Abstract
A new theory is presented for the internal mechanisms of the brain. The theory states that there are controllers in the brain and that parts of the brain control other parts. Therefore, control theoretic notions are applicable to developing systems similar to the brain. Supporting evidence for the theory is provided by two sources: the structure of existing connectionist algorithms and neuroscience. This theory directly challenges the connectionist notion that there are no controllers in the brain. Acceptance of the theory can lead to the development of new and powerful algorithms in the neural network field, algorithms that can help the development of autonomous learning systems and autonomous robots in the future.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the International Joint Conference on Neural Networks |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | IEEE |
| Pages | 81-86 |
| Number of pages | 6 |
| Volume | 2 |
| State | Published - 2000 |
| Event | International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy Duration: Jul 24 2000 → Jul 27 2000 |
Other
| Other | International Joint Conference on Neural Networks (IJCNN'2000) |
|---|---|
| City | Como, Italy |
| Period | 7/24/00 → 7/27/00 |
ASJC Scopus subject areas
- Software