Pairwise Analysis Can Account for Network Structures Arising from Spike-Timing Dependent Plasticity

Baktash Babadi; L. F. Abbott

doi:10.1371/journal.pcbi.1002906

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Open Access

Peer-reviewed

Research Article

Pairwise Analysis Can Account for Network Structures Arising from Spike-Timing Dependent Plasticity

Baktash Babadi ,

* E-mail: bbabadi@fas.harvard.edu

Affiliations Center for Theoretical Neuroscience, Department of Neuroscience, Columbia University, New York, New York, United States of America, Swartz Program in Theoretical Neuroscience, Center for Brain Sciences, Harvard University, Cambridge, Massachusetts, United States
⨯
L. F. Abbott

Affiliation Center for Theoretical Neuroscience, Department of Neuroscience, Columbia University, New York, New York, United States of America
⨯

Pairwise Analysis Can Account for Network Structures Arising from Spike-Timing Dependent Plasticity

Baktash Babadi,
L. F. Abbott

Published: February 21, 2013
https://doi.org/10.1371/journal.pcbi.1002906

About the Authors

Baktash Babadi

* E-mail: bbabadi@fas.harvard.edu

Affiliations Center for Theoretical Neuroscience, Department of Neuroscience, Columbia University, New York, New York, United States of America, Swartz Program in Theoretical Neuroscience, Center for Brain Sciences, Harvard University, Cambridge, Massachusetts, United States

L. F. Abbott

Affiliation Center for Theoretical Neuroscience, Department of Neuroscience, Columbia University, New York, New York, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: BB LFA. Performed the experiments: BB LFA. Analyzed the data: BB LFA. Contributed reagents/materials/analysis tools: BB LFA. Wrote the paper: BB LFA.

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Neurons
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Synapses
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Action potentials
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