GENESIS (short for GEneral NEural SImulation System) is a general purpose simulation platform that was developed to support the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, simulations of large networks, and systems-level models. It was developed as a research tool to provide a standard and flexible means for constructing structurally realistic models of biological neural systems.
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.
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.
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.
OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.
libperceptronnetwork is a library that models a multilayer feedforward perceptron network, a well-known and understood type of neural network. It can be used for a large number of recognition and categorization tasks. Besides providing the standard propagation and backpropagation algorithms, the library also provides variations to the backpropagation algorithm, such as optional weight-decay, momentum-term and optimal-tolerance methods. It comes with a handy programmers reference manual and two examples.