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International Brain Laboratory

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2020 – today

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2021
[j1]
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  dblp key:
  - journals/ploscb/WhitewayBFDBWZB21
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  persistent URL:
  - https://dblp.org/rec/journals/ploscb/WhitewayBFDBWZB21
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:
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. 17(9) (2021)
[c4]
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  - electronic edition @ escholarship.org (open access)
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  dblp key:
  - conf/cogsci/BruijnsLD21
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  - https://dblp.org/rec/conf/cogsci/BruijnsLD21
Sebastian A. Bruijns, International Brain Laboratory, Peter Dayan:
Exploring learning trajectories with dynamic infinite hidden Markov models. CogSci 2021
[c3]
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  dblp key:
  - conf/icassp/VarolBDWULCSP21
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  - https://dblp.org/rec/conf/icassp/VarolBDWULCSP21
Erdem Varol, Julien Boussard, Nishchal Dethe, Olivier Winter, Anne E. Urai, International Brain Laboratory, Anne Churchland, Nick Steinmetz, Liam Paninski:
Decentralized Motion Inference and Registration of Neuropixel Data. ICASSP 2021: 1085-1089
2020
[c2]
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  - electronic edition @ neurips.cc (open access)
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  dblp key:
  - conf/nips/SchaefferKMLF20
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  - https://dblp.org/rec/conf/nips/SchaefferKMLF20
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete:
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS 2020
[c1]
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  dblp key:
  - conf/nips/WuBWSMNRENSMSAB20
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  - https://dblp.org/rec/conf/nips/WuBWSMNRENSMSAB20
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:
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 2020

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