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MiS Preprint Repository

Delve into the future of research at MiS with our preprint repository. Our scientists are making groundbreaking discoveries and sharing their latest findings before they are published. Explore repository to stay up-to-date on the newest developments and breakthroughs.

MiS Preprint
55/2004

Adaptive Behaviour Control by Self-regulating Neurons

Frank Pasemann, Keyan Zahedi and Marieke Rohde

Abstract

A local learning rule for recurrent neural networks is derived by introducing neurons as self-regulating units. Acting as controllers for the behaviour of autonomous mobile agents, neural systems endowed with this learning rule generate interesting agent-environment interactions, which depend on the underlying connectivity of the network. The dynamical phenomenology of a single neuron and a two neuron network is analysed, and, as an example, the generation of obstacle avoidance behaviour of a miniature Khepera robot is presented.

Received:
Aug 25, 2004
Published:
Aug 25, 2004

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Preprint
2004 Repository Open Access
Frank Pasemann, Keyan Ghazi-Zahedi and Marieke Rohde

Adaptive behavior control by self-regulating neurons