
Brain-Score
@brain_score
The Brain-Score platform aims to yield computational models of how the brain gives rise to the mind. Benchmarks (neural+behavioral along with SOTA brain models
ID: 1446121881044619284
http://www.brain-score.org 07-10-2021 14:35:16
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15/ These are only some of the directions we are currently exploring that stem from having brain-aligned models of machine vision (e.g. see Brain-Score), so if you are a small/medium/large business or research lab and would like to work with us, also let us know!


2/4 But can't neuro up its contribution via large-scale datasets of neural responses on tasks that AI isn't yet good at? These can be either benchmarks (as in Brain-Score) or as optimization targets (cool progress from Leila Wehbe Machine Learning Dept. at Carnegie Mellon & co using cvnlab's NSD dataset).





This year, we want to convert the existing data, hunches, and anecdotes into quantifiable frustration and pain for the models and modelers. Let's disrupt the rankings and iteratively progress towards more robust models of vision. Please join Martin Schrimpf and me (Kohitij Kar)

The 2024 Brain-Score Benchmarking Competition is now officially part of the CogCompNeuro schedule. We will announce winners as part of the CCN conference -- only 1.5 months left to submit your benchmark!





Please join us tomorrow at 2 pm at Sala de Puerto Rico at MIT for CogCompNeuro 2024 Community event. We will have talks from the winners of the Brain-Score benchmarking competition (brain-score.org/competition/), open discussions about the scope and future of such platforms and


It was an honour to be invited to present our research at CogCompNeuro @ MIT. Thanks to the Brain-Score organizers Martin Schrimpf Kohitij Kar for the prize, and shout out to my collaborators Hans Op de Beeck and Stefania Bracci for making this possible! #CCN2024


All the benchmarks from the Brain-Score Benchmarking Competition CogCompNeuro are now live on brain-score.org/vision. Huge thanks again to all who submitted! We're looking forward to new models improving on those benchmarks