Getting Started with Brain Simulator II

Overview:

Welcome! And thanks for downloading the Brain Simulator II: The Open-Source AGI Research toolkit! We hope you enjoy the program and learn about neuron simulation and AGI, and we welcome suggestions, comments, and developer participation. This page will help start you on your way

Brain Simulator II allows experimentation with many different algorithms. The source code download includes many features which are previews of future abilities, The objectives are detailed in the book, Will Computers Revolt? which you can download FREE here.

Getting Started:

BASIC: BrainSim networks are like documents—you can load them, edit them, save them, etc. Many display “Notes” which display automatically explaining each network and how to use it. You can drag your mouse from a neuron to create a synapse. You can drag your mouse from between neurons to selection a selection.

THE SAMPLE NETWORKS: Try these sample networks to explore various features of the Brain Simulator II . You can open these sample network files from the File | Library.

Networks relating to neurons and neural modeling:

BasicNeurons—illustrates the simplest neuron models.
HebbianSynapses—demonstrates the various synapse models and shows how spike-timing-dependent plasticity can be used for memory.
ColorIdentifier—demonstrates how Hebbian synapses can be harnessed to recognize patterns presented as the color of a rate-encoded signal.

Networks relating to modules and components of AGI:

SimVision—shows Sallie's simulated environment and vision with binocular depth perception.
Imagination—shows how Sallie's internal mental model can be used for imagination.
BabyTalk—learns to speak by trial-and-error learning.
Maze—shows navigation using landmarks as a child might.
Sallie—is an end-to-end AGI model using hearing, vision, and knowledge to learn the meanings of a few words.
Recognition—fleshes out the process of receiving visual input, recognizing shapes and relationships, and association words.

Networks relating to future sevelopment:

CameraTest---uses the camera on your computer to set neuron signals.
SpeechTest—uses speech-recognition and synthesis.
3DSim—demonstrates the 3D simulator under development.
NeuralGraph—demonstrates how a mathematical graph can be implemented in neurons controlled by a module.
ObjectMotion—demonstrates how Sallie can move objects in her environment.