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Advances in Neural Information Processing Systems|July 30, 2026
Flexible inference for animal learning rules using neural networksYuhan Helena Liu, Victor Geadah, Jonathan Pillow
Biorxiv : the Preprint Server for Biology|November 19, 2025
Inferring learning rules during de novo task learningVictor Geadah, Jonathan W Pillow
Biorxiv : the Preprint Server for Biology|November 28, 2024
Modeling Complex Animal Behavior with Latent State Inverse Reinforcement LearningAditi Jha, Victor Geadah, Jonathan W Pillow
Neuron|March 7, 2002
Perceptual completion across the vertical meridian and the role of early visual cortexJonathan Pillow, Nava Rubin
Plos Computational Biology|December 13, 2024
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularizationVictor Geadah, Stefan Horoi, Giancarlo Kerg, et al.
Progress in Brain Research|October 11, 2007
Statistical models for neural encoding, decoding, and optimal stimulus designLiam Paninski, Jonathan Pillow, Jeremy Lewi
Arxiv|March 10, 2025
Modeling Neural Activity with Conditionally Linear Dynamical SystemsVictor Geadah, Amin Nejatbakhsh, David Lipshutz, et al.
Neural Computation|October 9, 2024
Sparse-Coding Variational AutoencodersVictor Geadah, Gabriel Barello, Daniel Greenidge, et al.
Arxiv|December 4, 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEsJames Hazelden, Yuhan Helena Liu, Eli Shlizerman, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Inferring neural dynamics of memory during naturalistic social communicationRich Pang, Christa Baker, Mala Murthy, et al.
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