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Henry D I Abarbanel

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
Computational modeling, dynamics
Website:
http://inls.ucsd.edu/~hdia/
Google:
"Henry Abarbanel"
Mean distance: 14.07 (cluster 17)
 
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Parents

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Richard Blankenbecler grad student Princeton (Physics Tree)

Children

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Adrian S Wong grad student UCSD (Physics Tree)
Lucas Illing grad student 2002 UCSD
Michael Buhl grad student 2004 UCSD
Evren C. Tumer grad student 2004 UCSD
Shane C. Walker grad student 2005 UCSD
Sachin S. Talathi grad student 2006 UCSD
Jason H. Wolfe grad student 2007 UCSD
Kevin B. Wood grad student 2007 UCSD
Daniel R. Creveling grad student 2008 UCSD
Leif Gibb grad student 2003-2009 UCSD
Bryan A. Toth grad student 2011 UCSD
Mark Kostuk grad student 2012 UCSD
William G. Whartenby grad student 2012 UCSD
Reza Farsian grad student 2013 UCSD
Christopher J. Knowlton grad student 2014 UCSD
Zheng Fang grad student 2016-2021 UCSD
Lucas Illing post-doc UCSD
Thomas Kreuz post-doc 2007-2009 UCSD

Collaborators

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Joseph Ayers collaborator Northeastern University
Pamela D. Butler collaborator The Nathan S. Kline Institute
Darrell D. E. Long collaborator (Computer Science Tree)
Emre Ozgür Neftçi collaborator INI Zurich
Alessandro Torcini collaborator 2007-2009
BETA: Related publications

Publications

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Nogaret A, Meliza CD, Margoliash D, et al. (2016) Automatic Construction of Predictive Neuron Models through Large Scale Assimilation of Electrophysiological Data. Scientific Reports. 6: 32749
Ye J, Rey D, Kadakia N, et al. (2015) Systematic variational method for statistical nonlinear state and parameter estimation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 052901
Schumann-Bischoff J, Parlitz U, Abarbanel HD, et al. (2015) Basin structure of optimization based state and parameter estimation. Chaos (Woodbury, N.Y.). 25: 053108
Nogaret A, O'Callaghan EL, Lataro RM, et al. (2015) Silicon central pattern generators for cardiac diseases. The Journal of Physiology. 593: 763-74
Rey D, Eldridge M, Morone U, et al. (2014) Using waveform information in nonlinear data assimilation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062916
Ye J, Rozdeba PJ, Morone UI, et al. (2014) Estimating the biophysical properties of neurons with intracellular calcium dynamics. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 062714
Meliza CD, Kostuk M, Huang H, et al. (2014) Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biological Cybernetics. 108: 495-516
Knowlton C, Meliza CD, Margoliash D, et al. (2014) Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biological Cybernetics. 108: 261-73
Kostuk M, Toth BA, Meliza CD, et al. (2012) Dynamical estimation of neuron and network properties II: Path integral Monte Carlo methods. Biological Cybernetics. 106: 155-67
Neftci EO, Toth B, Indiveri G, et al. (2012) Dynamic state and parameter estimation applied to neuromorphic systems. Neural Computation. 24: 1669-94
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