akhambhati / niftyelectrodemapper Goto Github PK
View Code? Open in Web Editor NEWCreate electrode layout configurations on cortical surface
Create electrode layout configurations on cortical surface
Nifty Electrode Mapper ====================== The Nifty Electrode Mapper (NEM)is a member of the Nifty Visualization Toolbox that enables manual placement and arrangement of visual electrode, or channel, markers onto three-dimensional surface rendering of brain. This tool was designed to ease the planning and mapping of electrode topography onto patient brain and specifically caters to the interests of researchers and clinicians. INSTALLATION ============ The Nifty Visualization Toolbox and all accompanying tools are developed in python. OS compatability includes Linux, MAC OS X, and Microsoft Windows with the following additional requirements: # Python 3 - Unsupported # Python 2.7 - The following external packages need to be included in the default python path: * NumPy (Ver 2.0) * SciPy (Ver 0.11) * wxPython (Ver 2.8) * NiBabel (Ver 1.1) USAGE ===== NEM currently contains a no-frills, simplistic work environment. Features are subject to change as the software proceeds in development. Currently, only NIfTI (*.nii) file-types are supported. Initializing NEM from command-line: $ python NiftyElecMap.py "path-to-nii-file.nii" NEM will start with a three-dimensional environment with specified brain volume rendered at the center of the window. Mouse Functionality: - Left-click --- Rotation - Right-click --- Zooming and Scaling - Middle-click --- Position/Place electrode channel marker - Right-click (while above a marker) --- Remove marker representation Once electrode channels have been positioned, user can simply take a screenshot of the rendered brain using the "Print Screen" key. AUTHOR ====== Feel free to send comments and bug reports to the author. Here is the author's latest mail address: [email protected] ------------------------------------------------------------------------------- LAST UPDATED: January 6, 2012 07:01 AM
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.