Artificial Intelligence
What is the goal of sensory coding?
Neural Computation
The world from a cat’s perspective – statistics of natural videos
Biological Cybernetics
Coevolution of active vision and feature selection
Biological Cybernetics
Active Vision and Receptive Field Development in Evolutionary Robots
Evolutionary Computation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Active Vision for Goal-Oriented Humanoid Robot Walking
Creating Brain-Like Intelligence
2009 Special Issue: Explorations on artificial time perception
Neural Networks
50 years of artificial intelligence
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Inspired by the pioneering work by Held and Hein (1963) on the development of kitten visuo-motor systems, we explore the role of active body movement in the developmental process of the visual system by using robots. The receptive fields in an evolved mobile robot are developed during active or passive movement with a Hebbian learning rule. In accordance to experimental observations in kittens, we show that the receptive fields and behavior of the robot developed under active condition significantly differ from those developed under passive condition. A possible explanation of this difference is derived by correlating receptive field formation and behavioral performance in the two conditions.