fmri-data-analysis
There are 4 repositories under fmri-data-analysis topic.
andrewjahn / AndysBrainBook
This repository contains the files that generate Andy's Brain Book on ReadTheDocs.
- Language:C 157
- fMRI_data_analysis
akcarsten / fMRI_data_analysis
Python code explaining how to display structural and functional fMRI data.
Language:Jupyter Notebook 91 markallenthornton / MatlabTFCE
Standalone MATLAB implementation of permutation TFCE correction
Language:MATLAB 42carpentries-incubator / SDC-BIDS-fMRI
fMRI Imaging Analysis
Language:Jupyter Notebook 40peterlipan / ASD_GP_GCN
ASD diagnosis on ABIDE I
Language:Python 40- automated-explanations
microsoft / automated-explanations
Explain a black-box module in natural language.
Language:HTML 32 - Language:Python 31
kundaMwiza / fMRI-site-adaptation
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
Language:HTML 31cankocagil / Cognitive-Computational-Modelling-for-Spatio-Temporal-fMRI-in-Ventral-Temporal-Cortex
Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their recorded brain activity in fMRI form
Language:Jupyter Notebook 17lrq3000 / csg_mri_pipelines
MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness
Language:Jupyter Notebook 17phildean / SPM_fMRI_Example_Pipeline
Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
Language:MATLAB 14jcdemunck5 / DMS_Projects
These C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance modelling, image fusion, triangular meshes, KD-trees, topological error correction, marching cubes & spherical triangulations, sparse matrices and matrix operations, spherical harmonics, wavelets, spectra and spectrograms, Fast Fourier transform (FFTWest), data import for many different EEG/MEG data formats, data import for many image data formats.
- nndbLanguage:Shell 13
- Language:Python 13
elayden / MRIqual
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
Language:MATLAB 12- NIfTI-Studio
A toolbox for NIfTI and Analyze medical image visualization, editing, and 3D rendering
Language:MATLAB 10 - khbm-winterschool-2022
egyptdj / khbm-winterschool-2022
[KHBM] Winter School 2022 - Neuroimage Data Analysis using Python and Graph Neural Networks
Language:Jupyter Notebook 9 weikanggong / BWAS
A Python software package for BWAS
Language:Python 9yueyu1030 / DABNet
This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.
Language:Python 9- Language:HTML 8
ALFA-group / code-representations-ml-brain
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
Language:Python 7- AutismBrainSVM
biotechlibrary / AutismBrainSVM
This code repository contains a collection of Python scripts for classifying autistic and control conditions using Support Vector Machines (SVM), leveraging preprocessed functional MRI (fMRI) data from the ABIDE dataset.
Language:Python 7 gustavopamplona / Personode
Personode: a new toolbox for ICA map classification and individualized ROI definition
Language:MATLAB 6shubhe25p / Working-Memory-Demand-in-Social-Cognition
Estimate the demand of working memory in Social Cognition Tasks using HCP-fMRI dataset
Language:Jupyter Notebook 6hcherkaoui / pybold
Semi-blind deconvolution for fMRI (BOLD signal)
Language:Python 5- hemolearnLanguage:Python 5
SinaGhaffarzadeh / Functional-MRI-denoising-using-data-driven-multi-step-deep-neural-network
A novel method for sampling the active and noisy areas is proposed by using the purification of gray and non-gray matter areas of fMRI data. Also, a data-driven network is proposed in a parallel, multi-step and integrated manner for optimal noise reduction of t-fMRI data.
Language:Python 5mwegrzyn / fmri_python_SS2019
Kurs zu fMRT-Datenanalyse mit Python (Sommersemester 2019). Eigenständige Erstellung von MRT-Viewern und DIY-Analyse von fMRT-Zeitverläufen und Aktivierungskarten mit Python.
Language:Jupyter Notebook 4A Python software package for sKPCR
Language:Python 4dcdace / fMRI-COGNESTIC-23
Materials for the "fMRI analysis" workshop at the Cognitive Neuroscience Skills Training In Cambridge-2023 (COGNESTIC-2023).
Language:Jupyter Notebook 3don-tpanic / brain_data
Source code for brain data processing and analysis in paper <A controller-peripheral architecture and costly energy principle for learning>
Language:Python 3Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
Language:Python 3ME-ICA / multi-echo-data-analysis
Still a work in progress.
Language:TeX 3MLDataAnalytics / pNet
pNet is a Python package for computing personalized, sparse, non-negative large-scale functional networks from functional magnetic resonance imaging (fMRI) data, particularly resting state fMRI data.
Language:Python 3orhansoyuhos / Advanced-Hands-on-fMRI-Analysis-Class
This project is my final assignment for the Advanced Hands-on fMRI Analysis course during my master’s degree. It was a great experience! I applied multiclass decoding and representational similarity analysis to the fMRI data by using CoSMoMVPA toolbox.
Language:MATLAB 3
