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.
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.
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.
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.