glioi / BIDS_fMRI_analysis_nipype
Analysis pipeline for fMRI (and structural) images in BIDs format
☆17Updated 5 years ago
Alternatives and similar repositories for BIDS_fMRI_analysis_nipype:
Users that are interested in BIDS_fMRI_analysis_nipype are comparing it to the libraries listed below
- ☆35Updated 6 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- ☆21Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆70Updated 8 months ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- CNN classifier to classify MI-EEG signals☆47Updated 5 years ago
- Implementation of EEG signal classification.☆49Updated 8 years ago
- ☆20Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆56Updated last year
- ☆32Updated 4 years ago
- 使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.☆82Updated 2 months ago
- Public fNIRS dataset☆33Updated last year
- A collection of workshop materials.☆33Updated 5 years ago
- The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation …☆19Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 7 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆11Updated 3 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆91Updated 2 years ago
- ☆43Updated 5 years ago
- implementation of FBCSP algorithm☆25Updated 5 years ago
- Deep learning model for EEG artifact removal☆63Updated 2 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 6 years ago
- Matlab code for SBLEST algorithm☆39Updated 10 months ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆109Updated last year
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆89Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆137Updated last year
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆165Updated 2 years ago