tknapen / nsd_accessLinks
python package to access the data of the NSD (natural scenes dataset) fMRI project
☆48Updated 10 months ago
Alternatives and similar repositories for nsd_access
Users that are interested in nsd_access are comparing it to the libraries listed below
Sorting:
- Code related to analyzing the Natural Scenes Dataset☆44Updated 9 months ago
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior☆52Updated last year
- Code and analysis of the NSD large scale fMRI dataset☆30Updated last year
- Starter code for the BOLDMoments fMRI video dataset☆17Updated last year
- Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by F…☆133Updated 2 years ago
- Trained encoding models to generate in silico neural responses for arbitrary stimuli.☆30Updated last month
- ☆29Updated 2 years ago
- ☆84Updated 2 weeks ago
- Data and code for the Algonauts Project 2025 challenge.☆56Updated last week
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Code related to the Natural Scenes Dataset data paper☆65Updated 2 weeks ago
- ☆14Updated 4 years ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆29Updated 4 months ago
- Official code release for BOLD5000 Release 2.0☆32Updated 3 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
- ☆18Updated 5 years ago
- Self-Supervised RGBD Reconstruction from Brain Activity☆27Updated 3 years ago
- Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"☆41Updated 3 years ago
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆104Updated 2 years ago
- Feature extraction, dimensionality reduction, model benchmarking.☆34Updated last year
- Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun h…☆161Updated 11 months ago
- [Algonauts 2023] PyTorch implementation of "Memory Encoding Model"☆58Updated last year
- Code accompanying data release of natural language listening fMRI data (LeBel et al.)☆64Updated last year
- Voxelwise Encoding Model tutorials from the Gallant lab.☆83Updated last week
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆68Updated last week
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated 10 months ago
- Code for data analysis and visualization for the data descriptor "Multimodal brain responses during movie watching"☆13Updated last year
- Use DNNs to build encoding models of EEG visual responses.☆90Updated 6 months ago
- Multiple-target linear models - CPU/GPU☆97Updated last week
- A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)☆154Updated this week