Oregon Graduate Center

James L Bailey

Daniel W Hammerstrom

A neural-model-architectural, layered, multidirectional-feed computational system wherein plural groups of computational (connection) nodes are organized by broadcast bus structures into plural, partially overlapping broadcast regions. This organization allows for selective, simultaneous, multidirectional broadcast communication between the groups of nodes in forward, rearward and lateral overlapping regions.

Neural-model computational system with multi-directionally overlapping

A neural-model computational method and architecture structure based on connectionism featuring broadcast-hierarchical, locality-of-communication-dominant operation. According to the hierarchical nature of the invention, the system thereof is organized into plural communication levels, wherein what might be thought of as a lower level handles all communications that take place solely on that level, and what might be thought of as a higher level handles 'long-distance' communications interlevel. Communication takes place in what is referred to herein as a braodcast manner in the sense that a communicating source broadcasts its communication simultaneously to the entirety of that part of the system wherein expected recipients are located. The locality-of-communication-dominance feature groups and organizes the various communication sources generally in accordance with their respective frequencies of communication, assigning addresses, respectively, whose lengths generally relate in an inverse proportion to these frequencies.

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Hillsboro, OR, United States of America

James L Bailey