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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Funabashi, Masatoshi 2015. Synthetic Modeling of Autonomous Learning with a Chaotic Neural Network. International Journal of Bifurcation and Chaos, Vol. 25, Issue. 04, p. 1550054.


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Chaotic itinerancy is a key to mental diversity

  • Ichiro Tsuda (a1)
  • DOI: http://dx.doi.org/10.1017/S0140525X04220131
  • Published online: 01 August 2004
Abstract

Kampis proposes the study of chaotic itinerancy, pointing out its significance in domains of cognitive science and philosophy. He has discovered in the concept of chaotic itinerancy the possibility for a new dynamical approach that elucidates mental states with a physical basis. This approach may therefore provide the means to go beyond the connectionist approach. In accordance with his theory, I here highlight three issues regarding chaotic itinerancy: transitory dynamics, diversity, and self-modifying system.

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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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