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Masato Okada: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada
    Neural Network Model Recalling Spatial Maps. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:329-334 [Conf]
  2. Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara
    Theory of localized synfire chain: characteristic propagation speed of stable spike pattern. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  3. Keiji Miura, Masato Okada, Shun-ichi Amari
    Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  4. Yoichi Miyawaki, Masato Okada
    Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  5. Tatsuto Murayama, Masato Okada
    Rate Distortion Function in the Spin Glass State: A Toy Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:407-414 [Conf]
  6. H. Shouno, M. Okada
    Analysis of Bidirectional Associative Memory Using SCSNA and Statistical Neurodynamics. [Citation Graph (0, 0)][DBLP]
    PDPTA, 2002, pp:239-245 [Conf]
  7. Hyeyoung Park, Masato Inoue, Masato Okada
    Learning Dynamics of Neural Networks with Singularity - Standard Gradient vs. Natural Gradient. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:282-291 [Conf]
  8. Kosuke Hamaguchi, Masato Okada, Shigeru Kubota, Kazuyuki Aihara
    Stochastic resonance of localized activity driven by common noise. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2005, v:92, n:6, pp:438-444 [Journal]
  9. Tomoyuki Kimoto, Masato Okada
    Coexistence of memory patterns and mixed states in a sparsely encoded associative memory model storing ultrametric patterns. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2004, v:90, n:4, pp:229-238 [Journal]
  10. Toru Aonishi, Hiroyoshi Miyakawa, Masashi Inoue, Masato Okada
    Effect of dendritic backpropagating action potential on neural interaction. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:343-348 [Journal]
  11. Kosuke Hamaguchi, Masato Okada, Michiko Yamana, Kazuyuki Aihara
    Stochasticity in localized synfire chain. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:435-440 [Journal]
  12. Narihisa Matsumoto, Daisuke Ide, Masataka Watanabe, Masato Okada
    Synaptic depression enlarges basin of attraction. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:571-577 [Journal]
  13. Yoichi Miyawaki, Masato Okada
    Mechanisms of spike inhibition in a cortical network induced by transcranial magnetic stimulation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:463-468 [Journal]
  14. Masami Tatsuno, Masato Okada
    How does the information-geometric measure depend on underlying neural mechanisms? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:649-654 [Journal]
  15. Kosuke Hamaguchi, Masato Okada, Michiko Yamana, Kazuyuki Aihara
    Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:9, pp:2034-2059 [Journal]
  16. Narihisa Matsumoto, Masato Okada
    Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:12, pp:2883-2902 [Journal]
  17. Keiji Miura, Masato Okada, Shun-ichi Amari
    Estimating Spiking Irregularities Under Changing Environments. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:10, pp:2359-2386 [Journal]
  18. Yoichi Miyawaki, Masato Okada
    A Network Model of Perceptual Suppression Induced by Transcranial Magnetic Stimulation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:2, pp:309-331 [Journal]
  19. Masami Tatsuno, Masato Okada
    Investigation of Possible Neural Architectures Underlying Information-Geometric Measures. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:4, pp:737-765 [Journal]
  20. Kunihiko Fukushima, Masato Okada, Kazuhito Hiroshige
    Neocognitron with dual C-cell layers. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:1, pp:41-47 [Journal]
  21. Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada
    Neural Network Model of Spatial Memory: Associative Recall of Maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:6, pp:971-979 [Journal]
  22. Kazuyuki Hara, Masato Okada
    On-line learning through simple perceptron learning with a margin. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:2, pp:215-223 [Journal]
  23. Tomoyuki Kimoto, Masato Okada
    Mixed states on neural network with structural learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:103-112 [Journal]
  24. Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada
    Associative memory by recurrent neural networks with delay elements. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:1, pp:55-63 [Journal]
  25. Narihisa Matsumoto, Masato Okada
    Impact of deviation from precise balance of spike-timing-dependent plasticity. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:7, pp:917-924 [Journal]
  26. Masaki Nomura, Toshio Aoyagi, Masato Okada
    Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:7, pp:947-954 [Journal]
  27. Masato Okada
    A hierarchy of macrodynamical equations for associative memory. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:6, pp:833-838 [Journal]
  28. Masato Okada
    Notions of Associative Memory and Sparse Coding. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:8, pp:1429-1458 [Journal]
  29. Koji Wada, Koji Kurata, Masato Okada
    Self-organization of globally continuous and locally distributed information representation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1039-1049 [Journal]
  30. Kazuyuki Hara, Masato Okada
    Online learning of a simple perceptron learning with margin. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:7, pp:98-105 [Journal]
  31. Yoshio Yamaguchi, Kunihiko Fukushima, Masato Okada
    A neural network model for associative recall of maps. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 1998, v:29, n:13, pp:9-17 [Journal]
  32. Seiji Miyoshi, Kazuyuki Hara, Masato Okada
    Analysis of ensemble learning using simple perceptrons based on on-line learning theory. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2005, v:36, n:12, pp:63-74 [Journal]
  33. Toshiyuki Tanaka, Masato Okada
    Approximate belief propagation, density evolution, and statistical neurodynamics for CDMA multiuser detection. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:2, pp:700-706 [Journal]
  34. Tomoyuki Kimoto, Masato Okada
    Mixed state on a sparsely encoded associative memory model. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2001, v:85, n:4, pp:319-325 [Journal]
  35. Hideto Utsumi, Seiji Miyoshi, Masato Okada
    Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  36. Masahiro Urakami, Seiji Miyoshi, Masato Okada
    Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  37. Visualization of High Dimensional Data in Brain and Information Sciences. [Citation Graph (, )][DBLP]


  38. Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. [Citation Graph (, )][DBLP]


  39. Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC. [Citation Graph (, )][DBLP]


  40. Firing Rate Estimation Using an Approximate Bayesian Method. [Citation Graph (, )][DBLP]


  41. Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. [Citation Graph (, )][DBLP]


  42. Statistical Mechanics of Online Learning for Ensemble Teachers. [Citation Graph (, )][DBLP]


  43. A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference. [Citation Graph (, )][DBLP]


  44. Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM. [Citation Graph (, )][DBLP]


  45. A general framework for investigating how far the decoding process in the brain can be simplified. [Citation Graph (, )][DBLP]


  46. Automatic Blending of Multiple Perspective Views for Aesthetic Composition. [Citation Graph (, )][DBLP]


  47. Clustering on a Subspace of Exponential Family Using Variational Bayes Method. [Citation Graph (, )][DBLP]


  48. Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons [Citation Graph (, )][DBLP]


  49. Error correcting code using tree-like multilayer perceptron [Citation Graph (, )][DBLP]


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