A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs

This paper address the issue of nonlinear model estimation for neural systems with arbitrary point-process inputs using a novel network that is composed of a pre-processing stage of a Laguerre filter bank followed by a single hidden layer with polynomial activation functions. The nonlinear modeling...

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Veröffentlicht in:Neural networks 2000-03, Vol.13 (2), p.255-266
Hauptverfasser: Alataris, Konstantinos, Berger, TheodoreW, Marmarelis, VasilisZ
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Sprache:eng
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