Efficient implementation of dynamic neural fields e.g. for robotic systems, involves approximating position, time-continuous field dynamics by discrete network characterized by minimal number of neurons

摘要

The method involves implementing dynamic neural fields e.g. as programs on a digital computer or as analogue hardware. The position and time-continuous field dynamics are approximated in an optimized manner by a discrete dynamic neural network that is characterized by a minimal number of neurons.