Learning to generate temporal sequences by models of frontal lobes

摘要

Possible architectures for the storage and retrieval of temporal sequences are investigated using a cartoon version of the frontal lobes (the ACTION net), based loosely on actual frontal architecture. A particular version of the architecture is developed which gives similar temporal patterns of single neurone activity as observed experimentally in monkeys. The underlying principles involved in the manner that chunking is achieved of these sequences is deduced in the final part of the paper.