Neural Circuits and Algorithms

Flatiron Institute, Center for Computational Neuroscience

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
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 Simocelliā€™s 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!