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Marine Schimel
Title
Cited by
Cited by
Year
iLQR-VAE: control-based learning of input-driven dynamics with applications to neural data
M Schimel, TC Kao, KT Jensen, G Hennequin
The Tenth International Conference on Learning Representations, 2022
192022
When and why does motor preparation arise in recurrent neural network models of motor control?
M Schimel, TC Kao, G Hennequin
bioRxiv, 2023.04. 03.535429, 2023
32023
Models of neural circuits as optimally driven dynamical systems
M Schimel
12024
Learning interpretable control inputs and dynamics underlying animal locomotion
TS Mullen, M Schimel, G Hennequin, CK Machens, M Orger, A Jouary
The Twelfth International Conference on Learning Representations, 2024
12024
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Articles 1–4