Center for Theoretical Neuroscience at Columbia

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

Muscinelli S., Wagner M., Litwin-Kumar A. (2022)
Optimal routing to cerebellum-like structures View, bioRxiv. doi: 10.1101/2022.02.10.480014

Engelken R, Ingrosso A, Khajeh R, Goedeke S, Abbott LF (2022)
Input correlations impede suppression of chaos and learning in balanced rate networks, ArXiv:2201.09916 [q-bio.NC].

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.

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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