Implementing Neural Models in Silicon
作者： Leslie S. Smith
关键词: Computer architecture 、 Simulation software 、 Interfacing 、 Software 、 Neural system 、 Emulation 、 Integrated circuit 、 Computer science 、 Computational neuroscience 、 Pattern recognition (psychology)
摘要: Neural models are used in both computational neuroscience and pattern recognition. The aim of the first is understanding real neural systems, second gaining better, possibly brainlike performance for systems being built. In cases, highly parallel nature system contrasts with sequential computer resulting slow complex simulation software. More direct implementation hardware (whether digital or analogue) holds out promise faster emulation because inherently than software operation much more parallel. There costs to this: modifying (for example, test variants system) harder when a full application-specific integrated circuit has been Fast can permit incorporation model into system, permitting real-time input output. Appropriate selection technology help make simplify interfacing external devices. We review technologies involved discuss some example systems.
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