Sold by: International Brain Laboratory
Open data
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Deployed on AWS
BrainWideBench is a large-scale, multi-task benchmark for evaluating neural foundation models, derived from the International Brain Laboratory (IBL) Brainwide Map dataset. It contains preprocessed Neuropixels recordings from 139 mice spanning 276 brain regions during a standardized visual decision-making task. The benchmark is organized around three complementary task suites: behavioral decoding (TS1), neural activity prediction (TS2), and brain region identification (TS3). Data are processed into a standardized format using the torch_brain library and include spike-sorted neural recordings, behavioral signals (wheel movements, paw kinematics, whisker motion energy, lick detection), trial structure, stimulus parameters, and anatomical annotations. A strict animal-level train/evaluation split separates 126 pretraining animals (423 sessions) from 13 held-out evaluation animals (29 sessions), enabling reproducible evaluation of across-animal generalization.
Overview
BrainWideBench is a large-scale, multi-task benchmark for evaluating neural foundation models, derived from the International Brain Laboratory (IBL) Brainwide Map dataset. It contains preprocessed Neuropixels recordings from 139 mice spanning 276 brain regions during a standardized visual decision-making task. The benchmark is organized around three complementary task suites: behavioral decoding (TS1), neural activity prediction (TS2), and brain region identification (TS3). Data are processed into a standardized format using the torch_brain library and include spike-sorted neural recordings, behavioral signals (wheel movements, paw kinematics, whisker motion energy, lick detection), trial structure, stimulus parameters, and anatomical annotations. A strict animal-level train/evaluation split separates 126 pretraining animals (423 sessions) from 13 held-out evaluation animals (29 sessions), enabling reproducible evaluation of across-animal generalization.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Preprocessed benchmark data in HDF5 format, including spike-sorted neural recordings, behavioral signals, anatomical region labels, and quality-control metadata for all sessions. Organized by animal and session.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::brain-wide-bench
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://brain-wide-bench/
- Description
- Notifications for new brain-wide-bench data
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:842577843587:brain-wide-bench-sns
- AWS region
- us-east-1
Resources
Vendor resources
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How to cite
BrainWideBench - IBL Benchmark for Neural Foundation Models in Neuroscience was accessed on DATE from https://registry.opendata.aws/ibl-brain-wide-bench .
License
CC-BY 4.0
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