Statement of Research Interests
نویسنده
چکیده
My main research interests involve the study of neural information processing, neural coding and information representation in biological systems. In particular I am interested in understanding information processing functions of neural ensemble activity and the biological mechanisms through which these functions are implemented. My current research concentrates on three basic aspects related to these issues: developing analytical tools and quantitative approaches to characterizing the neural representation of sensory stimuli; studying the statistical properties of natural sensory signals and their relations to biological sensory systems; and studying structure/function relations in biophysical models of neural systems. I plan to pursue these topics in the future as well. There are two principal goals which will continue to drive my research: I) to deeply understand the principles by which biological sensory systems operate; and II) to transfer these principles to engineered systems. Animal models that I currently use in my work are: the cricket cercal system (in collaboration with Drs. Miller and Jacobs at MSU), the visual systems of cat and macaque (in collaboration with Dr. Gray at MSU and Dr. Yen at NUS, Singapore) and rat vibrissal system (in collaboration with Dr. Azouz at Ben Gurion University and Dr. Jackie Schiller, Technion, Israel). My original training is in quantitative disciplines (Physics, Applied Mathematics, Mathematical Neurobiology). One of the most important goals which I achieved during my postdoctoral work at Dr. John Miller’s lab was to obtain sound training in neurophysiological and behavioral experimental methods and procedures. Since then I have continued to work in close collaboration with experimentalists, being closely involved in experimental design, data collection and analysis. The mathematical tools that I apply to achieve these goals come mostly from branches of applied probability (information theory, signal processing theory, stochastic differential equations), dynamical systems theory and group theory. Many other branches of mathematics and statistics – optimization, operations research, and differential geometry being the ones I used most recently – are applicable in particular stages throughout my research
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