Search Results - "Abarbanel, H. D. I"

Optical Imaging of Neuronal Populations During Decision-Making by Briggman, K. L, Abarbanel, H. D. I, Kristan, W. B

“…We investigated decision-making in the leech nervous system by stimulating identical sensory inputs that sometimes elicit crawling and other times swimming…”
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Learning classification in the olfactory system of insects by Huerta, Ramón, Nowotny, Thomas, García-Sanchez, Marta, Abarbanel, H D I, Rabinovich, M I

“…We propose a theoretical framework for odor classification in the olfactory system of insects. The classification task is accomplished in two steps. The first…”
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Integrating Recurrent Neural Networks With Data Assimilation for Scalable Data‐Driven State Estimation by Penny, S. G., Smith, T. A., Chen, T.‐C., Platt, J. A., Lin, H.‐Y., Goodliff, M., Abarbanel, H. D. I.

“…Data assimilation (DA) is integrated with machine learning in order to perform entirely data‐driven online state estimation. To achieve this, recurrent neural…”
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Improved variational methods in statistical data assimilation by Ye, J., Kadakia, N., Rozdeba, P. J., Abarbanel, H. D. I., Quinn, J. C.

“…Data assimilation transfers information from an observed system to a physically based model system with state variables x(t). The observations are typically…”
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Spike-Timing-Dependent Plasticity of Inhibitory Synapses in the Entorhinal Cortex by Haas, Julie S, Nowotny, Thomas, Abarbanel, H.D.I

“…1 Institute for Nonlinear Science and 2 Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography), University of California,…”
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Symplectic structure of statistical variational data assimilation by Kadakia, N., Rey, D., Ye, J., Abarbanel, H. D. I.

“…Data assimilation variational principles (4D‐Var) exhibit a natural symplectic structure among the state variables x(t) and ẋ(t). We explore the implications…”
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Dynamical encoding by networks of competing neuron groups: winnerless competition by Rabinovich, M, Volkovskii, A, Lecanda, P, Huerta, R, Abarbanel, H D, Laurent, G

“…Following studies of olfactory processing in insects and fish, we investigate neural networks whose dynamics in phase space is represented by orbits near the…”
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Nonlinear stability analysis of stratified fluid equilibria by Abarbanel, H. D. I., Holm, D. D., Marsden, Jerrold Eldon, Ratiu, T. S.

“…Nonlinear stability is analysed for stationary solutions of incompressible inviscid stratified fluid flow in two and three dimensions. Both the Euler equations…”
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Rate maintenance and resonance in the entorhinal cortex by Haas, Julie S., Kreuz, Thomas, Torcini, Alessandro, Politi, Antonio, Abarbanel, H. D. I.

“…Throughout the brain, neurons encode information in fundamental units of spikes. Each spike represents the combined thresholding of synaptic inputs and…”
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Robustness and enhancement of neural synchronization by activity-dependent coupling by Zhigulin, V P, Rabinovich, M I, Huerta, R, Abarbanel, H D I

“…We study the synchronization of two model neurons coupled through a synapse having an activity-dependent strength. Our synapse follows the rules of…”
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Regularization mechanisms of spiking–bursting neurons by Varona, P, Torres, J.J, Huerta, R, Abarbanel, H.D.I, Rabinovich, M.I

“…An essential question raised after the observation of highly variable bursting activity in individual neurons of Central Pattern Generators (CPGs) is how an…”
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Dynamics of two electrically coupled chaotic neurons: experimental observations and model analysis by Varona, P, Torres, J J, Abarbanel, H D, Rabinovich, M I, Elson, R C

“…Conductance-based models of neurons from the lobster stomatogastric ganglion (STG) have been developed to understand the observed chaotic behavior of…”
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Reliability and precision of neural spike timing: simulation of spectrally broadband synaptic inputs by Szűcs, A, Vehovszky, Á, Molnár, G, Pinto, R.D, Abarbanel, H.D.I

“…Spectrally broadband stimulation of neurons has been an effective method for studying their dynamic responses to simulated synaptic inputs. Previous studies…”
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Symplectic structure of statistical variational data assimilation: Symplectic Structure of Statistical Variational Data Assimilation by Kadakia, N., Rey, D., Ye, J., Abarbanel, H. D. I.

“…Not provided…”
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Variation of Lyapunov exponents on a strange attractor by Abarbanel, H. D. I., Brown, R., Kennel, M. B.

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Estimating the state of a geophysical system with sparse observations: time delay methods to achieve accurate initial states for prediction by An, Zhe, Rey, Daniel, Ye, Jingxin, Abarbanel, Henry D. I.

“…The problem of forecasting the behavior of a complex dynamical system through analysis of observational time-series data becomes difficult when the system…”
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Noise reduction in chaotic time series using scaled probabilistic methods by Marteau, P. F., Abarbanel, H. D. I.

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Richardson number criterion for the nonlinear stability of three-dimensional stratified flow by ABARBANEL, H. D. I, HOLM, D. D, MARSDEN, J. E, RATIU, T

“…With use of a method of Arnol'd, the necessary and sufficient conditions for the formal stability of a parallel shear flow in a three-dimensional stratified…”
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Local Lyapunov exponents computed from observed data by Abarbanel, H. D. I., Brown, R., Kennel, M. B.

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The analysis of observed chaotic data in physical systems by ABARBANEL, H. D. I, BROWN, R, SIDOROWICH, J. J, TSIMRING, L. S

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