rutishauserlab / bmovie-release-NWB-BIDSLinks
Code for data analysis and visualization for the data descriptor "Multimodal brain responses during movie watching"
☆13Updated last year
Alternatives and similar repositories for bmovie-release-NWB-BIDS
Users that are interested in bmovie-release-NWB-BIDS are comparing it to the libraries listed below
Sorting:
- Voxelwise Encoding Model tutorials from the Gallant lab.☆83Updated last week
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆29Updated 4 months ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- 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
- ☆14Updated 4 years ago
- Code and analysis of the NSD large scale fMRI dataset☆30Updated last year
- Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"☆22Updated last year
- Starter code for the BOLDMoments fMRI video dataset☆17Updated last year
- Python library for Representational Similarity Analysis☆217Updated last week
- ☆18Updated 5 years ago
- python package to access the data of the NSD (natural scenes dataset) fMRI project☆48Updated 10 months ago
- Feature extraction, dimensionality reduction, model benchmarking.☆34Updated last year
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated 10 months ago
- Multiple-target linear models - CPU/GPU☆97Updated last week
- Towards large neural data models.☆30Updated 2 months ago
- ☆84Updated 2 weeks ago
- ☆29Updated 2 years ago
- Code accompanying data release of natural language listening fMRI data (LeBel et al.)☆64Updated last year
- ☆37Updated last year
- A toolbox for accurate single-trial estimates in fMRI time-series data☆125Updated 2 weeks ago
- Tutorial codes for modeling brains with neural nets☆234Updated 4 years ago
- Models and simulations for state space composition☆23Updated 9 months ago
- Trained encoding models to generate in silico neural responses for arbitrary stimuli.☆30Updated last month
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Updated 7 years ago
- Data and code for the Algonauts Project 2025 challenge.☆56Updated last week
- A Python Toolbox for Multimode Neural Data Representation Analysis☆61Updated 3 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Code related to the Natural Scenes Dataset data paper☆64Updated 2 weeks ago
- ☆81Updated 3 years ago