Neural nets for sensor and motor trajectories

The use of artificial neural networks for the management of sensory and motor trajectories is introduced. In the approach presented, the space-time functions representing the trajectories are separated so that the spatial parameters are stored in one neural map and the time parameters are stored in a second neural map. An approach called a neural triangular lattice is suggested for implementing the neural maps.<<ETX>>

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