{"url":"/dataset/brain-score","name":"Brain-Score","full_name":null,"description_markdown":"The Brain-Score platform aims to yield strong computational models of the ventral stream. We enable researchers to quickly get a sense of how their model scores against standardized brain benchmarks on multiple dimensions and facilitate comparisons to other state-of-the-art models. At the same time, new brain data can quickly be tested against a wide range of models to determine how well existing models explain the data.\r\n\r\nBrain-Score is organized by the Brain-Score team in collaboration with researchers and labs worldwide. We are working towards an easy-to-use platform where a model can easily be submitted to yield its scores on a range of brain benchmarks and new benchmarks can be incorporated to challenge the models.\r\n\r\nThis quantified approach lets us keep track of how close our models are to the brain on a range of experiments (data) using different evaluation techniques (metrics). For more details, please refer to the [technical paper](https://www.biorxiv.org/content/early/2018/09/05/407007) and the [perspective paper](https://www.cell.com/neuron/fulltext/S0896-6273(20)30605-X).","description_withheld":null,"homepage":"http://www.brain-score.org","introduced_date":"2018-09-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/brain-score-which-artificial-neural-network","title":"Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?","first_author":"Martin Schrimpf","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Brain-Score"],"data_loaders":[],"num_papers_in_archive":45,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}