We are excited to release the standings of our triannual Hall of Fame! This Hall of Fame recognizes neuroimaging labs that have shared the most datasets between May and August, 2019. If you have data you would like to share, please consider sharing it on OpenNeuro!

1st place: Stanford Vision and Neuro-Development Lab

The Stanford Vision and Neuro-Development Lab led by Prof. Anthony Norcia has shared 3 datasets: Dr. Norcia is a Professor (Research) in the Psychology department at Stanford University. The Stanford Vision and Neuro-Development Lab is interested in the interaction between visual experience and the structure and function of the brain.

2nd place (tied): Botvinick Lab

The Botvinick Lab led by Prof. Matthew Botvinick has shared 2 datasets: Dr. Botvinick is the Director of Neuroscience Research at DeepMind and an Honorary Professor in the Gatsby Computational Neuroscience Unit at University College London. Dr. Botvinick is interested in reinforcement learning.

Cohen Lab

The Cohen Lab led by Prof. Noga Cohen has shared 2 datasets: Dr. Cohen is in the Special Education department at the University of Haifa. The Cohen Lab is interested in cognition and emotional regulation interactions and training.

Grandjean Lab

The Grandjean Lab led by Prof. Joanes Grandjean has shared 2 datasets: Dr. Grandjean is an Assistant Professor in the departments of Radiology and Nuclear Medicine and Cognitive Neuroscience at Radboud University. The Grandjean Lab is interested in using rodent high-field MR imaging and other imaging modalities to study the dynamics of large-scale neuronal networks in animal models of affective and neurodegenerative disorders.

Brain, Language, and Computation Lab

The Brain, Language, and Computation Lab led by Prof. Ping Li has shared 2 datasets: Dr. Li is a Professor of Psychology, Linguistics, & Information Sciences & Technology, Co-Director at the Center for Brain, Behavior, and Cognition, and the Associate Director at the Institute for CyberScience at Pennsylvania State University. The Brain, Language, and Computation Lab is interested in understanding the neural and computational bases of language representation and learning.

Turk-Browne Lab

The Turk-Browne Lab led by Prof. Nicholas Turk-Browne has shared 2 datasets: Dr. Turk-Browne is a Professor of Psychology at Yale University. The Turk-Browne lab is interested in perception, attention, learning, memory, and how these domains interact.

If you are interested, we have a google sheet that captures the metadata for every public dataset, which was used to construct this list. If we have missed something, please let us know! If your lab has historical data, consider sharing and help your lab be part of our next Hall of Fame rankings! If you have any questions please feel free to reach out to Franklin (ffein@stanford.edu)