Pulse-coupled neural network as a computer

John L. Johnson

doi:10.1117/12.258118

11 November 1996 Pulse-coupled neural network as a computer

John L. Johnson

Proceedings Volume 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments; (1996) https://doi.org/10.1117/12.258118
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

The biological neuronal model is a n electrically polarized membrane capacitor with numerous ionic channels for synaptic inputs and leakage currents. It is generally a complex system whose geometrical, electronic, and chemical substructures synergistically determine its temporal dynamics in response to its input distributions. The integrate-and-fire pulse generator resets a local internal voltage activity, which in turn interacts with the other voltage distributions in the dendrites. A recent closed-form solution to a compartmental neuronal model shows that it is a fully chaotic system with algorithmic properties that provide a new approach to object-oriented data processing.

Citation Download Citation

John L. Johnson "Pulse-coupled neural network as a computer", Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); https://doi.org/10.1117/12.258118

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