Decorrelated Neuronal Firing in Cortical Microcircuits

Author:

Ecker Alexander S.123,Berens Philipp123,Keliris Georgios A.1,Bethge Matthias12,Logothetis Nikos K.14,Tolias Andreas S.356

Affiliation:

1. Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany.

2. Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, 72076 Tübingen, Germany.

3. Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.

4. Division of Imaging Science and Biomedical Engineering, University of Manchester, Manchester M1 7HL, UK.

5. Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA.

6. Department of Computational and Applied Mathematics, Rice University, Houston, TX 77005, USA.

Abstract

Columns, Connections, and Correlations What is the nature of interactions between neurons in neural circuits? The prevalent hypothesis suggests that dense local connectivity causes nearby cortical neurons to receive substantial amounts of common input, which in turn leads to strong correlations between them. Now two studies challenge this view, which impacts our fundamental understanding of coding in the cortex. Ecker et al. (p. 584 ) investigated the statistics of correlated firing in pairs of neurons from area V1 of awake macaque monkeys. In contrast to previous studies, correlations turned out to be very low, irrespective of the stimulus being shown to the animals, the distances of the recording sites, and the similarity of the neuron's receptive fields or response properties. In an accompanying modeling and recording paper, Renart et al. (p. 587 ) demonstrate how it is possible to have zero noise correlation, even among cells with common input.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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