1 code implementation • 2 Aug 2017 • Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Kording
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods.
2 code implementations • NeurIPS 2021 • Cole Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
These approaches, however, are limited in their ability to capture the underlying neural dynamics (e. g. linear) and in their ability to relate the learned dynamics back to the observed behaviour (e. g. no time lag).
no code implementations • 19 May 2022 • Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
Classification of consistent versus unfamiliar neurons across sessions and accounting for deviations in the order of consistent recording neurons in recording datasets over sessions of recordings may then maintain decoding performance.