44 projects tagged "Neuroscience"
Updated 07 Jun 2008
Neural Network Framework
| Pop | 91.39 |
|---|---|
| Vit | 5.07 |
Neural Network Framework is a C++ framework to develop, simulate, and analyze arbitrary complex neural networks. The programmer can use the classes provided to create neural networks with arbitrary topology and mixed type of neurons. It's very easy to add customized neurons and layers.
Updated 15 Jan 2008
DTI-Query
| Pop | 13.04 |
|---|---|
| Vit | 1.49 |
Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter pathways within the human brain. Combining DTI data with the computational methods of MR tractography, neuroscientists can estimate the locations and sizes of nerve bundles (white matter pathways) that course through the human brain. DTI-Query allows neuroscientists to place and interactively manipulate box-shaped regions (or volumes of interest) to selectively display pathways that pass through specc anatomical areas.
Updated 23 Aug 2007
fmrii
| Pop | 31.18 |
|---|---|
| Vit | 1.00 |
A C++ library for fMRI modelling and analysis. It provides classes implementing the balloon model for hemodynamics, as well as other useful neural and experimental models.
Updated 05 Oct 2007
BWView
| Pop | 31.11 |
|---|---|
| Vit | 1.00 |
BWView is a recorded brain-wave viewing application. It is designed for getting a rapid visual understanding of recorded brain-wave data. It uses FFT-accelerated convolution to do the analysis.
Updated 06 Jan 2008
JAMF
| Pop | 12.25 |
|---|---|
| Vit | 44.33 |
JAMF is a framework for modeling human attention. It features a graphical interface (the client) that allows you to design simulations as graphs by connecting and parameterizing components. It also features a server that translates those graphs to C code and executes them.
Updated 13 May 2013
EDFbrowser
| Pop | 256.13 |
|---|---|
| Vit | 88.96 |
EDFbrowser is a multi-platform viewer for EEG, EMG, and ECG storage files. It supports the EDF, EDF+, BDF, and BDF+ file formats. It supports montages, annotations, precise measurements by using crosshairs, and a zoom function by drawing a rectangle with the mouse. It shows signals from different files at the same time. It includes a built-in EDF/EDF+/BDF/BDF+ to ASCII converter, a built-in Nihon Kohden to EDF+ converter (including annotations), a built in EDF+D to EDF+C converter, a BDF(+) to EDF(+) converter and a built-in EDF/EDF+/BDF/BDF+ compatibility checker.
Updated 09 Apr 2011
trad4
| Pop | 89.67 |
|---|---|
| Vit | 5.69 |
Trad4 is a fully concurrent, thread safe, graph based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk. Trad4 is proposed as an alternative to the Von Neumann model of computer architecture. It is a new way of arranging programs in memory and a new style of flow-of-control.
Updated 29 Sep 2010
Brain Workshop
| Pop | 122.57 |
|---|---|
| Vit | 6.16 |
Brain Workshop is an implementation of the Dual N-Back mental exercise. This exercise is a mental activity that has been scientifically shown to improve your working memory (short-term memory) and fluid intelligence. The game involves remembering a sequence of spoken letters and a sequence of positions of a square at the same time. Brain Workshop includes additional challenging game modes beyond Dual N-Back.
Updated 24 Apr 2013
Critterding
| Pop | 239.47 |
|---|---|
| Vit | 27.63 |
Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.
Updated 07 Feb 2010
PyMVPA
| Pop | 56.00 |
|---|---|
| Vit | 2.38 |
PyMVPA (Python MultiVariate Pattern Analysis) is a Python module intended to ease pattern classification analyses of large data sets. It provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms. While it is not limited to the neuroimaging domain, it is eminently suited for such data sets. It requires nothing but free software to run.
