Sparse coding and high-order correlations in fine-scale cortical networks

Ifije E. Ohiorhenuan (), Ferenc Mechler, Keith P. Purpura, Anita M. Schmid, Qin Hu and Jonathan D. Victor
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Ifije E. Ohiorhenuan: Weill Cornell Medical College, New York, New York 10065, USA
Ferenc Mechler: Weill Cornell Medical College, New York, New York 10065, USA
Keith P. Purpura: Weill Cornell Medical College, New York, New York 10065, USA
Anita M. Schmid: Weill Cornell Medical College, New York, New York 10065, USA
Qin Hu: Weill Cornell Medical College, New York, New York 10065, USA
Jonathan D. Victor: Weill Cornell Medical College, New York, New York 10065, USA

Nature, 2010, vol. 466, issue 7306, 617-621

Abstract: A hierarchy in cortical organization Sensory cortical neurons are interconnected at different scales, from fine-scale networks tens of micrometres in size to long-range links spanning several hundred micrometres, presumably related to differences in functional interactions. Using maximum entropy models, Ohiorhenuan et al. explore the correlation structure of neurons in the primary visual cortex of anaesthetized macaque monkeys recorded using multiple tetrodes. They conclude that whereas distant neurons display pair-wise correlations, local networks can exhibit more complex interactions that may act to 'sparsify' the neural code.

Date: 2010
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DOI: 10.1038/nature09178

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