Neural Circuits and Algorithms
Our goal is to understand how the brain analyzes large and complex datasets streamed by sensory organs in order to aid efforts at building artificial neural systems and treating mental illness.
We analyze experimental data, assembling connectomes from high-throughput electron microscopy and determining neuronal dynamics from calcium imaging and multi-electrode recordings. In addition, we are developing a novel algorithmic theory of neural computation.
News
May 1, 2024 | Phillip Greengard will be joining the NCA group |
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May 1, 2024 | David Lipshutz will be starting a lab at Baylor College of Medicine. Congratulations! |
Oct 1, 2023 | Joshua Pughe-Sanford, Ph.D., joins the group |
Apr 1, 2023 | Paper accepted in ICML. Collaboration with Eero Simocelliās group led by Lyndon Duong and David Lipshutz. Congrats! |
Apr 1, 2023 | Johannes Friedrich accepts a position at the Allen Institute for Brain Science. Congratulations! |