Neural theory of association and concept-formation
β Scribed by S.-I. Amari
- Publisher
- Springer-Verlag
- Year
- 1977
- Tongue
- English
- Weight
- 904 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0340-1200
No coin nor oath required. For personal study only.
β¦ Synopsis
The present paper looks for possible neural mechanism underlying such high-level brain functioning as association and concept-formation. Primitive neural models of association and concept-formation are presented, which will elucidate the distributed and multiply superposed manner of retaining knowledge in the brain. The models are subject to two rules of self-organization of synaptic weights, orthogonal and covariance learning. The convergence of self-organization is proved, and the characteristics of these learning rules are shown. The performances, especially the noise immunity, of the association net and conceptformation net are analyzed.
π SIMILAR VOLUMES
In the present letter, the authors propose a model of hierarchical concept formation in auto-associative memory composed of neuro-window elements. When hierarchically correlated patterns are memorized, each center of the correlated memory patterns can be defined as a concept pattern which represents
Models of discrete choice analysis are usually based on the random utility framework. They assume that decision makers make decisions that maximize their utility. Alternative formulations of the problem have also been proposed in the literature. These approaches model the decision makersΓ perception