Eric L. Denovellis#
About me#
I am a computational research scientist in Dr. Loren Frank’s lab at UCSF. My work focuses on developing scalable, interpretable algorithms and tools to decode, categorize and visualize neural representations – particularly in the hippocampus. This work extends and applies marked point process switching state space models I developed during my postdoc with Dr. Uri T. Eden. I work closely with experimental collaborators to ensure these algorithms and tools are usable on large scale data.
Previously, I completed my Ph.D. in computational neuroscience at Boston University with Drs. Daniel H. Bullock and Earl K. Miller. There I developed computational tools and models to understand how prefrontal cortex supports the underlying neural comptuations necessary to switch between contexts. Specifically:
I showed how synchronous network oscillations in the prefrontal cortex provide a mechanism to flexibly coordinate context representations between groups of neurons during task switching.
I used generalized additive models to show that anterior cingulate neurons can represent context, but do not play a significant role in switching between contexts.
Finally, I developed a set of web-enabled interactive visualization tools designed to provide a multi-dimensional integrated view of electrophysiological datasets (See RasterVis and SpectraVis).
Contact Me: Email | Twitter | Github | LinkedIn | Instagram | ORCID ID
Education#
Ph.D. in Computational Neuroscience, Boston University
Advisor: Daniel H. Bullock, Ph.D.; Co-mentor: Earl K. Miller, Ph.D.
Thesis Committee: Helen Barbas, Ph.D., David Somers, Ph.D., Uri T. Eden, Ph.D.
B.S. in Mathematics, University of California, Santa Barbara
B.A. in Philosophy, University of California, Santa Barbara
CV#
Here is my CV.