Used machine learning methods to examine how multi-whisker stimuli are encoded in the mouse brain and to propose a possible encoding method. Presented research at Berkeley’s MCB poster session and the California Cognitive Science Conference, with a best presentation award at the former. I modeled neural firing rates as over-dispersed Poisson processes using negative binomial distributions.
This project was done as part of my honors thesis research in Daniel Feldman’s lab at UC Berkeley. You can find my poster here and my paper here