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langbrainscore

imported

software/langbrainscore

[Marked for Deprecation. please visit https://github.com/brain-score/language for the migrated project] Benchmarking of Language Models using Human Neural and Behavioral experiment data

Machine-generated from the listed sources and not yet reviewed by a human.

langbrainscore project image
GitHub preview card for language-brainscore/langbrainscore. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
language-brainscore
Country
unknown
Homepage
language-brainscore.github.io/langbrainscore/
Repository
github.com/language-brainscore/langbrainscore
Documentation
unknown
Tags
cognitive-science · computational-neuroscience · fmri · language · language-model · neuroimaging · neuroscience · nlp
Regulatory
unknown
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    Hemispheric-Specific Brain Modeling and Analysis Based on Generative Adversarial Networks

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    Scripts we use for collecting and analyzing brain and behavior data on NeuroFusion

  • BrainDiVEcomputational-neuroscience · fmri

    Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)

  • ABC_neuroimagingfmri · neuroimaging · neuroscience

    A sample neuroimaging pipeline for the fMRI data collected by the Aging Brain Cohort.

  • BayesFactorFMRIfmri · neuroimaging · neuroscience

    BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with…

sources
  1. api.github.com/repos/language-brainscore/langbrainscore
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2022-11-01, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/31.json→ .entries["langbrainscore"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.