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 166
- fMRI_data_analysis
akcarsten / fMRI_data_analysis
Python code explaining how to display structural and functional fMRI data.
Language:Jupyter Notebook 95 - automated-explanations
microsoft / automated-explanations
Generating and validating natural-language explanations.
Language:HTML 46 carpentries-incubator / SDC-BIDS-fMRI
fMRI Imaging Analysis
Language:Jupyter Notebook 42markallenthornton / MatlabTFCE
Standalone MATLAB implementation of permutation TFCE correction
Language:MATLAB 42- Language:Python 33
kundaMwiza / fMRI-site-adaptation
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
Language:HTML 33cankocagil / 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 20lrq3000 / csg_mri_pipelines
MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness
Language:Jupyter Notebook 18jcdemunck5 / 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.
phildean / SPM_fMRI_Example_Pipeline
Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis
Language:Matlab 14- Language:Python 14
- nndbLanguage:Shell 13
elayden / MRIqual
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
Language:MATLAB 12yueyu1030 / DABNet
This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.
Language:Python 12- NIfTI-Studio
A toolbox for NIfTI and Analyze medical image visualization, editing, and 3D rendering
Language:MATLAB 10 - 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 9 - Language:HTML 9
- 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 9ALFA-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 8shubhe25p / Working-Memory-Demand-in-Social-Cognition
Estimate the demand of working memory in Social Cognition Tasks using HCP-fMRI dataset
Language:Jupyter Notebook 7gustavopamplona / Personode
Personode: a new toolbox for ICA map classification and individualized ROI definition
Language:MATLAB 6MLDataAnalytics / 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 6SinaGhaffarzadeh / 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 6hcherkaoui / pybold
Semi-blind deconvolution for fMRI (BOLD signal)
Language:Python 5- hemolearnLanguage:Python 5
mwegrzyn / 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 4seannoah / nma2020-HCP-project
This is our Neuromatch Academy 2020 computational neuroscience summer school group project.
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 3- algonauts2023-image-fMRI-encoding-model
giocoal / algonauts2023-image-fMRI-encoding-model
Code for my Master's Thesis "Deep Neural Encoding Models of the Human Visual Cortex to Predict fMRI Responses to Natural Visual Scenes" and my submission for the "Algonauts Project 2023 Challenge".
Language:Python 3 orhansoyuhos / 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
