| 摘要 |
A timestamp neural network comprised of sensor elements, internal elements, and motor elements is responsive to timestamps. Sensor elements transform a wide variety of signals into events that trigger the updating of timestamps. Internal elements are responsive to timestamps. Motor elements convert timestamps into useful output signals. A real time video pattern recognition system is implemented.
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