Henry D. I. Abarbanel

54 papers Misc 3Journal 44Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Model of the HVC neural network as a song motor in zebra finch. Frontiers Comput. Neurosci. Pan Xia, Henry D. I. Abarbanel
2023	J	`jnl`	Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks. CoRR Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
2022	J	`jnl`	A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics. CoRR Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
2022	J	`jnl`	A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics. Neural Networks Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel
2022	J	`jnl`	Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data. Neural Comput. Randall Clark, Lawson Fuller, Jason A. Platt, Henry D. I. Abarbanel
2021	J	`jnl`	A personal retrospective on the 60th anniversary of the journal biological cybernetics. Biol. Cybern. Henry D. I. Abarbanel
2021	J	`jnl`	Forecasting Using Reservoir Computing: The Role of Generalized Synchronization. CoRR Jason A. Platt, Adrian S. Wong, Randall Clark, Stephen G. Penny, Henry D. I. Abarbanel
2021	J	`jnl`	Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation. CoRR Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel
2019	J	`jnl`	Machine Learning Classification Informed by a Functional Biophysical System. CoRR Jason A. Platt, Anna Miller, Henry D. I. Abarbanel
2019	J	`jnl`	Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing. Neural Comput. Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel
2019	J	`jnl`	Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing. CoRR Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzales, Paul J. Rozdeba, Henry D. I. Abarbanel
2019	J	`jnl`	Precision annealing Monte Carlo methods for statistical data assimilation and machine learning. CoRR Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel
2018	J	`jnl`	Machine Learning: Deepest Learning as Statistical Data Assimilation Problems. Neural Comput. Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
2018	J	`jnl`	Statistical Data Assimilation: Formulation and Examples From Neurobiology. Frontiers Appl. Math. Stat. Anna Miller, Dawei Li, Jason A. Platt, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel
2017	J	`jnl`	Assimilation of Biophysical Neuronal Dynamics in Neuromorphic VLSI. IEEE Trans. Biomed. Circuits Syst. Jun Wang, Daniel Breen, Abraham Akinin, Frederic D. Broccard, Henry D. I. Abarbanel, Gert Cauwenberghs
2017	J	`jnl`	Machine Learning as Statistical Data Assimilation. CoRR Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
2017	J	`jnl`	Machine Learning, Deepest Learning: Statistical Data Assimilation Problems. CoRR Henry D. I. Abarbanel, Paul J. Rozdeba, Sasha Shirman
2016	—	`conf`	Data assimilation of membrane dynamics and channel kinetics with a neuromorphic integrated circuit. BioCAS Jun Wang, Daniel Breen, Abraham Akinin, Henry D. I. Abarbanel, Gert Cauwenberghs
2016	J	`jnl`	Nonlinear statistical data assimilation for HVC Biol. Cybern. Nirag Kadakia, Eve Armstrong, Daniel Breen, Uriel Morone, Arij Daou, Daniel Margoliash, Henry D. I. Abarbanel
2014	J	`jnl`	Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biol. Cybern. Chris Knowlton, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
2014	J	`jnl`	Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biol. Cybern. C. Daniel Meliza, Mark Kostuk, Hao Huang, Alain Nogaret, Daniel Margoliash, Henry D. I. Abarbanel
2012	J	`jnl`	Dynamic State and Parameter Estimation Applied to Neuromorphic Systems. Neural Comput. Emre Ozgur Neftci, Bryan A. Toth, Giacomo Indiveri, Henry D. I. Abarbanel
2012	J	`jnl`	Dynamical estimation of neuron and network properties II: path integral Monte Carlo methods. Biol. Cybern. Mark Kostuk, Bryan A. Toth, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
2011	J	`jnl`	Data assimilation using a GPU accelerated path integral Monte Carlo approach. J. Comput. Phys. John C. Quinn, Henry D. I. Abarbanel
2011	J	`jnl`	Dynamical estimation of neuron and network properties I: variational methods. Biol. Cybern. Bryan A. Toth, Mark Kostuk, C. Daniel Meliza, Daniel Margoliash, Henry D. I. Abarbanel
2009	J	`jnl`	Chemosensor-Driven Artificial Antennal Lobe Transient Dynamics Enable Fast Recognition and Working Memory. Neural Comput. Mehmet K. Muezzinoglu, Ramón Huerta, Henry D. I. Abarbanel, Margaret A. Ryan, Mikhail I. Rabinovich
2009	J	`jnl`	Dynamical State and Parameter Estimation. SIAM J. Appl. Dyn. Syst. Henry D. I. Abarbanel, Daniel R. Creveling, Reza Farsian, Mark Kostuk
2008	—	`conf`	Artificial Olfactory Brain for Mixture Identification. NIPS Mehmet K. Muezzinoglu, Alexander Vergara, Ramón Huerta, Thomas Nowotny, Nikolai F. Rulkov, Henry D. I. Abarbanel, Allen I. Selverston, Mikhail I. Rabinovich
2007	J	`jnl`	Estimating Information Rates with Confidence Intervals in Neural Spike Trains. Neural Comput. Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky
2005	J	`jnl`	A network of electronic neural oscillators reproduces the dynamics of the periodically forced pyloric pacemaker group. IEEE Trans. Biomed. Eng. Michael Denker, Attila Szücs, Reynaldo D. Pinto, Henry D. I. Abarbanel, Allen I. Selverston
2005	J	`jnl`	Estimating Entropy Rates with Bayesian Confidence Intervals. Neural Comput. Matthew B. Kennel, Jonathon Shlens, Henry D. I. Abarbanel, E. J. Chichilnisky
2005	J	`jnl`	Self-organization in the olfactory system: one shot odor recognition in insects. Biol. Cybern. Thomas Nowotny, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich
2004	J	`jnl`	Learning Classification in the Olfactory System of Insects. Neural Comput. Ramón Huerta, Thomas Nowotny, Marta García-Sánchez, Henry D. I. Abarbanel, Mikhail I. Rabinovich
2004	—	`conf`	Low power real time electronic neuron VLSI design using subthreshold technique. ISCAS (4) Young-Jun Lee, Jihyun Lee, Yong-Bin Kim, Joseph Ayers, Alexander Volkovskii, Allen I. Selverston, Henry D. I. Abarbanel, Mikhail I. Rabinovich
2004	—	`conf`	Neurally-Based Algorithms for Image Processing. AIPR Mark Flynn, Henry D. I. Abarbanel, Garrett T. Kenyon
2004	J	`jnl`	Spike timing and synaptic plasticity in the premotor pathway of birdsong. Biol. Cybern. Henry D. I. Abarbanel, Leif Gibb, Gabriel B. Mindlin, Mikhail I. Rabinovich, Sachin S. Talathi
2003	J	`jnl`	Biophysical model of synaptic plasticity dynamics. Biol. Cybern. Henry D. I. Abarbanel, Leif Gibb, Ramón Huerta, Mikhail I. Rabinovich
2003	J	`jnl`	Decoding Temporal Information Through Slow Lateral Excitation in the Olfactory System of Insects. J. Comput. Neurosci. Thomas Nowotny, Mikhail I. Rabinovich, Ramón Huerta, Henry D. I. Abarbanel
2003	J	`jnl`	Dynamical synaptic plasticity: a model and connection to some experiments. Biol. Cybern. A. Whitehead, Mikhail I. Rabinovich, Ramón Huerta, Valentin P. Zhigulin, Henry D. I. Abarbanel
2002	—	`conf`	Asymmetric Key Encryption using Distributed Chaotic Nonlinear Dynamics. Communications, Internet, and Information Technology Roy Tenny, Lev S. Tsimring, Henry D. I. Abarbanel, Lawrence E. Larson
2002	J	`jnl`	Spatio-temporal patterns of network activity in the inferior olive. Neurocomputing Pablo Varona, Carlos Aguirre, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich
2001	J	`jnl`	Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis. Biol. Cybern. Pablo Varona, Joaquín J. Torres, Henry D. I. Abarbanel, Mikhail I. Rabinovich, Robert C. Elson
2001	J	`jnl`	Regularization mechanisms of spiking-bursting neurons. Neural Networks Pablo Varona, Joaquín J. Torres, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich
2001	—	`conf`	Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information. IWANN (1) Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel
2000	J	`jnl`	Chaotic pulse position modulation: a robust method of communicating with chaos. IEEE Commun. Lett. Mikhail Sushchik Jr., Nikolai F. Rulkov, Lev S. Tsimring, Henry D. I. Abarbanel, Kung Yao, Alexander Volkovskii
2000	J	`jnl`	Modeling observed chaotic oscillations in bursting neurons: the role of calcium dynamics and IP Biol. Cybern. Martin Falcke, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel, Robert C. Elson, Allen I. Selverston
2000	J	`jnl`	Nonlinear Cooperative Dynamics of Living Neurons. Int. J. Bifurc. Chaos Mikhail I. Rabinovich, Pablo Varona, Henry D. I. Abarbanel
1999	—	`conf`	Nonlinear Dynamics for Classification of Multiphase Flow Regimes. IIA/SOCO Mauro Annunziato, Henry D. I. Abarbanel
1998	J	`jnl`	Nonlinear analysis of epileptic activity in rabbit neocortex. Biol. Cybern. Johannes Sarnthein, Henry D. I. Abarbanel, H. Pockberger
1998	J	`jnl`	Obtaining order in a world of chaos [signal processing]. IEEE Signal Process. Mag. Henry D. I. Abarbanel, Ted Frison, Lev S. Tsimring
1997	Misc	`conf`	Identification and quantification of nonstationary chaotic behavior. ICASSP Ted Frison, Henry D. I. Abarbanel
1996	J	`jnl`	Synchronized Action of Synaptically Coupled Chaotic Model Neurons. Neural Comput. Henry D. I. Abarbanel, Ramón Huerta, Mikhail I. Rabinovich, Nikolai F. Rulkov, Peter F. Rowat, Allen I. Selverston
1995	Misc	`conf`	Chaotic methods for image processing. ICASSP Ted Frison, Henry D. I. Abarbanel, Lev S. Tsimring
1992	Misc	`conf`	Chaotic signals and physical systems. ICASSP Henry D. I. Abarbanel