E-Cell System is an object-oriented software suite for modelling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components, driven by multiple algorithms with different timescales, to coexist. The core library is written in C++ with a Python binding, and frontend software uses Python.
Brook for GPUs is a compiler and runtime implementation of the Brook stream programming language for modern graphics hardware. The goals for this project are to demonstrate general purpose programing on GPUs, to provide a useful tool for developers who want to run applications on GPUs, and to research the stream language programming model, streaming applications, and system implementations.
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.
Teem is a software framework for conducting artificial evolution experiments. It particular, it provides lots of facilities for evolutionary robotics. It can be combined with a variety of libraries and programs to form a powerful platform for anything from evolution of simple Braitenberg behaviour to complex steady state evolutionary experiments involving groups of robots.
ChangeBlindness is a small game that demonstrates the change blindness phenomenon. The effect shows that our brains have a low-level (i.e. subconscious) change detection capability that can be disabled pretty easily (for instance, with a flicker of around 100ms). The game illustrates this using an increasing number of icons, one of which will change during a flicker. The goal of the game is to find the changing icon as quickly as possible.
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.