title: Is chaos good for learning?
abstract: This paper demonstrates that an artificial neural network training on time-series data from the logistic map at the onset of chaos trains more effectively when it is weakly chaotic. This suggests that a modest amount of chaos in the brain in addition to the ever present random noise might be beneficial for learning. In such a case, human subjects might exhibit an increased Lyapunov exponent in their EEG recordings during the performance of creative tasks, suggesting a possible line of future research.
authors.affiliation: Department of Physics, University of Wisconsin Madison, Madison, WI 53706-1390, USA. sprott@prhysics.wisc.edu
authors.forename: J C
authors.initials: JC
authors.lastname: Sprott
mesh_terms: D001921:Brain / Q000502:physiology; D003405:Creativity; D004569:Electroencephalography; D006801:Humans; D007858:Learning / Q000502:physiology*; D008570:Memory, Short-Term / Q000502:physiology; D015233:Models, Statistical; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology; D017711:Nonlinear Dynamics; D009934:Organization and Administration