Abstract
The human sensory-motor system is strongly dependent upon the spring-like properties of muscles. In this context we investigated a parallel, distributed architecture that exploits the elastic potential energy stored by muscles and we studied methods of learning dynamics via repeated trials. It is argued that a significant contribution may come from studies concerned with analogs of human muscles and human skin, what may be called a basic wet-ware because it is based on liquid - state physics.
Original language | English (US) |
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Pages (from-to) | 332 |
Number of pages | 1 |
Journal | Neural Networks |
Volume | 1 |
Issue number | 1 SUPPL |
DOIs | |
State | Published - 1988 |
Event | International Neural Network Society 1988 First Annual Meeting - Boston, MA, USA Duration: Sep 6 1988 → Sep 10 1988 |
ASJC Scopus subject areas
- Cognitive Neuroscience
- Artificial Intelligence