The Brain-Computer is a physical analogue of a real organism which uses both a brain-inspired memory-based architecture and an output-driven learning algorithm. This system can be realized by creating a scaled-down model car that learns how to drive by heuristically connecting image processing with behavior control. This study proves that learning efficiency progresses rapidly when the acquired behaviors are prioritized. We develop a small real-world device that moves about purposefully in an artificial environment. The robot uses imaging information acquired through its random actions to make a mental map. This map, then, provides the cognitive structure for acquiring necessary information for autonomous behavior.
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J Neural Eng
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Department of Neurology, Northwestern University Feinberg School of Medicine, 320 East Superior St, Chicago, IL 60611, USA, Chicago, Illinois, 60611, UNITED STATES.
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School of Biomedical Engineering, Tsinghua University, Beijing, China. Electronic address:
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