the neuronal response at extended timescales: long-term correlations without long-term memory
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.
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166829
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0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
166829
Unique Identifier:
10.3389/fncom.2014.00035
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Scimatic Chain (ID: 481)
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