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Eva L Dyer

Showing results (11-20 of 30) with videos related to

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International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|October 9, 2023
Learning signatures of decision making from many individuals playing the same gameMichael J Mendelson, Mehdi Azabou, Suma Jacob, et al.
Arxiv|March 3, 2023
Learning signatures of decision making from many individuals playing the same gameMichael J Mendelson, Mehdi Azabou, Suma Jacob, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 2, 2018
Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine InterfacesChethan Pandarinath, K Cora Ames, Abigail A Russo, et al.
Arxiv|December 11, 2025
Know Thyself by Knowing Others: Learning Neuron Identity from Population ContextVinam Arora, Divyansha Lachi, Ian J Knight, et al.
Nature Biomedical Engineering|April 25, 2019
A cryptography-based approach for movement decodingEva L Dyer, Mohammad Gheshlaghi Azar, Matthew G Perich, et al.
Proceedings of Machine Learning Research|October 9, 2023
Half-Hop: A graph upsampling approach for slowing down message passingMehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, et al.
Advances in Neural Information Processing Systems|December 5, 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural ActivityRan Liu, Mehdi Azabou, Max Dabagia, et al.
Cell Reports|March 30, 2023
Transcriptomic cell type structures in vivo neuronal activity across multiple timescalesAidan Schneider, Mehdi Azabou, Louis McDougall-Vigier, et al.
Arxiv|November 14, 2023
A Unified, Scalable Framework for Neural Population DecodingMehdi Azabou, Vinam Arora, Venkataramana Ganesh, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
A non-oscillatory, millisecond-scale embedding of brain state provides insight into behaviorDavid F Parks, Aidan M Schneider, Yifan Xu, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
International IEEE/EMBS Conference on Neural Engineering : [Proceedings]. International IEEE EMBS Conference on Neural Engineering|October 9, 2023
Learning signatures of decision making from many individuals playing the same gameMichael J Mendelson, Mehdi Azabou, Suma Jacob, et al.
Arxiv|March 3, 2023
Learning signatures of decision making from many individuals playing the same gameMichael J Mendelson, Mehdi Azabou, Suma Jacob, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 2, 2018
Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine InterfacesChethan Pandarinath, K Cora Ames, Abigail A Russo, et al.
Arxiv|December 11, 2025
Know Thyself by Knowing Others: Learning Neuron Identity from Population ContextVinam Arora, Divyansha Lachi, Ian J Knight, et al.
Nature Biomedical Engineering|April 25, 2019
A cryptography-based approach for movement decodingEva L Dyer, Mohammad Gheshlaghi Azar, Matthew G Perich, et al.
Proceedings of Machine Learning Research|October 9, 2023
Half-Hop: A graph upsampling approach for slowing down message passingMehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, et al.
Advances in Neural Information Processing Systems|December 5, 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural ActivityRan Liu, Mehdi Azabou, Max Dabagia, et al.
Cell Reports|March 30, 2023
Transcriptomic cell type structures in vivo neuronal activity across multiple timescalesAidan Schneider, Mehdi Azabou, Louis McDougall-Vigier, et al.
Arxiv|November 14, 2023
A Unified, Scalable Framework for Neural Population DecodingMehdi Azabou, Vinam Arora, Venkataramana Ganesh, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
A non-oscillatory, millisecond-scale embedding of brain state provides insight into behaviorDavid F Parks, Aidan M Schneider, Yifan Xu, et al.
Pageof 3