the neuronal response at extended timescales: long-term correlations without long-term memory

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ID: 166829
2014
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Abstract
Long term temporal correlations frequently appear at many levels of neural activity. We show that when such correlations appear in isolated neurons, they indicate the existence of slow underlying processes and lead to explicit conditions on the dynamics of these processes. Moreover, although these slow processes can potentially store information for long times, we demonstrate that this does not imply that the neuron possesses a long memory of its input, even if these processes are bidirectionally coupled with neuronal response. We derive these results for a broad class of biophysical neuron models, and then fit a specific model to recent experiments. The model reproduces the experimental results, exhibiting long term (days-long) correlations due to the interaction between slow variables and internal fluctuations. However, its memory of the input decays on a timescale of minutes. We suggest experiments to test these predictions directly.
Reference Key
esoudry2014frontiersthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Daniel eSoudry;Ron eMeir
Journal population health management
Year 2014
DOI
10.3389/fncom.2014.00035
URL
http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00035/full
Keywords
neurons noise adaptation ion channels temporal correlations analytical methods long memory system identification neuropsychiatry biological psychiatry conductance based neuron modelsneurosciences

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