919 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS27 papers
- Harvard UniversityUS7 papers
- Institute of Cognitive and Brain SciencesUS7 papers
- Chinese Institute for Brain ResearchCN5 papers
- Tsinghua UniversityCN4 papers
- Beijing Academy of Artificial IntelligenceCN3 papers
- Beijing Normal UniversityCN3 papers
- Columbia UniversityUS3 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS3 papers
- IIT@MITUS3 papers
- Italian Institute of TechnologyIT3 papers
- University of California, BerkeleyUS3 papers
4 papers · 1 filter
Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators
Rylan Schaeffer, Mikail Khona, Sanmi Koyejo +1
Work on deep learning-based models of grid cells suggests that grid cells generically and robustly arise from optimizing networks to path integrate, i.e., track one's spatial posit…
On Learning the Optimal Regularization Parameter in Inverse Problems
Jonathan Chirinos Rodriguez, Ernesto De Vito, Cesare Molinari +2
Selecting the best regularization parameter in inverse problems is a classical and yet challenging problem. Recently, data-driven approaches have become popular to tackle this chal…
An F-ratio-Based Method for Estimating the Number of Active Sources in MEG
Amita Giri, John C. Mosher, Amir Adler +1
Magnetoencephalography (MEG) is a powerful technique for studying the human brain function. However, accurately estimating the number of sources that contribute to the MEG recordin…
Joint cortical registration of geometry and function using semi-supervised learning
Jian Li, Greta Tuckute, Evelina Fedorenko +3
Brain surface-based image registration, an important component of brain image analysis, establishes spatial correspondence between cortical surfaces. Existing iterative and learnin…