High-performance computing for systems of spiking neurons

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Abstract

We propose a bottom-up computer engineering approach to the Grand Challenge of understanding the Architecture of Brain and Mind as a viable complement to top-down modelling and alternative approaches informed by the skills and philosophies of other disciplines. Our approach starts from the observation that brains are built from spiking neurons and then progresses by looking for a systematic way to deploy spiking neurons as components from which useful information processing functions can be constructed, at all stages being informed (but not constrained) by the neural structures and microarchitectures observed by neuroscientists as playing a role in biological systems. In order to explore the behaviours of large-scale complex systems of spiking neuron components we require high-performance computing equipment, and we propose the construction of a machine specifically for this task - a massively parallel computer designed to be a universal spiking neural network simulation engine.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of AISB'06: Adaptation in Artificial and Biological Systems
Pages29-36
Number of pages8
Volume2
Publication statusPublished - 2006
EventAISB'06: Adaptation in Artificial and Biological Systems - Bristol, United Kingdom
Event duration: 3 Apr 20066 Apr 2006

Conference

ConferenceAISB'06: Adaptation in Artificial and Biological Systems
CountryUnited Kingdom
CityBristol
Period3/04/066/04/06