Correlated Neuronal Activity: High- and Low-Level Views - Computational Neuroscience: A Comprehensive Approach - page 337

Chapter 12

CorrelatedNeuronalActivity:
High-andLow-LevelViews

Emilio Salinas 1 , and Terrence J. Sejnowski 2 , 3
1 Department of Neurobiology and Anatomy, Wake Forest University School of
Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1010, U.S.,
2 Computational Neurobiology Laboratory, Howard Hughes Medical Institute, The
Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA
92037, U.S., 3 Department of Biology, University of California at San Diego, La
Jolla, CA 92093, U.S.

CONTENTS
12.1 Introduction: the timing game
12.2 Functionalrolesforspiketiming
12.2.1 Stimulusrepresentation
12.2.2 Informationflow
12.3 Correlations arising from common input
12.4 Correlationsarisingfromlocalnetworkinteractions
12.5 When are neurons sensitive to correlated input?
12.5.1 Coincidencedetection
12.5.2 Fluctuationsandintegratormodels
12.6 A simple, quantitative model
12.6.1 Parameterizing the input
12.6.2 A random walk in voltage
12.6.3 Quantitative relationships between input and output
12.7 Correlations and neuronal variability
12.8 Conclusion
12.9 Appendix
References

12.1 Introduction: the timing game

Correlated firing is a common expression used in Neuroscience. It refers to two or
more neurons that tend to be activated at the same time. It is used so frequently in part
because there are so many timescales at which one may analyze neural activity. In a