by Jonathan Pillow Papers

6 papers found

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Conference

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Paper Type

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Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks

Anushri Arora, Jonathan Pillow

Flexible inference for animal learning rules using neural networks

Yuhan Helena Liu, Victor Geadah, Jonathan Pillow

NEURIPS 2025oral

Flow-field inference from neural data using deep recurrent networks

Timothy Doyeon Kim, Thomas Luo, Tankut Can et al.

Modeling Neural Activity with Conditionally Linear Dynamical Systems

Victor Geadah, Amin Nejatbakhsh, David Lipshutz et al.

NEURIPS 2025oralarXiv:2502.18347

Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems

Orren Karniol-Tambour, David Zoltowski, E. Mika Diamanti et al.

Parsing neural dynamics with infinite recurrent switching linear dynamical systems

Victor Geadah, International Brain Laboratory, Jonathan Pillow