PATI'ERN LEARNING BY RJNcr I ONAL- DIFFERENTIAL NEURAL NEIWORKS WIlli ARBITRARY PATH WEIGI:rrS
نویسندگان
چکیده
The theory is der~ved in several stages ([1], [.4], [9], [10]). Each stage exhibits the minim:11 systems that are compatible with a given list of psychological postulates. Successive stages refine either the dynamical'"equations themselves, or the synthesis of netw:)rk COIU1ections, to satisfy additional postulates. This paper reviews the derivation of stage one, for completeness, and proves tw:) general theorems about spatial pattern learning by a suitable class of netw:)rks of Embedding Fi~ld type. Weaker versions of these theorems were anoounced witrout prtJOf in [7]. The theorems will also be interpreted psychologically and! physiologically. They describe properties of learning that are invari.ant under broad changes in physiological and anatomical constraints. In particular, they permit a discussion of learning in an essentially arbitrary anatomy.
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