The Hi-noon neural simulator and its applications

作者: R.I. Damper , R.L.B. French , T.W. Scutt

DOI: 10.1016/S0026-2714(01)00097-X

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摘要: Abstract This paper describes the Hi- noon (hierarchical network of object-oriented neurons) neural simulator, originally conceived as a general-purpose, computationally efficient, software system for simulation small systems biological neurons, an aid to study links between neurophysiology and behaviour in lower animals. As such, artificial neurons employed were spiking nature; effect appropriate compromise computational complexity realism, modelling was at transmembrane potential level abstraction. Further, since real incorporate different types specialised somewhat functions, written accommodate non-homogeneous population neurons. The efficiency makes it eminently suitable situated studies (biological robotics, animats) where real-time operation is pre-requisite. flexibility which central design goal means that also capable interconnections non-spiking with continuous or piecewise linear activation functions. efficacy simulator illustrated respect some recent applications studies. We consider prospects integrating conventional circuit future.

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