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https://github.com/spm

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

Proper citation: SPM (RRID:SCR_007037) Copy   

•   Source: SciCrunch Registry

https://github.com/NOCIONS/letswave6/wiki/Download-and-setup

Open source electroencephalogram (EEG) signal processing toolbox to process and visualise EEG/MEG data and other neurophysiological signals.

Proper citation: Letswave (RRID:SCR_016414) Copy   

•   Source: SciCrunch Registry

https://www.mathworks.com/products/computer-vision.html

Software tool to provide algorithms, functions, and apps for designing and testing computer vision, 3D vision, and video processing systems for MATLAB. You can perform object detection and tracking, as well as feature detection, extraction, and matching. For 3D vision, toolbox supports single, stereo, and fisheye camera calibration; stereo vision; 3D reconstruction; and lidar and 3D point cloud processing. Computer vision apps automate ground truth labeling and camera calibration workflows.

Proper citation: Computer Vision System Toolbox (RRID:SCR_017581) Copy   

•   Source: SciCrunch Registry

https://github.com/zburkett/VoICE

Software that groups vocal elements of birdsong by creating a high dimensionality dataset through scoring spectral similarity between vocalizations.

Proper citation: Vocal Inventory Clustering Engine (VoICE) (RRID:SCR_016004) Copy   

•   Source: SciCrunch Registry

http://mtshasta.phys.washington.edu/website/SuperSegger.php

Software package as automated MATLAB based trainable image cell segmentation, fluorescence quantification and analysis suite. Used for high throughput time lapse fluorescence microscopy of in vivo bacterial cells. Robust image segmentation, analysis and lineage tracking of bacterial cells.

Proper citation: SuperSegger (RRID:SCR_018532) Copy   

•   Source: SciCrunch Registry

https://github.com/lucadellasantina/ObjectFinder

Software image analysis package for 3D object recognition in volumetric images developed for neuroscience research purposes. MATLAB application to recognize small structures in large volumetric image, plot their statistics and perform quantitative analysis such as nearest neighbor and colocalization analysis. Used to detect fluorescently labeled synapses in neuronal image stacks acquired using confocal or super resolution microscopes.

Proper citation: ObjectFinder (RRID:SCR_023319) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bvqxtools

A Matlab-based toolbox initially created for reading, writing, and processing of BrainVoyager (QX) files in Matlab.

Proper citation: NeuroElf (RRID:SCR_014147) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/aperture/

A MATLAB-based toolbox for analysis of EEG, MEG, and ECoG data. APERTURE allows flexible multivariate analysis of ERPs and oscillatory activity and supports mass-univariate analysis with advanced statistical tests. Computations are accelerated using parallel computing supported through the MATLAB distributed computing toolbox. Examination of large, high-dimensional datasets is made simple through data visualization tools, including advanced plotting routines and generation of PDF reports with many figures.

Proper citation: APERTURE (RRID:SCR_014082) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/vertex

A Matlab tool for simulating extracellular potential recordings in spiking neural network (SNN) models. VERTEX is designed to facilitate the simulation of extracellular potentials generated by activity in SNNs; in particular, spatially-organised networks containing thousands or hundreds of thousands of neurons. It has a limited scope but has a simpler user interface so that a simulation can be specified simply by setting some parameters and run using a few function calls.

Proper citation: Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX) (RRID:SCR_014178) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/csa-odf

A Matlab toolbox that computes the Q-Ball Imaging Orientation Distribution Function in Constant Solid Angle (CSA-ODF) for diffusion-weighted MRI.

Proper citation: Orientation Distribution Function in Constant Solid Angle (CSA-ODF) (RRID:SCR_014158) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/niistat/

A set of Matlab scripts for analyzing neuroimaging data from clinical populations. The NiiStat tools are designed to correlate behavioral data (task performance) with brain imaging data.

Proper citation: NiiStat (RRID:SCR_014152) Copy   

•   Source: SciCrunch Registry

http://mastrave.org

A software library written to perform vectorized scientific computing and oriented to ease complex modelling tasks such as those typically needed within environmental models, even when involving irregular and heterogeneous data series. The Mastrave project attempts to allow a more effective, quick interoperability between GNU Octave and Matlab users by using a well documented wrap around the main incompatibilities between those computing environments and by promoting a general idiom based on their common, stable syntagms.

Proper citation: Mastrave modelling library (RRID:SCR_014399) Copy   

•   Source: SciCrunch Registry

http://research.ics.aalto.fi/ica/icasso/

Software implementing a method for assessing both the algorithmic and statistical reliability of estimated independent components developed by Himburg et al in their 2004 paper. The method is based on running the ICA algorithm many times with slightly different conditions and visualizing the clustering structure of the obtained components in the signal space. In experiments with magnetoencephalographic (MEG) and functional magnetic resonance imaging (fMRI) data, the method was able to show that expected components are reliable; furthermore, it pointed out components whose interpretation was not obvious but whose reliability should incite the experimenter to investigate the underlying technical or physical phenomena.

Proper citation: ICASSO (RRID:SCR_014981) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/gftbox/

Analysis software for analysis of finite elements and simulations of 3D shape changes in a tissue that result from patterns of growth. It works with Matlab to model biological growth of leaves, petals, and similar organs.

Proper citation: GrowthToolbox (RRID:SCR_015754) Copy   

•   Source: SciCrunch Registry

https://trendscenter.org/software/

Software toolbox which finds and displays temporal relations amongst components. This can help determine causal relations in the brain.

Proper citation: Functional Network Connectivity (FNC) (RRID:SCR_015731) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/mixge/

MATLAB Toolbox which provides a mixed effect model for gene-environment interaction (MixGE) on neuroimaging phenotypes, such as structural volumes and tensor-based morphometry (TBM). This model incorporates both fixed and random effects of genetic-set and environment interaction in order to investigate homogeneous and heterogeneous contributions of sets of genetic variants and their interactions with environmental risks to phenotypes.

Proper citation: Mixed Effect Model of Genetic-Set and Environment Interaction (RRID:SCR_015514) Copy   

•   Source: SciCrunch Registry

https://nxr.northwestern.edu/digital-rat

Software for a 2D elastic beam model that can be used to model quasistatic bending of the vibrissa to compute forces and bending moments at the base. Elastica2D is part of the Digital Rat software project that that aims to enable morphologically and mechanically accurate modelling of the rat head and vibrissal (whisker) array.

Proper citation: Elastica2D (RRID:SCR_015858) Copy   

•   Source: SciCrunch Registry

https://omictools.com/rnacompete-tool

Method for the systematic analysis of RNA binding specificities that uses a single binding reaction to determine the relative preferences of RBPs for short RNAs that contain a complete range of k-mers in structured and unstructured RNA contexts. RNAcompete identifies expected and previously unknown RNA binding preferences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RNAcompete (RRID:SCR_015900) Copy   

•   Source: SciCrunch Registry

http://microbetracker.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone. Software for bacterial microscopy image analysis. It is designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.

Proper citation: MicrobeTracker (RRID:SCR_015939) Copy   

•   Source: SciCrunch Registry

https://github.com/brain-life/encode

Software that implements a framework to encode structural brain connectomes into multidimensional arrays (tensors). Encoding Connectomes provides an agile framework for computing over connectome edges and nodes.

Proper citation: Linear Fascicle Evaluation (RRID:SCR_016153) Copy   

•   Source: SciCrunch Registry