Two separate processing streams in a cortical-type architecture

摘要

We present a model of a cortical-type architecture that uses a latency coding scheme to process inputs as fast as possible given certain neuronal constraints while at the same time keeping the potential to perform a detailed analysis. The basic processing elements of our network are columnar structures, called minicolumns. We propose that these minicolumns are the prime constituents of cortical architecture.