Brain-like computer architecture

Abstract

This paper is concerned with novel approaches to solve performance and addressing problems inherent in computer systems. The core of the neuron-like processing machine (NLPM) comprised of a unique type of computer architecture for constructing massively parallel processing machines, with unique types of pattern recognition system and addressing mechanisms that enhances the performance for identification and retrieval of known data patterns. The architecture of the NLPM has neuronal nodes bundled as groups fully interconnected and structured similar to the human brain, therefore the machine is named, neuron like processing machine (NLPM). The paper describes some of the novel architecture consisting of hierarchical structures comprising processing nodes called super neurons (SN), positioned on geographical maps in which selected nodes are grouped together to form structures of dedicated pattern units (PU) for solving generic pattern recognition problems. The paper gives some description of the pattern unit and NLPM architecture. The NLPM makes connections between pattern unit processing nodes to solve any type of pattern recognition and identification tasks