Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 1 showing 1 ~ 20 out of 109 results
Snippet view Table view Download 109 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_001622

    This resource has 10000+ mentions.

http://www.mathworks.com/products/matlab/

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

Proper citation: MATLAB (RRID:SCR_001622) Copy   


http://strfpak.berkeley.edu

STRFPak is a Matlab toolbox for estimating the linear and nonlinear stimulus-response mapping function of sensory systems. This mapping function is commonly called the spatio- or spectro-temporal receptive field (STRF). A quantitative estimate of the STRF can be used in subsequent computational modeling studies or to predict future responses of the system. STRFPak implements several general STRF estimation techniques and can be used with any stimuli (including natural scenes and sounds). The theoretical basis for STRF estimation has been known for some time, but estimation software has not been widely available. This project aims to develop appropriate software and make it available to the wider community of sensory neuroscientists. Although STRFPak is based on established methods it incorporates two important innovations. First, STRFPak can be used to characterize a sensory system from its response to arbitrary stimuli including natural signals (e.g., vocalizations, natural scenes). Second, STRFPak incorporates several methods for estimating nonlinear STRFs. STRFPak also includes tutorial examples and documentation.

Proper citation: Spatio- Spectro- Temporal Receptive Field (RRID:SCR_007995) Copy   


  • RRID:SCR_022474

    This resource has 1+ mentions.

https://github.com/fangzcbio/DeePVP

Software tool for identification and classification of phage virion proteins using deep learning.

Proper citation: DeePVP (RRID:SCR_022474) Copy   


https://gramian.de

Software for empirical gramians for model reduction of (nonlinear) input-output systems.

Proper citation: Empirical Gramian Framework (RRID:SCR_015043) Copy   


  • RRID:SCR_027022

    This resource has 1+ mentions.

https://www.car-net.org/tools

Software function as Matlab implementation of the TFA as specified in the White Paper (2015). An example of use on the supplied data (tfa_sample_data.txt) is given in tfa_demo.m and results are reported at the end of this report.

Proper citation: CARNet TFA Function (RRID:SCR_027022) Copy   


  • RRID:SCR_024747

    This resource has 1+ mentions.

https://uk.mathworks.com/help/deeplearning/ug/deep-learning-in-matlab.html

Software application provides simple MATLAB commands for creating and interconnecting layers of deep neural network.

Proper citation: Deep Learning Toolbox (RRID:SCR_024747) Copy   


  • RRID:SCR_003560

    This resource has 1+ mentions.

https://github.com/automaticanalysis/automaticanalysis

Integration framework for major open source packages in neuroimaging including SPM, FSL, FreeSurfer, EEGLAB, and Fieldtrip. Efficient neuroimaging workflows and parallel processing using Matlab and XML. Addresses challenges of processing multimodal datasets, like combining anatomy, functional MRI, diffusion, and EEG, to yield integrated views of brain. Allows to design, execute, and share pipelines utilizing multiple open source packages. Supports parallelized execution to address challenges of large cohort studies and provides quality control offering group statistics and reporting facilities to help identify outlier subjects and erroneous processing steps.

Proper citation: Automatic Analysis (RRID:SCR_003560) Copy   


  • RRID:SCR_004849

    This resource has 1000+ mentions.

https://www.fieldtriptoolbox.org

Software toolbox for analysis of MEG, EEG, and other electrophysiological data. Used by experimental neuroscientists.

Proper citation: FieldTrip (RRID:SCR_004849) Copy   


  • RRID:SCR_005972

    This resource has 100+ mentions.

http://martinos.org/mne/

Software suite for processing magnetoencephalography and electroencephalography data. Open source Python software for exploring, visualizing, and analyzing human neurophysiological data including MEG, EEG, sEEG, ECoG . Implements all functionality of MNE Matlab tools in Python and extends capabilities of MNE Matlab tools to, e.g., frequency-domain and time-frequency analyses and non-parametric statistics.

Proper citation: MNE software (RRID:SCR_005972) Copy   


  • RRID:SCR_001761

    This resource has 500+ mentions.

http://neuroimage.usc.edu/brainstorm/

Software as collaborative, open source application dedicated to analysis of brain recordings: MEG, EEG, fNIRS, ECoG, depth electrodes and animal invasive neurophysiology. User-Friendly Application for MEG/EEG Analysis.

Proper citation: Brainstorm (RRID:SCR_001761) Copy   


  • RRID:SCR_015001

    This resource has 100+ mentions.

https://www.vicon.com/products/software/nexus

Data capture software for use with Vicon motion capture system. Its features include MATLAB integration, Python pre-installed, customized workflow, and automated quality assessment.

Proper citation: Nexus (RRID:SCR_015001) Copy   


  • RRID:SCR_015741

    This resource has 100+ mentions.

https://github.com/EIN-lab/CHIPS

Image processing software designed to analyse functional images of cells and blood vessels, primarily from two-photon microscopy. CHIPS is a set of classes and functions for MATLAB that integrates a number of algorithms, both novel and existing, into a complete image processing pipeline.

Proper citation: CHIPS (RRID:SCR_015741) Copy   


  • RRID:SCR_015632

https://github.com/kristinbranson/BABAM

Graphical user interface for exploring hypotheses of correlations between neural activity in regions of the brain and behavior for Drosophila melanogaster. These correlation hypotheses are the result of our thermogenetic neural activation screen from the Janelia GAL4 collection.

Proper citation: BABAM (RRID:SCR_015632) Copy   


  • RRID:SCR_015673

    This resource has 10+ mentions.

http://www.spisop.org

Software for detection and reporting of spindle or slow oscillation events, simple automatic EMG artifacts, and their co-occurance or respective matching non-events. SpiSOP was designed to process large data quanta at once and multiple datasets in parallel.

Proper citation: SpiSOP (RRID:SCR_015673) Copy   


  • RRID:SCR_015533

    This resource has 50+ mentions.

http://fmatoolbox.sourceforge.net

Matlab toolbox used to help analyze electrophysiological and behavioral data recorded from freely moving animals.

Proper citation: FMAToolbox (RRID:SCR_015533) Copy   


  • RRID:SCR_015869

    This resource has 10+ mentions.

http://www.rutishauserlab.org/osort

Framework for spike sorting that includes tools for pre-processing, spike detection, spike sorting, and sorting quality evaluation. It is principally designed for sorting of single-wire microwire recordings in humans, but is being used for other types of recordings as well.

Proper citation: OSort (RRID:SCR_015869) Copy   


  • RRID:SCR_016003

    This resource has 10+ mentions.

http://soundanalysispro.com/

Software for birdsong analysis that performs automated recording and analysis of animal vocalization. It can record, analyze and manage sound data over prolonged periods.

Proper citation: Sound Analysis Pro (RRID:SCR_016003) Copy   


https://git.io/vymwn

A Matlab adapter class and user interface to control the Reglo ICC peristaltic pump provided by Ismatec.

Proper citation: Reglo ICC control with Matlab (RRID:SCR_016353) Copy   


  • RRID:SCR_014142

    This resource has 1+ mentions.

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

A Matlab-based tool for computational neuroscience-based analysis and data visualization. Its features include: surface mesh visualization in PLY, PIAL, NV, STL,VTK, and GIFTI formats; conversion of NIfTI voxel images to surface meshes and saving as PLY or VTK; track (TRK files) visualization; connectome data (BrainNet Viewer .node and .edge files) visualization; intuitive GUI; that availability of all functions available in the GUI through scripting (automated scripts can be created); and exporting of rendered image as bitmap.

Proper citation: MRIcroS (RRID:SCR_014142) Copy   


  • RRID:SCR_014115

    This resource has 1+ mentions.

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

Software Matlab toolbox for directed functional connectivity analysis of fMRI BOLD signal from predefined regions of interest. It recovers true structure of connections and estimates weights attributed to each connection. Obtains patterns at group and individual levels.

Proper citation: GIMME (RRID:SCR_014115) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within dkNET that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X