International Brain Laboratory

According to our database, International Brain Laboratory authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms.

Ari Blau, Evan S. Schaffer, Neeli Mishra, Nathaniel J. Miska, International Brain Laboratory, Liam Paninski, Matthew R. Whiteway

CoRR, 2024

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution.

Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang, Mehdi Azabou, Blake A. Richards, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Liam Paninski, Cole L. Hurwitz

CoRR, 2024

Parsing neural dynamics with infinite recurrent switching linear dynamical systems.

Victor Geadah, International Brain Laboratory, Jonathan W. Pillow

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

Matthew R. Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, Estefany Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J. Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E. Urai, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski

PLoS Comput. Biol., 2021

Decentralized Motion Inference and Registration of Neuropixel Data.

Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski

Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring learning trajectories with dynamic infinite hidden Markov models.

Sebastian A. Bruijns, International Brain Laboratory, Peter Dayan

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking.

Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice.

Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020