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Alan H Bond

Publications and source records attributed to Alan H Bond.

2 recordsLinked to original sources

An information-processing analysis of the functional architecture of the primate neocortex.

Working at the systems level of analysis, we will use the term functional architecture to concern what processing components exist, how they are interconnected, and what information-processing functions each is involved in. In this paper, experimental evidence for the primate neocortex is analysed for conclusions concerning the existence of neural areas, for corticocortical connectivity among neural areas, and for the involvement of each cortical neural area in the functioning of the brain. We characterize the information-processing function for each neural area in terms of the types of information it is associated with, and conceive of its activity as processing, storage and transmission of data of the corresponding types for that area. We also adapt concepts of goal, plan, sequence, event and context for the description of information processing in the neocortex. This analysis shows that the primate neocortex consists in the main of a perception hierarchy, an action hierarchy and connections between them. In other words, from an information-processing point of view, the primate neocortex has a hierarchical perception-action architecture.

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A computational model for the primate neocortex based on its functional architecture.

Experimental evidence has shown that the primate neocortex consists in the main of a set of cortical regions which form a perception hierarchy, an action hierarchy and connections between them. By using a computer science analysis, we develop a computational architecture for the brain in which each cortical region is represented by a computational module with processing and storage abilities. Modules are interconnected according to the connectivity of the corresponding cortical regions. We develop computational principles for designing such a hierarchical and parallel computing system. We demonstrate this approach by proposing a causal functioning model of the brain. We report on results obtained with an implementation of this model. We conclude with a brief discussion of some consequences and predictions of our work.

Animals↗