Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints
Language English Country Ireland Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26141378
DOI
10.1016/j.biosystems.2015.06.008
PII: S0303-2647(15)00091-X
Knihovny.cz E-resources
- Keywords
- Information transfer, Neuronal coding, Optimal decoding,
- MeSH
- Adenosine Triphosphate metabolism MeSH
- Action Potentials physiology MeSH
- Energy Metabolism physiology MeSH
- Ion Channel Gating physiology MeSH
- Ion Channels physiology MeSH
- Humans MeSH
- Membrane Potentials physiology MeSH
- Models, Neurological * MeSH
- Synaptic Transmission physiology MeSH
- Neurons physiology MeSH
- Computer Simulation MeSH
- Information Storage and Retrieval methods MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Adenosine Triphosphate MeSH
- Ion Channels 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
References provided by Crossref.org
Shared input and recurrency in neural networks for metabolically efficient information transmission
The effect of inhibition on rate code efficiency indicators
