Chaotic signals and physical systems. - Henry D. I. Abarbanel (ICASSP, 1992)

Chaotic methods for image processing. - Ted Frison; Henry D. I. Abarbanel; Lev S. Tsimring (ICASSP, 1995)

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)

Identification and quantification of nonstationary chaotic behavior. - Ted Frison; Henry D. I. Abarbanel (ICASSP, 1997)

Nonlinear analysis of epileptic activity in rabbit neocortex. - Johannes Sarnthein; Henry D. I. Abarbanel; H. Pockberger (Biol. Cybern., 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 Dynamics for Classification of Multiphase Flow Regimes. - Mauro Annunziato; Henry D. I. Abarbanel (IIA/SOCO, 1999)

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)

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)

Nonlinear Cooperative Dynamics of Living Neurons. - Mikhail I. Rabinovich; Pablo Varona; Henry D. I. Abarbanel (Int. J. Bifurc. Chaos, 2000)

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 (IWANN (1), 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)

Regularization mechanisms of spiking-bursting neurons. - Pablo Varona; Joaquín J. Torres; Ramón Huerta; Henry D. I. Abarbanel; Mikhail I. Rabinovich (Neural Networks, 2001)

Asymmetric Key Encryption using Distributed Chaotic Nonlinear Dynamics. - Roy Tenny; Lev S. Tsimring; Henry D. I. Abarbanel; Lawrence E. Larson (Communications, Internet, and Information Technology, 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)

Biophysical model of synaptic plasticity dynamics. - Henry D. I. Abarbanel; Leif Gibb; Ramón Huerta; Mikhail I. Rabinovich (Biol. Cybern., 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)

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)

Neurally-Based Algorithms for Image Processing. - Mark Flynn; Henry D. I. Abarbanel; Garrett T. Kenyon (AIPR, 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 (ISCAS (4), 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)

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)

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)

Estimating Entropy Rates with Bayesian Confidence Intervals. - Matthew B. Kennel; Jonathon Shlens; Henry D. I. Abarbanel; E. J. Chichilnisky (Neural Comput., 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 Information Rates with Confidence Intervals in Neural Spike Trains. - Jonathon Shlens; Matthew B. Kennel; Henry D. I. Abarbanel; E. J. Chichilnisky (Neural Comput., 2007)

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 (NIPS, 2008)

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)

Dynamical State and Parameter Estimation. - Henry D. I. Abarbanel; Daniel R. Creveling; Reza Farsian; Mark Kostuk (SIAM J. Appl. Dyn. Syst., 2009)

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)

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 II: path integral Monte Carlo methods. - Mark Kostuk; Bryan A. Toth; C. Daniel Meliza; Daniel Margoliash; Henry D. I. Abarbanel (Biol. Cybern., 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 III: network analysis using neuron spike times. - Chris Knowlton; C. Daniel Meliza; Daniel Margoliash; Henry D. I. Abarbanel (Biol. Cybern., 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)

Data assimilation of membrane dynamics and channel kinetics with a neuromorphic integrated circuit. - Jun Wang 040; Daniel Breen; Abraham Akinin; Henry D. I. Abarbanel; Gert Cauwenberghs (BioCAS, 2016)

Nonlinear statistical data assimilation for HVCRA 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)

Machine Learning, Deepest Learning: Statistical Data Assimilation Problems. - Henry D. I. Abarbanel; Paul J. Rozdeba; Sasha Shirman (CoRR, 2017)

Machine Learning as Statistical Data Assimilation. - Henry D. I. Abarbanel; Paul J. Rozdeba; Sasha Shirman (CoRR, 2017)

Assimilation of Biophysical Neuronal Dynamics in Neuromorphic VLSI. - Jun Wang 040; Daniel Breen; Abraham Akinin; Frederic D. Broccard; Henry D. I. Abarbanel; Gert Cauwenberghs (IEEE Trans. Biomed. Circuits Syst., 2017)

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)

Machine Learning: Deepest Learning as Statistical Data Assimilation Problems. - Henry D. I. Abarbanel; Paul J. Rozdeba; Sasha Shirman (Neural Comput., 2018)

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)

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 Classification Informed by a Functional Biophysical System. - Jason A. Platt; Anna Miller; 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. Gonzalez; Paul J. Rozdeba; Henry D. I. Abarbanel (Neural Comput., 2019)

A personal retrospective on the 60th anniversary of the journal biological cybernetics. - Henry D. I. Abarbanel (Biol. Cybern., 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)

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)

Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data. - Randall Clark; Lawson Fuller; Jason A. Platt; Henry D. I. Abarbanel (Neural Comput., 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)

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)

Model of the HVC neural network as a song motor in zebra finch. - Pan Xia; Henry D. I. Abarbanel (Frontiers Comput. Neurosci., 2024)