Neural network model for realtime adaptation to rapidly changing environments

A neural network model rapidly learning

A neural network model rapidly learning gains and gating of reflexes necessary to adapt to an arm's dynamics

✍ K. Th. Kalveram 📂 Article 📅 1992 🏛 Springer-Verlag 🌐 English ⚖ 931 KB

Effects of dynamic coupling, gravity, inertia and the mechanical impedances of the segments of a multi-jointed arm are shown to be neutralizable through a reflex-like operating three layer static feedforward network. The network requires the proprioceptively mediated actual state variables (here ang