Elements of information theory
Elements of information theory
Neural Computation
Neuro-electrophysiological Argument on Energy Coding
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Intersymbol interference in axonal transmission
Neurocomputing
A new mechanism on brain information processing—energy coding
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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We investigate the energy efficiency of interspike interval (ISI) neural codes. Using the hypothesis that nature maximizes the energy efficiency of information processing, it is possible to derive neuronal firing frequencies which maximize the information/energy ratio. With simple assumptions about the encoded ISI and noise distributions, we show that ISI codes can be at least as efficient as discrete binary and frequency codes and that their predicted optimal frequencies are in the same range.