A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

Yann Sweeney; Jeanette Hellgren Kotaleski; Matthias H. Hennig

doi:10.1371/journal.pcbi.1004389

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Open Access

Peer-reviewed

Research Article

A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

Yann Sweeney ,

* E-mail: yann.sweeney@ed.ac.uk

Affiliations Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom, Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden
⨯
Jeanette Hellgren Kotaleski,

Affiliation Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden
⨯
Matthias H. Hennig

Affiliation Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
⨯

A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks

Yann Sweeney,
Jeanette Hellgren Kotaleski,
Matthias H. Hennig

Published: July 9, 2015
https://doi.org/10.1371/journal.pcbi.1004389
See the preprint

About the Authors

Yann Sweeney

* E-mail: yann.sweeney@ed.ac.uk

Affiliations Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom, Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden

Jeanette Hellgren Kotaleski

Affiliation Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden

Matthias H. Hennig

Affiliation Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: MHH YS JHK. Performed the experiments: YS. Analyzed the data: YS. Contributed reagents/materials/analysis tools: YS. Wrote the paper: YS MHH.

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Homeostasis
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Neurons
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Neural networks
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Nitric oxide
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Action potentials
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Neural homeostasis
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Homeostatic mechanisms
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Transfer functions
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