Analogue VLSI for probabilistic networks and spike-time computation.
The history and some of the methods of analogue neural VLSI are described. The strengths of analogue techniques are described, along with residual problems to be solved. The nature of hardware-friendly and hardware-appropriate algorithms is reviewed and suggestions are offered as to where analogue neural VLSI's future lies.
Murray
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Dept. of Electronics and Electrical Engineering, University of Edinburgh, UK. A.F.Murray@ee.ed.ac.uk
D000465:Algorithms; D003202:Computers, Analog; D016571:Neural Networks, Computer