athms / learning-from-brainsLinks
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.
☆103Updated 2 years ago
Alternatives and similar repositories for learning-from-brains
Users that are interested in learning-from-brains are comparing it to the libraries listed below
Sorting:
- Code related to the Natural Scenes Dataset data paper☆64Updated 5 months ago
- Code related to analyzing the Natural Scenes Dataset☆44Updated 9 months 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
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior☆51Updated last year
- Code for preprocessing data for the Naturalistic viewing EEG FMRI data release from NKI☆45Updated last month
- ☆114Updated 2 months ago
- Automagic☆104Updated last month
- ☆42Updated last year
- Voxelwise Encoding Model tutorials from the Gallant lab.☆83Updated 4 months ago
- Use DNNs to build encoding models of EEG visual responses.☆88Updated 5 months ago
- This is the NeurIPS BEETL repository (https://beetl.ai)☆35Updated 2 years ago
- Code accompanying data release of natural language listening fMRI data (LeBel et al.)☆64Updated last year
- an end to end framework for analyzing fMRI time-series data (4D) using transformers☆49Updated 3 years ago
- Starter code for the BOLDMoments fMRI video dataset☆16Updated last year
- [ICLR 2023] Code for BrainBERT☆60Updated 7 months ago
- ☆42Updated 2 weeks ago
- EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…☆46Updated last year
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated 2 months ago
- Official code release for BOLD5000 Release 2.0☆32Updated 3 years ago
- ☆29Updated 2 years ago
- ☆35Updated last year
- Code and analysis of the NSD large scale fMRI dataset☆30Updated last year
- EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty☆45Updated 3 years ago
- Code for the paper "A high-performance speech neuroprosthesis"☆171Updated 2 months ago
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆30Updated 4 years ago
- ☆40Updated 6 months ago
- A pipeline to automatically preprocess, analyze and visualize resting state EEG data.☆54Updated 6 months ago
- Towards large neural data models.☆29Updated last month
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆69Updated 4 months ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆70Updated 3 years ago