Center for Theoretical Neuroscience at Columbia

Papers and research supported in part or in whole by The Swartz Foundation

Engelken, R., Wolf, F. and Abbott, L.F. (2021)
Quantifying dynamic stability and signal propagation: Lyapunov spectra of chaotic recurrent neural networks, 2020 Conference on the Mathematical Theory of Deep Learning.

V. Esmaeili, K. Tamura, S. Muscinelli, A. Modirshanechi, M. Boscaglia, A. B. Lee, A. Oryshchuk, G. Foustoukos, Y. Liu, S. Crochet, W. Gerstner, C. Petersen (2021)
Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response, Neuron, in press.

R. Engelken, F. Wolf, and L. F. Abbott (2020)
Lyapunov Spectra of Chaotic Recurrent Neural Networks, ArXiv:2006.02427 [Nlin, q-Bio].

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