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Dynamically weighted time-delay neural networks for functional approximation

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2 Author(s)
Venkatraman, V. ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore ; Rajapakse, J.C.

The existing multilayer neural networks are not ideally suited for functional approximation of biological activities as they do not capture the time-related dynamics of biological events. We present a dynamically weighted time-delay neural network (DWTDNN) which is more suited for computations on temporal patterns from biological events. We use this network for modeling the time-series data from fMRI experiments and compare the results with those obtained using existing models of fMRI response

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Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on  (Volume:4 )

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