Mathematical Neuroscience

Related Faculty

Michael Buice
Affiliate Associate Professor
Associate Investigator, Allen Institute for Brain Science
Adrienne L. Fairhall
Adjunct Professor
Professor of Physiology and Biophysics
J. Nathan Kutz
Professor
Stefan Mihalas
Affiliate Professor
Investigator, Allen Institute for Brain Science
Eric T. Shea-Brown
Professor
Eli Shlizerman
Associate Professor

Latest News

Neuroscience Research Leads to Satisfying Collaborations
(August 25, 2016)

Related Research

Liu, Y.H., Smith, S., Mihalas S., Shea-Brown E., Sumbul U., “Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators”, Advances in Neural Information Processing Systems, 2022.
Liu, Y.H., Ghosh A., Richards B. A., Shea-Brown E., Lajoie G., “Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules”, Advances in Neural Information Processing Systems, 2022.
Liu, Y.H., Smith, S.J., Mihalas S., Shea-Brown E., Sumbul U., “Cell-type–specific neuromodulation guides synaptic credit assignment in a spiking neural network”, Proceedings of the National Academy of Sciences, 2021.
Liu, Y.H., Smith, S.J., Mihalas S., Shea-Brown E., Sumbul U., “A solution to temporal credit assignment using cell-type-specific modulatory signals”, bioRxiv, 2020.
Liu, Hexuan, Jimin Kim, and Eli Shlizerman. "Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Caenorhabditis elegans." Philosophical Transactions of the Royal Society B: Biological Sciences 373.1758 (2018): 20170377.
Liu, Y.H., Baratin A., Cornford J., Mihalas S., Shea-Brown E., Lajoie G., “How connectivity structure shapes rich and lazy learning in neural circuits”, International Conference on Learning Representations (ICLR), 2024 (accepted).