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Optimal neural coding in networks of heterogeneous neurons

Interestingly, cell-to-cell differences have been recently found to be relevant in synchronization of inhibitory networks [2], coherent activity in electrically coupled neurons [3], synchronized bursting events [4], global detection of weak signals [5], and efficient coding for communication signals...

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Published in:BMC neuroscience 2012-07, Vol.13 (S1), p.1-P96, Article P96
Main Authors: Mejias, Jorge F, Longtin, Andre
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description Interestingly, cell-to-cell differences have been recently found to be relevant in synchronization of inhibitory networks [2], coherent activity in electrically coupled neurons [3], synchronized bursting events [4], global detection of weak signals [5], and efficient coding for communication signals [6], highlighting a possible role of heterogeneity on neural information processing. In this work, we present a theoretical and numerical study of how different strategies of neural coding (concretely, rate coding and temporal coding) are affected by the presence of heterogeneity in the properties of the neurons in the network, paying special attention to their ability to process and codify incoming signals. [...]we show, theoretically and numerically, that certain heterogeneity values- which lie within the physiological rage found in actual neurons- optimize the transmission of information in rate and temporal codes in a stochastic resonance fashion, suggesting that cell-to-cell differences are not useful only for population coding, but also for more general coding strategies.
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subjects Cell interactions
Information processing
Neural coding
Neurons
Poster Presentation
Signal processing
Synchronization
Temporal variations
title Optimal neural coding in networks of heterogeneous neurons
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