Search Results for "fmri windows"
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Showing 20 open source projects for "fmri windows"
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MetaTransformer
Meta-Transformer for Unified Multimodal Learning
We're thrilled to present OneLLM, an ensembling Meta-Transformer framework with Multimodal Large Language Models, which performs multimodal joint training, supports more modalities including fMRI, Depth, and Normal Maps, and demonstrates very impressive performances on 25 benchmarks. -
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CamBA is a Linux package for statistical analysis, by script/GUI, of neuroimaging data (fMRI/sMRI), developed at the Brain Mapping Unit, University of Cambridge. Non-parametric permutation-based statistics. Input images: 4D NiFTI files, output: HTML/
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Matlab toolbox for surface-based voxel selection, intended for fMRI multi-voxel pattern analysis (MVPA) information mapping of the cerebral cortex
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds). The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing... -
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The NIDB provides storage, retrieval, and processing of neuroinformatics data. The system is mainly designed for imaging data, such as fMRI and EEG, but data of any type can be associated with a subject through all storage and analysis steps.
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The neuroimaging in python (NIPY) project is an environment for the analysis of structural and functional neuroimaging data. It currently has a full system for general linear modeling of functional magnetic resonance imaging (fMRI).
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mfBox
A Matlab toolbox for performing model-free analysis of fMRI data
The mfBox is a Matlab toolbox for performing model-free analysis of multivariate data sets. It also plugs into SPM used for the analysis of multivariate brain recordings such as fMRI, SPECT and PET data sets. This project is looking for a new maintainer! -
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There is the toolbox of implementing a mehod for consistent group indepent component analysis for functional magnetic resonance imaging.
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While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.
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The R2AGUI converts MRI data from the raw PHILIPS PAR/REC format to the popular ANALYZE 7.5 format or the newer Nifti 1.0 format, which is used in SPM (Software package for fMRI post-processing). It has an easy to use interface, and can batch process man
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BrainFX, a customization of GenericFX for the field for functional Magnetic Resonance Imaging (fMRI). It defines java classes, data hierarchy and data standard for the field of fMRI.
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FMR Eyetrack
SPM Plugin to estimate point of gaze from fMRI data (eyetracking)
FMR Eyetrack is a SPM plugin that allows to directly estimate the point of gaze from the functional MRI data without the help of a dedicated eye tracker. I am no longer working in this field. If anyone wants to pick up this project, please contact me. -
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CCA-fMRI is a SPM-toolbox (http://www.fil.ion.ucl.ac.uk/spm/) for detecting brain activity pattern using functional magnetic resonance imaging (fMRI) in combination with canonical correlation analysis.
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MATLAB tools to create overlay images from NIfTI or ANALYZE files (neuroimaging format) and convert them to DICOM for use in the clinical environment. Allows radiologists and neurosurgeons easy access to fMRI data. http://paradime.net/research/
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The AMC Postprocessing Package is a program developed at the Academic Medical Center in Amsterdam. It allows readings and writing of the DICOM format, and also supports the Analyze format. Currently, perfusion and fMRI analysis are implemented.
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A framework for analysis and visualization of functional connectivity as well as temporal ordering based on fMRI data recorded from human brain.
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ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.
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