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Updated
Mar 11, 2022 - TypeScript
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A curated list of awesome neuroscience libraries, software and any content related to the domain.
The MATLAB toolbox for MEG, EEG and iEEG analysis
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
A publicly-editable collection of open computational neuroscience resources
Visualizer for large-scale and interactive ray-tracing of neurons
Neural networks toolbox focused on medical image analysis
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
A multi-purpose GPU-accelerated open-source suite for brain data visualization
A high level programming language that compiles into the brainfuck esoteric programming language
An esoteric programming language compiler on top of LLVM based on Brainfuck
3D super-resolution using Generative Adversarial Networks
Alzheimer's Disease Prediction by using ResNet, AlexNet
A terminal app written in Node.js to monitor brain signals in real-time
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
Advanced Normalization Tools in R
A suite of tools for medical image processing focused on brain analysis
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
Installing brainreg brings in 3.4GB of dependencies, as measured by my virtualenv folder's size. I see many things I don't think(?!) I need for a simple registration - e.g. ipython, jinja2, pyside2, sphinx, and napari. [I could be wrong here, of course.]
Might I suggest verifying what is needed, and perhaps having separate extras for some of this functionality? This could leave the core "pip
A lightweight python module to interact with atlases for systems neuroscience
Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)
A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
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Hi,
Very simple issue. When you start up HNN two windows appear ('param' and 'model schematics'), plus a little dialogue box that says 'Welcome to HNN! Default parameter file loaded. Press 'Run simulation' to display simulation output.' with a little 'run' button on it.
First time I started HNN that dialogue box opened offscreen, so I didn't know it was there. Because I didn't click 'run', n