Henry D. I. Abarbanel

According to our database, Henry D. I. Abarbanel authored at least 52 papers between 1992 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

CoRR, 2023

2022

A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

Neural Networks, 2022

Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data.

Randall Clark, Lawson Fuller, Jason A. Platt, Henry D. I. Abarbanel

Neural Comput., 2022

2021

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation.

Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel

CoRR, 2021

Forecasting Using Reservoir Computing: The Role of Generalized Synchronization.

Jason A. Platt, Adrian S. Wong, Randall Clark, Stephen G. Penny, Henry D. I. Abarbanel

CoRR, 2021

A personal retrospective on the 60th anniversary of the journal biological cybernetics.

Henry D. I. Abarbanel

Biol. Cybern., 2021

2019

Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing.

Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel

Neural Comput., 2019

Machine Learning Classification Informed by a Functional Biophysical System.

Jason A. Platt, Anna Miller, Henry D. I. Abarbanel

CoRR, 2019

Precision annealing Monte Carlo methods for statistical data assimilation and machine learning.

Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel

CoRR, 2019

Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing.

Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzales, Paul J. Rozdeba, Henry D. I. Abarbanel

CoRR, 2019

2018

Machine Learning: Deepest Learning as Statistical Data Assimilation Problems.

Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman

Neural Comput., 2018

Statistical Data Assimilation: Formulation and Examples From Neurobiology.

Anna Miller, Dawei Li, Jason A. Platt, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel

Frontiers Appl. Math. Stat., 2018

2017

Assimilation of Biophysical Neuronal Dynamics in Neuromorphic VLSI.

Jun Wang, Daniel Breen, Abraham Akinin, Frederic D. Broccard, Henry D. I. Abarbanel, Gert Cauwenberghs

IEEE Trans. Biomed. Circuits Syst., 2017

Machine Learning as Statistical Data Assimilation.

Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman

CoRR, 2017

Machine Learning, Deepest Learning: Statistical Data Assimilation Problems.

Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman

CoRR, 2017

2016

Nonlinear statistical data assimilation for HVC_RA neurons in the avian song system.

Nirag Kadakia, Eve Armstrong, Daniel Breen, Uriel Morone, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel

Biol. Cybern., 2016

Data assimilation of membrane dynamics and channel kinetics with a neuromorphic integrated circuit.

Jun Wang, Daniel Breen, Abraham Akinin, Henry D. I. Abarbanel, Gert Cauwenberghs

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2014

Estimating parameters and predicting membrane voltages with conductance-based neuron models.

C. Daniel Meliza, Mark Kostuk, Hao Huang, Alain Nogaret, Daniel Margoliash, Henry D. I. Abarbanel

Biol. Cybern., 2014

Dynamical estimation of neuron and network properties III: network analysis using neuron spike times.

Chris Knowlton, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel

Biol. Cybern., 2014

2012

Dynamic State and Parameter Estimation Applied to Neuromorphic Systems.

Emre Ozgur Neftci, Bryan A. Toth, Giacomo Indiveri, Henry D. I. Abarbanel

Neural Comput., 2012

Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods.

Mark Kostuk, Bryan A. Toth, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel

Biol. Cybern., 2012

2011

Data assimilation using a GPU accelerated path integral Monte Carlo approach.

John C. Quinn, Henry D. I. Abarbanel

J. Comput. Phys., 2011

Dynamical estimation of neuron and network properties I: variational methods.

Bryan A. Toth, Mark Kostuk, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel

Biol. Cybern., 2011

2009

Dynamical State and Parameter Estimation.

Henry D. I. Abarbanel, Daniel R. Creveling, Reza Farsian, Mark Kostuk

SIAM J. Appl. Dyn. Syst., 2009

Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory.

Mehmet K. Muezzinoglu, Ramón Huerta, Henry D. I. Abarbanel, Margaret A. Ryan, Mikhail I. Rabinovich

Neural Comput., 2009

2008

Artificial Olfactory Brain for Mixture Identification.

Mehmet K. Muezzinoglu, Alexander Vergara, Ramón Huerta, Thomas Nowotny, Nikolai F. Rulkov, Henry D. I. Abarbanel, Allen I. Selverston, Mikhail I. Rabinovich

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Estimating Information Rates with Confidence Intervals in Neural Spike Trains.

Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky

Neural Comput., 2007

2005

A network of electronic neural oscillators reproduces the dynamics of the periodically forced pyloric pacemaker group.

Michael Denker, Attila Szücs, Reynaldo D. Pinto, Henry D. I. Abarbanel, Allen I. Selverston

IEEE Trans. Biomed. Eng., 2005

Estimating Entropy Rates with Bayesian Confidence Intervals.

Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky

Neural Comput., 2005

Self-organization in the olfactory system: one shot odor recognition in insects.

Thomas Nowotny, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich

Biol. Cybern., 2005

2004

Learning Classification in the Olfactory System of Insects.

Ramón Huerta, Thomas Nowotny, Marta García-Sánchez, Henry D. I. Abarbanel, Mikhail I. Rabinovich

Neural Comput., 2004

Spike timing and synaptic plasticity in the premotor pathway of birdsong.

Henry D. I. Abarbanel, Leif Gibb, Gabriel B. Mindlin, Mikhail I. Rabinovich, Sachin S. Talathi

Biol. Cybern., 2004

Low power real time electronic neuron VLSI design using subthreshold technique.

Young-Jun Lee, Jihyun Lee, Yong-Bin Kim, Joseph Ayers, Alexander Volkovskii, Allen I. Selverston, Henry D. I. Abarbanel, Mikhail I. Rabinovich

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Neurally-Based Algorithms for Image Processing.

Mark Flynn, Henry D. I. Abarbanel, Garrett T. Kenyon

Proceedings of the 33rd Applied Image Pattern Recognition Workshop (AIPR 2004), 2004

2003

Decoding Temporal Information Through Slow Lateral Excitation in the Olfactory System of Insects.

Thomas Nowotny, Mikhail I. Rabinovich, Ramón Huerta, Henry D. I. Abarbanel

J. Comput. Neurosci., 2003

Dynamical synaptic plasticity: a model and connection to some experiments.

A. Whitehead, Mikhail I. Rabinovich, Ramón Huerta, Valentin P. Zhigulin, Henry D. I. Abarbanel

Biol. Cybern., 2003

Biophysical model of synaptic plasticity dynamics.

Henry D. I. Abarbanel, Leif Gibb, Ramón Huerta, Mikhail I. Rabinovich

Biol. Cybern., 2003

2002

Spatio-temporal patterns of network activity in the inferior olive.

Pablo Varona, Carlos Aguirre, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich

Neurocomputing, 2002

Asymmetric Key Encryption using Distributed Chaotic Nonlinear Dynamics.

Roy Tenny, Lev S. Tsimring, Henry D. I. Abarbanel, Lawrence E. Larson

Proceedings of the IASTED International Conference on Communications, 2002

2001

Regularization mechanisms of spiking-bursting neurons.

Pablo Varona, Joaquín J. Torres, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich

Neural Networks, 2001

Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis.

Pablo Varona, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich, Robert C. Elson

Biol. Cybern., 2001

Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information.

Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel

Proceedings of the Connectionist Models of Neurons, 2001

2000

Nonlinear Cooperative Dynamics of Living Neurons.

Mikhail I. Rabinovich, Pablo Varona, Henry D. I. Abarbanel

Int. J. Bifurc. Chaos, 2000

Chaotic pulse position modulation: a robust method of communicating with chaos.

Mikhail Sushchik Jr., Nikolai F. Rulkov, Lev S. Tsimring, Henry D. I. Abarbanel, Kung Yao, Alexander Volkovskii

IEEE Commun. Lett., 2000

Modeling observed chaotic oscillations in bursting neurons: the role of calcium dynamics and IP₃.

Martin Falcke, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel, Robert C. Elson, Allen I. Selverston

Biol. Cybern., 2000

1999

Nonlinear Dynamics for Classification of Multiphase Flow Regimes.

Mauro Annunziato, Henry D. I. Abarbanel

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

1998

Obtaining order in a world of chaos [signal processing].

Henry D. I. Abarbanel, Ted Frison, Lev S. Tsimring

IEEE Signal Process. Mag., 1998

Nonlinear analysis of epileptic activity in rabbit neocortex.

Johannes Sarnthein, Henry D. I. Abarbanel, H. Pockberger

Biol. Cybern., 1998

1997

Identification and quantification of nonstationary chaotic behavior.

Ted Frison, Henry D. I. Abarbanel

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Synchronized Action of Synaptically Coupled Chaotic Model Neurons.

Henry D. I. Abarbanel, Ramón Huerta, Mikhail I. Rabinovich, Nikolai F. Rulkov, Peter F. Rowat, Allen I. Selverston

Neural Comput., 1996

1995

Chaotic methods for image processing.

Ted Frison, Henry D. I. Abarbanel, Lev S. Tsimring

Proceedings of the 1995 International Conference on Acoustics, 1995

1992

Chaotic signals and physical systems.

Henry D. I. Abarbanel

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992