Abstract
This paper describes a hardware implementation of a firing neural network based on the models of Gerstner. It mainly consists of analog building blocks (neurons, synapses), but because of their digital interface and controlling it is a mixed-mode structure. The complete physical implementation of all components allows massive parallel and real time computation. The input data processing is located off-chip to enlarge the number of implementable neural networks.
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© 1997 Springer-Verlag Berlin Heidelberg
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Izak, R., Trott, K., Zahn, T., Markl, U. (1997). Hardware implementation of a mixed analog-digital neural network. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_158
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DOI: https://doi.org/10.1007/3-540-62868-1_158
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Print ISBN: 978-3-540-62868-2
Online ISBN: 978-3-540-69031-3
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