Eric L. Denovellis, Ph.D.
Affiliations: | 2003-2007 | Mathematics | University of California, Santa Barbara, Santa Barbara, CA, United States |
| 2003-2007 | Philosophy | University of California, Santa Barbara, Santa Barbara, CA, United States | |
| 2009-2016 | Computational Neuroscience | Boston University, Boston, MA, United States | |
| 2019- | University of California, San Francisco, San Francisco, CA |
Area:
Computational Neuroscience, Hippocampus, Prefrontal CortexWebsite:
https://www.edenovellis.comGoogle:
"Eric L. Denovellis"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Daniel Bullock | grad student | 2009-2016 | Boston University |
| Earl K. Miller | grad student | 2009-2016 | |
| Uri T. Eden | post-doc | 2016-2019 | Boston University |
| Mark A. Kramer | post-doc | 2016-2019 | Boston University |
| Loren Frank | research scientist | 2019- | UCSF |
Collaborators
Sign in to add collaborator| Anna K. Gillespie | collaborator | ||
| Abhilasha Joshi | collaborator |
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Publications
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| Guidera JA, Gramling DP, Comrie AE, et al. (2024) Regional specialization manifests in the reliability of neural population codes. Biorxiv : the Preprint Server For Biology |
| Lee KH, Denovellis E, Ly R, et al. (2024) Spyglass: a data analysis framework for reproducible and shareable neuroscience research. Biorxiv : the Preprint Server For Biology |
| Joshi A, Denovellis EL, Mankili A, et al. (2023) Dynamic synchronization between hippocampal representations and stepping. Nature |
| Denovellis EL, Gillespie AK, Coulter ME, et al. (2021) Hippocampal replay of experience at real-world speeds. Elife. 10 |
| Gillespie AK, Astudillo Maya DA, Denovellis EL, et al. (2021) Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice. Neuron |
| Denovellis EL, Frank LM, Eden UT. (2020) Characterizing hippocampal replay using hybrid point process state space models 2019 53rd Asilomar Conference On Signals, Systems, and Computers |
| Buschman TJ, Denovellis EL, Diogo C, et al. (2012) Synchronous oscillatory neural ensembles for rules in the prefrontal cortex. Neuron. 76: 838-46 |