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.
The Whole Brain Catalog is a 3D virtual environment to facilitate solutions for currently intractable challenges in brain research. It is meant to enable the synthesis of data measured from brains at different scales into more coherent models of brain structure and function. The Whole Brain Catalog is a client-server platform that provides rich 3D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. A 3D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations.
Evolving Games for Unnatural Intelligence is a Java package for unsupervised machine learning based on Evolutionary Game Theory on directed graphs. It is able to segment data without any previuos information on the number of segments. It has no GUI, but implements generalizations of the original method proposed by Li, Chen, He and Jiang in the arxiv paper "A Novel Clustering Algorithm Based Upon Games on Evolving Network", published on 30 Dec 2008.
PSIworld (Programmable Scalable Interactive World) is a framework that provides a set of libraries, utilities, and applications to ease the implementation of dynamic artificial intelligence environments. Specifically, the development of multi-agent applications is targeted. It is designed in a generic manner so that various kinds of applications can use it. This framework not only includes pure algorithm libraries for AI computation tasks, but also a C/C++ library for distributed computation. A server-client model also involves various, concurrent visualization methods of distinct Agents or Societies.
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.
BinarySEC is an intelligent Web application firewall designed to suppress malicious traffic on Web sites and applications. Its artificial intelligence engine learns normal traffic and blocks malicious requests with very high accuracy. BinarySEC secures against a wide range of attacks, including cross-site scripting (XSS), SQL injection, command injection, PHP includes, parameter tampering, buffer overflow, directory traversal, attack obfuscation, and more. BinarySEC for Apache includes a graphical installer and a Web-based administration interface.
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.