Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
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
A multi-modal multivariate pattern analysis of neuroimaging data in Matlab / GNU Octave. Links to examples, exercises, and information for developers are available on the main page.
Proper citation: CoSMoMVPA (RRID:SCR_014519) Copy
http://fmri.uib.no/index.php?option=com_content&view=article&id=53&Itemid=78
Software package as a set of Matlab tools which allow the correction of fMRI-related gradient artifacts from EEG data. Designed to work within the EEGLAB environment, providing a GUI to remove fMRI gradient artifacts from the EEG. Can also be used from the Matlab command line, providing expert users with the ability to use them in custom scripts.
Proper citation: The Bergen fMRI Toolbox Plugin for EEGLab (RRID:SCR_016335) Copy
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
http://download.ant-neuro.com/matlab/
Software as an EEGLAB tool used for LIBEEP recordings.
Proper citation: Libeep EEGLAB plugin (RRID:SCR_016334) Copy
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
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.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within NIF that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
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.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
