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Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints
L. Kostal, R. Kobayashi,
Jazyk angličtina Země Irsko
Typ dokumentu časopisecké články, práce podpořená grantem
- MeSH
- adenosintrifosfát metabolismus MeSH
- akční potenciály fyziologie MeSH
- energetický metabolismus fyziologie MeSH
- gating iontového kanálu fyziologie MeSH
- iontové kanály fyziologie MeSH
- lidé MeSH
- membránové potenciály fyziologie MeSH
- modely neurologické * MeSH
- nervový přenos fyziologie MeSH
- neurony fyziologie MeSH
- počítačová simulace MeSH
- ukládání a vyhledávání informací metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Information theory quantifies the ultimate limits on reliable information transfer by means of the channel capacity. However, the channel capacity is known to be an asymptotic quantity, assuming unlimited metabolic cost and computational power. We investigate a single-compartment Hodgkin-Huxley type neuronal model under the spike-rate coding scheme and address how the metabolic cost and the decoding complexity affects the optimal information transmission. We find that the sub-threshold stimulation regime, although attaining the smallest capacity, allows for the most efficient balance between the information transmission and the metabolic cost. Furthermore, we determine post-synaptic firing rate histograms that are optimal from the information-theoretic point of view, which enables the comparison of our results with experimental data.
Institute of Physiology of the Czech Academy of Sciences Videnska 1083 14220 Prague 4 Czech Republic
Citace poskytuje Crossref.org
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