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In: Frontiers in Computational Neuroscience, Jg. 7, S. 126 ff.2013How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
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In: INTERACTION STUDIES, Jg. 17 H. 1, S. 128-1532016Lose a Leg but not Your Head – A Cognitive Extension of a Biologically-inspired Walking Architecture
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In: Frontiers in Psychology, Jg. 3 H. 405, S. 405 ff.2012