booktitle = {Neural Information Processing Systems},
year = {2006},
pages = {113-120},
url = {https://mlanthology.org/neurips/2006/bartolozzi2006neurips-selective/}
}