Pictorial reasoning with cell assemblies

Abstract

We introduce a biologically and psychologically plausible neuronal model which could explain how pictorial reasoning is carried out by the human brain. This biologically inspired model throws some light on how some problem-solving abilities might actually be performed by the human brain using neural cell assemblies. It also highlights the benefits of distributed representation. These benefits include the ability to learn from experience, heuristics resulting from picture representation and the ability to deal with noisy information. The description of the reasoning process by formation of associations gives flexibility and power in operation. The proper way to use it, the proper data representations and the proper network architecture are presented in this paper.