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GitHub / snel-repo / expressive-latent-dynamics-paper

Code to reproduce experiments from Sedler, A, Versteeg, C, Pandarinath, C. "Expressive architectures enhance interpretability of dynamics-based neural population models". Neurons, Behavior, Data analysis, and Theory 2023.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/snel-repo%2Fexpressive-latent-dynamics-paper

Stars: 6
Forks: 1
Open issues: 0

License: apache-2.0
Language: Python
Size: 431 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: about 2 years ago
Last synced at: over 1 year ago

Topics: computational-neuroscience, deep-learning, dynamical-systems, recurrent-neural-networks

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