Original Research ARTICLE

Front. Comput. Neurosci., 19 April 2010 | doi: 10.3389/fncom.2010.00009

Pooling and correlated neural activity

Department of Mathematics, College of Natural Sciences and Mathematics, University of Houston, Houston, TX, USA
Correlations between spike trains can strongly modulate neuronal activity and affect the ability of neurons to encode information. Neurons integrate inputs from thousands of afferents. Similarly, a number of experimental techniques are designed to record pooled cell activity. We review and generalize a number of previous results that show how correlations between cells in a population can be amplified and distorted in signals that reflect their collective activity. The structure of the underlying neuronal response can significantly impact correlations between such pooled signals. Therefore care needs to be taken when interpreting pooled recordings, or modeling networks of cells that receive inputs from large presynaptic populations. We also show that the frequently observed runaway synchrony in feedforward chains is primarily due to the pooling of correlated inputs.
correlation, pooling, synchrony, feedforward networks, synfire chains
Rosenbaum RJ, Trousdale J and Josić K (2010). Pooling and correlated neural activity. Front. Comput. Neurosci. 4:9. doi: 10.3389/fncom.2010.00009
26 November 2009;
 Paper pending published:
21 December 2009;
24 March 2010;
 Published online:
19 April 2010.

Edited by:

Philipp Berens, Baylor College of Medicine, USA
Max Planck Institute for Biological Cybernetics, Germany

Reviewed by:

Nestor Parga, Columbia University, USA
John A. Hertz, Niels Bohr Institute, Denmark
Arvind Kumar, University of Freiburg, Germany
© 2010 Rosenbaum, Trousdale and Josić. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
Robert J. Rosenbaum, University of Houston, Department of Mathematics, Houston, TX 77204-3008, USA. e-mail: robertr@math.uh.edu
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