RT Journal Article SR Electronic T1 Designing spontaneous behavioral switching via chaotic itinerancy JF Science Advances JO Sci Adv FD American Association for the Advancement of Science SP eabb3989 DO 10.1126/sciadv.abb3989 VO 6 IS 46 A1 Inoue, Katsuma A1 Nakajima, Kohei A1 Kuniyoshi, Yasuo YR 2020 UL http://advances.sciencemag.org/content/6/46/eabb3989.abstract AB Chaotic itinerancy is a frequently observed phenomenon in high-dimensional nonlinear dynamical systems and is characterized by itinerant transitions among multiple quasi-attractors. Several studies have pointed out that high-dimensional activity in animal brains can be observed to exhibit chaotic itinerancy, which is considered to play a critical role in the spontaneous behavior generation of animals. Thus, how to design desired chaotic itinerancy is a topic of great interest, particularly for neurorobotics researchers who wish to understand and implement autonomous behavioral controls. However, it is generally difficult to gain control over high-dimensional nonlinear dynamical systems. In this study, we propose a method for implementing chaotic itinerancy reproducibly in a high-dimensional chaotic neural network. We demonstrate that our method enables us to easily design both the trajectories of quasi-attractors and the transition rules among them simply by adjusting the limited number of system parameters and by using the intrinsic high-dimensional chaos.