Paper
5 November 1993 Use of Feynman diagrams in large-scale neural networks with nonlinear behavior
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Abstract
A new proposal to the study of large-scale neural networks is reported. It is based on the use of similar graphs to the Feynman diagrams. A first general theory is presented and some interpretations are given. A propagator, based on the Green's function of the neuron, is the basis of the method. Application to a simple case is reported.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose Antonio Martin-Pereda and Ana P. Gonzalez-Marcos "Use of Feynman diagrams in large-scale neural networks with nonlinear behavior", Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); https://doi.org/10.1117/12.162708
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Cited by 1 scholarly publication.
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KEYWORDS
Neurons

Biology

Chaos

Medicine

Wave propagation

Neural networks

Fourier transforms

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