Models of neural computation: Difference between revisions

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===Conductance-based silicon neurons===
Nervous systems differ from the majority of silicon-based computing devices in that they are [[analog computer|analog]], not [[Digital data|digital]], and massively [[parallel computing|parallel]], not [[von Neumann architecture|sequential]]. To model nervous systems accurately, in real-time, alternative hardware is required.
 
The most realistic circuits to date make use of analog properties of existing digital electronics (operated under non-standard conditions) to realize Hodgkin–Huxley-type models ''in silico''<ref>L. Alvadoa, J. Tomasa, S. Saghia, S. Renauda, T. Balb, A. Destexheb, G. Le Masson, 2004. Hardware computation of conductance-based neuron models. Neurocomputing 58–60 (2004) 109 – 115</ref>[http://www.scholarpedia.org/article/Silicon_neurons].