## Sam Behseta

### PROJECT AFFILIATION:

- TASEL-M Phase 2
- Roles: Faculty Partner

- Transforming Academic and Cultural Identidad through Biliteracy
- Roles: Co-PI

- Access: Project Admin, Project Contact

### PROFESSIONAL ROLES

- Higher Ed: Mathematics, Researcher

### BIO

Dr. Behseta is a statistician with research interests in Bayesian statistics, statistics in neuroscience, Bayesian functional data analysis, probabilistic watermarking, and biostatistics.### EXPERTISE

Bayesian Statistics

### RECENT PUBLICATIONS

Kottas T., Behseta S., Moorman D.E., Poynor V., and Olson, C.R. (2012), Bayesian Nonparametric Analysis of Neuronal Intensity Rates, Journal of Neuroscience Methods, 203, pp. 241-253

Behseta, S., Chenouri, S. (2011), Comparison of Two Population of Curves with an Application in Neuronal Data Analysis, Statistics in Medicine, 30 1441-1454.

McMillen T., Simen P., and Behseta S. (2011), Hebbian learning in linear-nonlinear networks with tuning curves leads to near-optimal, multi-alternative decision making Neural Networks, Neural Networks, 24, issue 5, 417-426.

Kottas, A., and Behseta, S. (2010), Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities, Biometrics, 66, 277-286.

McMillen T, Behseta S. (2010), On the effects of signal acuity in a multi-alternative model of decision making, Neural Computation, 22, No. 2, Pages 539-580.

Simen P., McMillen T., and Behseta S. (2010), Hebbian learning for deciding optimally among many alternatives (almost), Proceedings of the 2010 meeting of the Cognitive Science Society, 1816-1821.