Brain Encoding Response Generator (BERG)
brain models computer vision deep learning life sciences machine learning neuroimaging neuroscience
Description
Brain Encoding Response Generator (BERG) is a resource consisting of multiple pre-trained encoding models of the brain and an accompanying Python package to generate accurate in silico neural responses to arbitrary stimuli with just a few lines of code.
Update Frequency
Updates will be released on a per-model or dataset basis as new models are trained and tested.
License
CC BY-NC 4.0. For Terms & Conditions, see https://brain-encoding-response-generator.readthedocs.io/en/latest/about/terms_and_conditions.html
Documentation
https://brain-encoding-response-generator.readthedocs.io/en/latest/index.html
Managed By
Neural Dynamics of Visual Cognition, CVAI
See all datasets managed by Neural Dynamics of Visual Cognition](https://www.ewi-psy.fu-berlin.de/en/psychologie/arbeitsbereiche/neural_dyn_of_vis_cog/index.html), [CVAI.
Contact
How to Cite
Brain Encoding Response Generator (BERG) was accessed on DATE from https://registry.opendata.aws/brain-encoding-response-generator. Please cite the Brain Encoding Response Generator using the format provided here https://brain-encoding-response-generator.readthedocs.io/en/latest/about/citation.html
Usage Examples
Tutorials
-
In-Silico EEG Data Tutorial by Alessandro Gifford
Amazon S3 -
In-Silico fMRI Data Tutorial by Alessandro Gifford
Amazon S3 -
Quickstart Tutorial by Domenic Bersch
Amazon S3
Tools & Applications
Publications
Resources on AWS
-
- Description
- Pre-trained neural encoding models
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::brain-encoding-response-generator- AWS Region
us-west-2- AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://brain-encoding-response-generator/- Explore
- Browse Bucket