Henry D.I. ABARBANEL

Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography), University of California, San Diego, La Jolla, CA 92037 (USA)

http://inls.ucsd.edu/~hdia/

Henry works on nonlinear problems in problems of Physics and Biological Physics. His interests are in properties of nonlinear systems that have direct influence on measurements and predictions of the behavior of such systems. His interests have ranged from fluid dynamics to optical physics to neurobiological networks.

Using experimental data to estimate the states of models of neural circuits

The talk at this Experimental Chaos Conference will address how one can bring information from laboratory measurements and field observations into nonlinear models of those systems. This entails a path integral formulation of the problem that then connects it to the extensive body of work in statistical physics and opens new ways to think about this critical aspect of our scientific inquiry. The application of the methods to neurobiology and numerical weather prediction will be discussed.

Quinn, J. C., P. H. Bryant, D. R. Creveling, S. R. Klein, and H. D. I. Abarbanel, ``State and Parameter and State Estimation of Experimental Chaotic Systems Using Synchronization,'' Physical Review E, 80 016201 (2009).

Gibb, L. T. Q. Gentner, and H. D. I. Abarbanel, ``Inhibition and Recurrent Excitation in a Computational Model of Sparse Bursting in Song Nucleus HVC,'' Journal of Neurophysiology (2009) Jun 10. [Epub ahead of print]

Gibb, L. T. Q. Gentner, and H. D. I. Abarbanel, ``Brainstem Feedback in a Computational Model of Birdsong Sequencing,'' Journal of Neurophysiology (2009) Jun 24. [Epub ahead of print]

Abarbanel, H. D. I., ``Effective actions for statistical data assimilation,'' Physics Letters A, 373, 4044-4048 (2009). doi:10.1016/j.physleta.2009.08.072

Abarbanel, H. D. I., M. Kostuk, and W. Whartenby, ``Data Assimilation with Regularized Nonlinear Instabilities," accepted in Quarterly Journal of the Royal Meteorological Society, February, 2010.

Quinn, J. and H. D. I. Abarbanel, ``State and Parameter Estimation using Monte Carlo Evaluation of Path Integrals,'' submitted to Quarterly Journal of the Royal Meteorological Society, December, 2009.