athms / learning-from-brains
Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.
☆99Updated last year
Alternatives and similar repositories for learning-from-brains:
Users that are interested in learning-from-brains are comparing it to the libraries listed below
- Code related to the Natural Scenes Dataset data paper☆61Updated last month
- Voxelwise Encoding Model tutorials from the Gallant lab.☆78Updated 3 weeks ago
- ☆99Updated last month
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior☆44Updated 8 months ago
- ☆38Updated 9 months ago
- an end to end framework for analyzing fMRI time-series data (4D) using transformers☆46Updated 3 years ago
- Code related to analyzing the Natural Scenes Dataset☆38Updated 5 months ago
- Code for preprocessing data for the Naturalistic viewing EEG FMRI data release from NKI☆36Updated 2 years ago
- Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"☆22Updated last year
- Use DNNs to build encoding models of EEG visual responses.☆78Updated last month
- Official code release for BOLD5000 Release 2.0☆30Updated 3 years ago
- A toolbox for accurate single-trial estimates in fMRI time-series data☆116Updated this week
- Code and analysis of the NSD large scale fMRI dataset☆30Updated 11 months ago
- A Python Toolbox for Multimode Neural Data Representation Analysis☆63Updated 3 years ago
- Methods for studying dynamic functional brain activity in neuroimaging data.☆66Updated this week
- python package to access the data of the NSD (natural scenes dataset) fMRI project☆46Updated 5 months ago
- [ICLR 2023] Code for BrainBERT☆52Updated 3 months ago
- Starter code for the BOLDMoments fMRI video dataset☆16Updated 9 months ago
- Pytorch implementation of 'Representation Learning of Resting State fMRI with Variational Autoencoder'☆30Updated 3 years ago
- ☆29Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆63Updated 3 weeks ago
- A pipeline to automatically preprocess, analyze and visualize resting state EEG data.☆53Updated 2 months ago
- Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by F…☆125Updated last year
- A handbook for EEG data analysis based on Python☆58Updated last year
- Language Generation from Brain Recordings☆24Updated last month
- ☆34Updated last month
- Dictionary of Functional Modes for brain imaging☆23Updated 4 years ago
- Automagic☆101Updated last month
- Code accompanying data release of natural language listening fMRI data (LeBel et al.)☆59Updated last year
- ☆36Updated 7 months ago