Brian Fischer, Ph.D
Building/Room: BANN 419
Frequently Taught Classes
MATH 1210: Statistics for Life Sciences, MATH 2310: Probability & Statistics for Science & Engineering, MATH 3411: Probability, MATH 3450: Introduction to Numerical Methods
B.J. Fischer, J.L. Pena. “Optimal nonlinear cue integration for sound localization.” Journal of
Computational Neuroscience. (2016) doi:10.1007/s10827-016-0626-4
F. Cazettes, B.J. Fischer, J.L. Pena. “Cue reliability represented in the shape of tuning curves in the owl's sound localization system.” Journal of Neuroscience. (2016) 36: 2101-2110.
W. Cox, B.J. Fischer. "Optimal prediction of moving sound source direction in the owl." PLoS Comput Biol 11(7): e1004360. (2015) doi:10.1371/journal.pcbi.1004360
D. Rich, F. Cazettes, Y. Wang, J.L. Pena, B.J. Fischer. “Neural representation of probabilities for Bayesian inference.” Journal of Computational Neuroscience. (2015) doi: 10.1007/s10827-014- 0545-1
Dr. Fischer has been on faculty at Seattle University since 2011. He has a B.A. in Mathematics from Illinois Wesleyan University and a Doctor of Science in Systems Science & Mathematics from Washington University in St. Louis. His research is in computational neuroscience, with a focus on sound localization. His research has been published in Nature, Nature Neuroscience, and Proceedings of the National Academy of Sciences. Since joining Seattle University, Dr. Fischer has been a PI on two National Institutes of Health R01 grants totaling more than $4.8 million. He regularly advices students in research projects and two of his students have been first authors on journal publications.