On the properties of input-to-output transformations in neuronal networks
Information processing in neuronal networks in certain important cases can be considered as maps of binary vectors, where ones (spikes) and zeros (no spikes) of input neurons are transformed into spikes and no spikes of output neurons. A simple but fundamental characteristic of such a map is how it...
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Main Authors: | Andrey Olypher, Jean Vaillant |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2015-12-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2016009 |
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