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Yoko Yamaguchi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Colin Molter, Naoyuki Sato, Utku Salihoglu, Yoko Yamaguchi
    How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1-10 [Conf]
  2. Yoko Yamaguchi, Bruce L. McNaughton
    Non-Linear Dynamics Generating Theta Phase Precession in Hippocampal Closed Circuit and Generation of Episodic Memory. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:781-784 [Conf]
  3. Emilia I. Barakova, Tino Lourens, Yoko Yamaguchi
    Life-Long Learning: Consolidation of Novel Events into Dynamic Memory Representations. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:110-117 [Conf]
  4. Zhihua Wu, Yoko Yamaguchi
    Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2004, v:90, n:4, pp:310- [Journal]
  5. Zhihua Wu, Yoko Yamaguchi
    Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2004, v:90, n:2, pp:113-124 [Journal]
  6. Yoko Yamaguchi
    A theory of hippocampal memory based on theta phase precession. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2003, v:89, n:1, pp:1-9 [Journal]
  7. Hiroaki Wagatsuma, Yoko Yamaguchi
    Disambiguation in spatial navigation with theta phase coding. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1228-1232 [Journal]
  8. Naoyuki Sato, Yoko Yamaguchi
    Memory Encoding by Theta Phase Precession in the Hippocampal Network. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:10, pp:2379-2397 [Journal]
  9. Hiroaki Wagatsuma, Yoko Yamaguchi
    Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:12, pp:2665-2697 [Journal]
  10. Yutaka Hirakura, Yoko Yamaguchi, Hiroshi Shimizu, Shinichi Nagai
    Dynamic linking among neural oscillators leads to flexible pattern recognition with figure-ground separation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:2, pp:189-209 [Journal]
  11. Zhihua Wu, Yoko Yamaguchi
    Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:5, pp:547-563 [Journal]
  12. Yoko Yamaguchi, Hiroshi Shimizu
    Pattern recognition with figure-ground separation by generation of coherent oscillations. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:1, pp:49-63 [Journal]

  13. Design of Web Agents Inspired by Brain Research. [Citation Graph (, )][DBLP]

  14. Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor. [Citation Graph (, )][DBLP]

  15. Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow. [Citation Graph (, )][DBLP]

  16. A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells. [Citation Graph (, )][DBLP]

  17. Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding Network. [Citation Graph (, )][DBLP]

  18. Relationship between an Input Sequence and Asymmetric Connections Formed by Theta Phase Precession and STDP. [Citation Graph (, )][DBLP]

  19. Synchronized Rhythmic Signals Effectively Influence Ongoing Cortical Activity for Decision-Making: A Study of the Biological Plausible Neural Network Model. [Citation Graph (, )][DBLP]

  20. Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex. [Citation Graph (, )][DBLP]

  21. Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism. [Citation Graph (, )][DBLP]

  22. Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model. [Citation Graph (, )][DBLP]

  23. The Brain Computation Based on Synchronization of Nonlinear Oscillations: On Theta Rhythms in Rat Hippocampus and Human Scalp EEG. [Citation Graph (, )][DBLP]

  24. Independence of the unimodal tuning of firing rate from theta phase precession in hippocampal place cells. [Citation Graph (, )][DBLP]

  25. Self-organization of the heartbeat as coordination among ventricular myocardial cells through mechano-electrical feedback. [Citation Graph (, )][DBLP]

  26. Flexible vowel recognition by the generation of dynamic coherence in oscillator neural networks: speaker-independent vowel recognition. [Citation Graph (, )][DBLP]

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