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Ph.D., Stanford University
Research Interests
My main interest is in spike train data analysis, both for single trains and multiple simultaneously recorded neurons. For single spike trains, I have studied diffusion approximations to various integrate-and-fire models, with particular emphasis on the fitting of models to data, comparing the fits of several models, and refining the diffusion approximations. For multiple spike trains, my main interest is in graphical displays such as the snowflake plot and gravitational clustering, along with exploratory methods to find structure in such data.
Recent Publications
- Iyengar S: The analysis of multiple neural spike trains. Advances in Methodological and Applied Aspects of Probability and Statistics, N Balakrishnan, ed, Gordon and Breach: 507-524, 2001.
- Birmaher B, Brent DA, Kolko D, Baugher M, Bridge J, Iyengar S, Ulloa RE: Clinical outcome after short-term psychotherapy for adolescents with major depressive disorder. Arch Gen Psychiatry 57: 29-36, 2000.
- Iyengar S: Diffusion models for neural activity. Statistics for the 21st Century: Methodologies for Applications of the Future, CR Rao, G Szekely, eds, Marcel-Dekker: 233-250, 2000.
- Iyengar S, Liao Q: Modeling neural activity using the generalized inverse Gaussian distribution. Biol Cybern 77: 289-295, 1997.
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