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Computing Information in Neuronal Spikes

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Abstract

This paper provides new insights regarding the transfer of information between input signal and the output of neurons. Simulations of the Hodgkin-Huxley (HH) model combined with computational techniques are used to estimate this transfer of information. Our analysis shows that comparatively, mutual information (MI) between input signal and sodium flux is about two times that between input signal and output spikes during each spike within a millisecond-level time domain. This higher transfer of information provided by ionic fluxes extends the working frequency domain of neural cells beyond those accessible to information transfer within spikes alone.

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Authors and Affiliations

  1. Department of Clinical Neurological Sciences, Movement Disorders Program, London, Ontario, Canada

    Dorian Aur & Mandar S. Jog

  2. SRI International, Menlo Park, California, USA

    Christopher I. Connolly

Authors
  1. Dorian Aur
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  2. Christopher I. Connolly
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  3. Mandar S. Jog
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Correspondence to Dorian Aur.

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Aur, D., Connolly, C.I. & Jog, M.S. Computing Information in Neuronal Spikes. Neural Process Lett 23, 183–199 (2006). https://doi.org/10.1007/s11063-006-6266-3

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  • DOI: https://doi.org/10.1007/s11063-006-6266-3

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