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Designing spontaneous behavioral switching via chaotic itinerancy.

Katsuma Inoue1, Kohei Nakajima1, Yasuo Kuniyoshi1

  • 1Graduate School of Information Science and Technology, The University of Tokyo, Engineering Building 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. k-inoue@isi.imi.i.u-tokyo.ac.jp k_nakajima@mech.t.u-tokyo.ac.jp kuniyosh@isi.imi.i.u-tokyo.ac.jp.

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Researchers developed a reproducible method for designing chaotic itinerancy in high-dimensional chaotic neural networks. This breakthrough simplifies controlling complex neural systems for autonomous behavior generation in neurorobotics.

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Area of Science:

  • Neuroscience
  • Dynamical Systems Theory
  • Computational Neuroscience

Background:

  • Chaotic itinerancy, characterized by transitions among quasi-attractors, is observed in high-dimensional nonlinear systems.
  • This phenomenon is crucial for spontaneous behavior generation in animal brains and is of interest for neurorobotics.
  • Controlling high-dimensional nonlinear dynamical systems remains a significant challenge.

Purpose of the Study:

  • To propose a reproducible method for implementing desired chaotic itinerancy.
  • To enable straightforward design of quasi-attractor trajectories and transition rules.
  • To facilitate autonomous behavioral control in neurorobotics.

Main Methods:

  • Development of a novel method for reproducible chaotic itinerancy.
  • Application to a high-dimensional chaotic neural network model.
  • System parameter adjustment to control attractor dynamics.

Main Results:

  • Successful implementation of reproducible chaotic itinerancy.
  • Demonstrated ability to design quasi-attractor trajectories and transition rules.
  • Leveraging intrinsic high-dimensional chaos for control.

Conclusions:

  • The proposed method simplifies the design of chaotic itinerancy in complex neural networks.
  • This facilitates the creation of autonomous behavioral controls for neurorobotic applications.
  • Offers a pathway to better understand and engineer brain-like spontaneous behaviors.