Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints.
Biosystems
; 136: 3-10, 2015 Oct.
Article
em En
| MEDLINE
| ID: mdl-26141378
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Temas:
ECOS
/
Financiamentos_gastos
Bases de dados:
MEDLINE
Assunto principal:
Potenciais de Ação
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Armazenamento e Recuperação da Informação
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Metabolismo Energético
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Canais Iônicos
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Modelos Neurológicos
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Neurônios
Tipo de estudo:
Health_economic_evaluation
Limite:
Animals
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Humans
Idioma:
En
Revista:
Biosystems
Ano de publicação:
2015
Tipo de documento:
Article