Neural network for learning, recognition and recall of pattern sequences

摘要

A sequence processor for rapidly learning, recognizing and recalling temporal sequences. The processor, called the Katamic system, is a biologically inspired artificial neural network based on a model of the functions of the cerebellum in the brain. The Katamic system utilizes three basic types of neuron-like elements with different functional characteristics called predictrons, recognitrons and bi-stable switches. The Katamic System is clock operated, processing input sequences pattern by pattern to produce an output pattern which is a prediction of the next pattern in the input sequence. The Katamic System learns rapidly, has a large memory capacity, exhibits sequence completion and sequence recognition capability, and is fault and noise tolerant. The system's modular construction permits straightforward scaleability.