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Biological brains are saturated with complex dynamics. Artificial neural network models abstract much of this complexity away and represent the computational process of neuronal groups in terms of simple point, and sometimes periodic attractors. But is this abstraction justified? Aperiodic dynamics are known to be essential in the formation of perceptual mechanisms and representations in biological organisms. Advances in neuroscience and computational neurodynamics are helping us to understanddoi:10.1109/robot.2004.1307380 dblp:conf/icra/HarterK04 fatcat:55vmnrpz3ncbzjlsid2jnfpivi