Right brain computing hardware: a psychological brain model on silicon

Abstract

Despite the enormous power of present-day computers, digital systems cannot respond to real-world events in real time. Biological systems built with very slow chemical transistors, however, are very fast in such tasks as seeing, recognizing, and taking actions. The paper will discuss what we can learn from biological computing systems and how we can implement the principle using the state-of-the-art silicon technology. Intelligent LSI systems based on the psychological model of a brain are proposed. The system stores the past experience in nonvolatile vast analog memories and recalls the most similar event to a current input using the association processor working in the analog/digital-merged decision-making principle.