Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings

Quentin J. M. Huys; Liam Paninski

doi:10.1371/journal.pcbi.1000379

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Open Access

Peer-reviewed

Research Article

Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings

Quentin J. M. Huys ,

* E-mail: qhuys@cantab.net

Affiliations Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom, Center for Theoretical Neuroscience, Columbia University, New York, New York, United States of America
⨯
Liam Paninski

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

Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings

Quentin J. M. Huys,
Liam Paninski

Published: May 8, 2009
https://doi.org/10.1371/journal.pcbi.1000379

About the Authors

Quentin J. M. Huys

* E-mail: qhuys@cantab.net

Affiliations Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom, Center for Theoretical Neuroscience, Columbia University, New York, New York, United States of America

Liam Paninski

Affiliations Center for Theoretical Neuroscience, Columbia University, New York, New York, United States of America, Statistics Department, 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: QJH LP. Performed the experiments: QJH LP. Analyzed the data: QJH LP. Wrote the paper: QJH LP.

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Biophysics
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Action potentials
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Gaussian noise
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Algorithms
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Sodium channels
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Dynamical systems
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Imaging techniques
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Monte Carlo method
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