Abstract
The authors describe some preliminary results on the application of oscillatory neural networks to the coordination and control of nonrhythmic, sensor-induced, free movement in intelligent adaptive industrial robots. In such devices, as appears to be the case in living creatures, sensory stimuli arrive at specific sensors and generate oscillatory space-time neural activity which results in recognition, association, and generation of corresponding motor trajectories. Some preliminary results are described from network simulations which demonstrate this type of behavior, and an attempt is made to relate them to recent experimental results from neurophysiological studies of visual perception.
Original language | English |
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Title of host publication | Proceedings of the 30th IEEE Conference on Decision and Control |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 168-169 |
Number of pages | 2 |
ISBN (Print) | 0-7803-0450-0 |
DOIs | |
Publication status | Published - 6 Aug 2002 |
Keywords
- Robots
- Sensory-control
- Oscillatory neural networks