Henry D. I. Abarbanel

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 18

Top Topics

Monte Carlo Methods

Data Assimilation

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Publications

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks. CoRR (2023)
Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics. CoRR (2022)
Randall Clark, Lawson Fuller, Jason A. Platt, Henry D. I. Abarbanel
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data. Neural Comput. 34 (7) (2022)
Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics. Neural Networks 153 (2022)
Jason A. Platt, Adrian S. Wong, Randall Clark, Stephen G. Penny, Henry D. I. Abarbanel
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization. CoRR (2021)
Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation. CoRR (2021)
Henry D. I. Abarbanel
A personal retrospective on the 60th anniversary of the journal biological cybernetics. Biol. Cybern. 115 (3) (2021)
Jason A. Platt, Anna Miller, Henry D. I. Abarbanel
Machine Learning Classification Informed by a Functional Biophysical System. CoRR (2019)
Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzales, Paul J. Rozdeba, Henry D. I. Abarbanel
Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing. CoRR (2019)
Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing. Neural Comput. 31 (10) (2019)
Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning. CoRR (2019)
Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
Machine Learning: Deepest Learning as Statistical Data Assimilation Problems. Neural Comput. 30 (8) (2018)
Anna Miller, Dawei Li, Jason A. Platt, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel
Statistical Data Assimilation: Formulation and Examples From Neurobiology. Frontiers Appl. Math. Stat. 4 (2018)
Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
Machine Learning, Deepest Learning: Statistical Data Assimilation Problems. CoRR (2017)
Jun Wang, Daniel Breen, Abraham Akinin, Frederic D. Broccard, Henry D. I. Abarbanel, Gert Cauwenberghs
Assimilation of Biophysical Neuronal Dynamics in Neuromorphic VLSI. IEEE Trans. Biomed. Circuits Syst. 11 (6) (2017)
Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
Machine Learning as Statistical Data Assimilation. CoRR (2017)
Jun Wang, Daniel Breen, Abraham Akinin, Henry D. I. Abarbanel, Gert Cauwenberghs
Data assimilation of membrane dynamics and channel kinetics with a neuromorphic integrated circuit. BioCAS (2016)
Nirag Kadakia, Eve Armstrong, Daniel Breen, Uriel Morone, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel
neurons in the avian song system. Biol. Cybern. 110 (6) (2016)
C. Daniel Meliza, Mark Kostuk, Hao Huang, Alain Nogaret, Daniel Margoliash, Henry D. I. Abarbanel
Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biol. Cybern. 108 (4) (2014)
Chris Knowlton, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biol. Cybern. 108 (3) (2014)
Mark Kostuk, Bryan A. Toth, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods. Biol. Cybern. 106 (3) (2012)
Emre Ozgur Neftci, Bryan A. Toth, Giacomo Indiveri, Henry D. I. Abarbanel
Dynamic State and Parameter Estimation Applied to Neuromorphic Systems. Neural Comput. 24 (7) (2012)
John C. Quinn, Henry D. I. Abarbanel
Data assimilation using a GPU accelerated path integral Monte Carlo approach. J. Comput. Phys. 230 (22) (2011)
Bryan A. Toth, Mark Kostuk, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
Dynamical estimation of neuron and network properties I: variational methods. Biol. Cybern. 105 (3-4) (2011)
Henry D. I. Abarbanel, Daniel R. Creveling, Reza Farsian, Mark Kostuk
Dynamical State and Parameter Estimation. SIAM J. Appl. Dyn. Syst. 8 (4) (2009)
Mehmet K. Muezzinoglu, Ramón Huerta, Henry D. I. Abarbanel, Margaret A. Ryan, Mikhail I. Rabinovich
Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory. Neural Comput. 21 (4) (2009)
Mehmet K. Muezzinoglu, Alexander Vergara, Ramón Huerta, Thomas Nowotny, Nikolai F. Rulkov, Henry D. I. Abarbanel, Allen I. Selverston, Mikhail I. Rabinovich
Artificial Olfactory Brain for Mixture Identification. NIPS (2008)
Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky
Estimating Information Rates with Confidence Intervals in Neural Spike Trains. Neural Comput. 19 (7) (2007)
Thomas Nowotny, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich
Self-organization in the olfactory system: one shot odor recognition in insects. Biol. Cybern. 93 (6) (2005)
Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky
Estimating Entropy Rates with Bayesian Confidence Intervals. Neural Comput. 17 (7) (2005)
Michael Denker, Attila Szücs, Reynaldo D. Pinto, Henry D. I. Abarbanel, Allen I. Selverston
A network of electronic neural oscillators reproduces the dynamics of the periodically forced pyloric pacemaker group. IEEE Trans. Biomed. Eng. 52 (5) (2005)
Ramón Huerta, Thomas Nowotny, Marta García-Sánchez, Henry D. I. Abarbanel, Mikhail I. Rabinovich
Learning Classification in the Olfactory System of Insects. Neural Comput. 16 (8) (2004)
Mark Flynn, Henry D. I. Abarbanel, Garrett T. Kenyon
Neurally-Based Algorithms for Image Processing. AIPR (2004)
Young-Jun Lee, Jihyun Lee, Yong-Bin Kim, Joseph Ayers, Alexander Volkovskii, Allen I. Selverston, Henry D. I. Abarbanel, Mikhail I. Rabinovich
Low power real time electronic neuron VLSI design using subthreshold technique. ISCAS (4) (2004)
Henry D. I. Abarbanel, Leif Gibb, Gabriel B. Mindlin, Mikhail I. Rabinovich, Sachin S. Talathi
Spike timing and synaptic plasticity in the premotor pathway of birdsong. Biol. Cybern. 91 (3) (2004)
Thomas Nowotny, Mikhail I. Rabinovich, Ramón Huerta, Henry D. I. Abarbanel
Decoding Temporal Information Through Slow Lateral Excitation in the Olfactory System of Insects. J. Comput. Neurosci. 15 (2) (2003)
A. Whitehead, Mikhail I. Rabinovich, Ramón Huerta, Valentin P. Zhigulin, Henry D. I. Abarbanel
Dynamical synaptic plasticity: a model and connection to some experiments. Biol. Cybern. 88 (3) (2003)
Henry D. I. Abarbanel, Leif Gibb, Ramón Huerta, Mikhail I. Rabinovich
Biophysical model of synaptic plasticity dynamics. Biol. Cybern. 89 (3) (2003)
Pablo Varona, Carlos Aguirre, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich
Spatio-temporal patterns of network activity in the inferior olive. Neurocomputing (2002)
Roy Tenny, Lev S. Tsimring, Henry D. I. Abarbanel, L. Larson
Asymmetric Key Encryption using Distributed Chaotic Nonlinear Dynamics. Communications, Internet, and Information Technology (2002)
Pablo Varona, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich, Robert C. Elson
Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis. Biol. Cybern. 84 (2) (2001)
Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel
Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information. IWANN (1) (2001)
Pablo Varona, Joaquín J. Torres, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich
Regularization mechanisms of spiking-bursting neurons. Neural Networks 14 (6-7) (2001)
Martin Falcke, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel, Robert C. Elson, Allen I. Selverston
. Biol. Cybern. 82 (6) (2000)
Mikhail I. Rabinovich, Pablo Varona, Henry D. I. Abarbanel
Nonlinear Cooperative Dynamics of Living Neurons. Int. J. Bifurc. Chaos 10 (5) (2000)
Mikhail Sushchik Jr., Nikolai F. Rulkov, Lev S. Tsimring, Henry D. I. Abarbanel, Kung Yao, Alexander Volkovskii
Chaotic pulse position modulation: a robust method of communicating with chaos. IEEE Commun. Lett. 4 (4) (2000)
Mauro Annunziato, Henry D. I. Abarbanel
Nonlinear Dynamics for Classification of Multiphase Flow Regimes. IIA/SOCO (1999)
Henry D. I. Abarbanel, Ted Frison, Lev S. Tsimring
Obtaining order in a world of chaos [signal processing]. IEEE Signal Process. Mag. 15 (3) (1998)
Johannes Sarnthein, Henry D. I. Abarbanel, H. Pockberger
Nonlinear analysis of epileptic activity in rabbit neocortex. Biol. Cybern. 78 (1) (1998)
Ted Frison, Henry D. I. Abarbanel
Identification and quantification of nonstationary chaotic behavior. ICASSP (1997)
Henry D. I. Abarbanel, Ramón Huerta, Mikhail I. Rabinovich, Nikolai F. Rulkov, Peter F. Rowat, Allen I. Selverston
Synchronized Action of Synaptically Coupled Chaotic Model Neurons. Neural Comput. 8 (8) (1996)
Ted Frison, Henry D. I. Abarbanel, Lev S. Tsimring
Chaotic methods for image processing. ICASSP (1995)
Henry D. I. Abarbanel
Chaotic signals and physical systems. ICASSP (1992)