Chaotic itinerancy and its roles in cognitive neurodynamics

Current Opinion in Neurobiology

Volumn 31, Issue , 2015, Pages 67-71

  Tsuda, Ichiro ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN CORTEX; CHAOTIC ITINERANCY; COGNITION; COMMUNICATION SKILL; CONCEPTUAL FRAMEWORK; HUMAN; LEARNING ALGORITHM; MATHEMATICAL MODEL; MEMORY; MENTAL FUNCTION; NERVE CELL INHIBITION; NERVE CELL NETWORK; NEUROBIOLOGY; NONHUMAN; REVIEW; SPEECH; THINKING; WRITING; ANIMAL; BIOLOGICAL MODEL; CYTOLOGY; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY;

ANIMALS; CEREBRAL CORTEX; COGNITION; HUMANS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS;

EID: 84907693728     PISSN: 09594388     EISSN: 18736882     Source Type: Journal    
DOI: 10.1016/j.conb.2014.08.011     Document Type: Review

References (32)

1. Tsuda I. Chaotic itinerancy as a dynamical basis of hermeneutics of brain and mind. World Futures 1991, 32:167-185.
2. Tsuda I. Dynamic link of memories-chaotic memory map in nonequilibrium neural networks. Neural Netw 1992, 5:313-326.
3. Tsuda I. Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems. Behav Brain Sci 2001, 24:793-810. discussion 810-847.
4. Tsuda I. Chaotic itinerancy. Scholarpedia 2013, 8:4459.
5. Kaneko K., Tsuda I. Chaotic itinerancy. Chaos 2003, 13:926-936.
6. Skarda C.A., Freeman W.J. How brains make chaos in order to make sense of the world. Behav Brain Sci 1987, 10:161-195.
7. Li Y., Tsuda I. Novelty-induced memory transmission between two nonequilibrium neural networks. Cog Neurodyn 2013, 7:225-236.
8. Pinsky P.F., Rinzel J. Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons. J Comput Neurosci 1994, 1:39-60.
9. Wang X.J., Buzsáki G. Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J Neurosci 1996, 16:6402-6413.
10. Tsukada H., Yamaguti Y., Tsuda I. Transitory memory retrieval in a biologically plausible neural network model. Cog Neurodyn 2013, 7:409-416.
11. Marr D. Simple memory: a theory for archicortex. Philos Trans R Soc Lond 1971, 262:23-81.
12. Amari S. Dreaming of mathematical neuroscience for a half century. Neural Netw 2013, 37:48-51.
13. Kurikawa T., Kaneko K. Embedding responses in spontaneous neural activity shaped through sequential learning. PLOS Comp Biol 2013, 9:e1002943.
14. Freeman W.J. How Brains Make Up Their Minds 1999, A Phoenix Paperback.
15. Kawasaki M., Yamada Y., Ushiku Y., Miyauchi E., Yamaguchi Y. Inter-brain synchronization during coordination of speech rhythm in human-to-human social interaction. Sci Rep 2013, 3:1692.
16. Kozma R., Puljic M., Freeman W.J. Thermodynamic model of criticality in the cortex based on EEG/ECOG data. Criticality in Neural Systems 2012, 1-22. John Wiley & Sons, Bethesda. D. Plenz, E. Niebur (Eds.).
17. Tsuda I., Fujii H., Tadokoro S., Yasuoka T., Yamaguti Y. Chaotic itinerancy as a mechanism of irregular changes between synchronization and desynchronization in a neural network. J Integr Neurosci 2004, 3:159-182.
18. Tsuda I., Yamaguti Y., Watanabe H. Modeling the genesis of components of networks of interacting units. Adv Cogn Neurodyn (IV) 2014, (in press).
19. Yamaguti Y., Tsuda I. Mathematical modeling for evolution of heterogeneous modules in the brain. Neural Netw 2014, (in press).
20. Kelso J.A.S., Dumas G., Tognoli E. Outline of a general theory of behavior and brain coordination. Neural Netw 2013, 37:120-131.
21. Tognoli E., Kelso J.A.S. The metastable brain. Neuron 2014, 81:35-48.
22. Tsuda I. Hypotheses on the functional roles of chaotic transitory dynamics. Chaos 2009, 19:015113-1-015113-10.
23. Milnor J. On the concept of attractor. Commun Math Phys 1985, 99:177-195.
24. Levina A., Herrmann J.M., Geisel T. Dynamical synapses causing self-organized criticality in neural networks. Nat Phys 2007, 3:857-860.
25. Bak P., Tang C., Wiesenfeld K. Self-organized criticality: an explanation of the 1/f noise. Phys Rev Lett 1987, 59:381-384.
26. Amari S., Nagaoka H. Methods of Information Geometry 2000, AMS and Oxford University Press.
27. Amari S., Ozeki T., Cousseau F., Wei H. Dynamics of learning in hierarchical models-singularity and Milnor attractor. Adv Cogn Neurodyn (II) 2011, 3-9.
28. Searle J. Expression and Meaning 1979, Cambridge University Press.
29. Hatakeyama M., Tsuda I. Internal logic viewed from observation space: theory and a case study. BioSystems 2007, 90:273-286.
30. Pan X., Sawa K., Tsuda I., Tsukada M., Sakagami M. Reward prediction based on stimulus categorization in primate lateral prefrontal cortex. Nat Neurosci 2008, 11:703-712.
31. Matsuzawa T. Evolution of the brain and social behavior in chimpanzees. Curr Opin Neurol 2013, 23:443-449.
32. Osawa M. Origin of sociality. Hon 2014, 54-61. (in Japanese).