Index
| PCNN |
 About |
| Demonstration |
| Bibliography |
| Equations |
| Hearing Shapes |
| Links |
| Optics |
| Physics |
| AccessGrid Node |
| Arts & Sciences |
| A & M University |
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The Alabama A & M University |
Pulse Coupled Neural Networks:
Pulse Coupled Neural Networks (PCNNs) are different from classic neural network models. No training is required. The properties of the PCNN can be adjusted by changing threshold levels and decay time constants.
Pulse Coupled Neural Networks are:
Synergetic
Syntactic
Category Forming
Goals:
Combine with Classical Recognition Filters
Evolve "Optimum" PCNNs
Design Optical PCNN
Fabricate / Test