2008 |
49 | | Kazuho Watanabe,
Shotaro Akaho,
Masato Okada:
Clustering on a Subspace of Exponential Family Using Variational Bayes Method.
ITSL 2008: 10-16 |
48 | EE | Masafumi Oizumi,
Toshiyuki Ishii,
Kazuya Ishibashi,
Toshihiko Hosoya,
Masato Okada:
A general framework for investigating how far the decoding process in the brain can be simplified.
NIPS 2008: 1225-1232 |
47 | EE | Kentaro Katahira,
Jun Nishikawa,
Kazuo Okanoya,
Masato Okada:
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM.
NIPS 2008: 817-824 |
46 | EE | Masato Okada:
Visualization of High Dimensional Data in Brain and Information Sciences.
PacificVis 2008 |
45 | EE | Florent Cousseau,
Kazushi Mimura,
Toshiaki Omori,
Masato Okada:
Statistical mechanics of lossy compression for non-monotonic multilayer perceptrons
CoRR abs/0807.4009: (2008) |
44 | EE | Florent Cousseau,
Kazushi Mimura,
Masato Okada:
Error correcting code using tree-like multilayer perceptron
CoRR abs/0811.3476: (2008) |
2007 |
43 | EE | Jun Nishikawa,
Masato Okada,
Kazuo Okanoya:
Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC.
ICONIP (1) 2007: 54-63 |
42 | EE | Hideto Utsumi,
Seiji Miyoshi,
Masato Okada:
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers
CoRR abs/0705.2318: (2007) |
41 | EE | Kenji Morita,
Masato Okada,
Kazuyuki Aihara:
Selectivity and Stability via Dendritic Nonlinearity.
Neural Computation 19(7): 1798-1853 (2007) |
40 | EE | Naoki Masuda,
Masato Okada,
Kazuyuki Aihara:
Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks.
Neural Computation 19(7): 1854-1870 (2007) |
39 | EE | Kosuke Hamaguchi,
Masato Okada,
Kazuyuki Aihara:
Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity.
Neural Computation 19(9): 2468-2491 (2007) |
2006 |
38 | EE | Seiji Miyoshi,
Masato Okada:
Statistical Mechanics of Online Learning for Ensemble Teachers.
IJCNN 2006: 750-755 |
37 | EE | Masahiro Urakami,
Seiji Miyoshi,
Masato Okada:
Statistical Mechanics of On-line Learning when a Moving Teacher Goes around an Unlearnable True Teacher
CoRR abs/cs/0612117: (2006) |
36 | EE | Masami Takata,
Hayaru Shouno,
Masato Okada:
Naive Mean Field Approximation for Sourlas Error Correcting Code.
IEICE Transactions 89-D(8): 2439-2447 (2006) |
35 | EE | Keiji Miura,
Masato Okada,
Shun-ichi Amari:
Estimating Spiking Irregularities Under Changing Environments.
Neural Computation 18(10): 2359-2386 (2006) |
34 | EE | Masato Okada:
Brain Science, Information Science and Associative Memory Model.
New Generation Comput. 24(2): (2006) |
2005 |
33 | EE | Keiji Miura,
Masato Okada,
Shun-ichi Amari:
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments.
NIPS 2005 |
32 | EE | Kosuke Hamaguchi,
Masato Okada,
Shigeru Kubota,
Kazuyuki Aihara:
Stochastic resonance of localized activity driven by common noise.
Biological Cybernetics 92(6): 438-444 (2005) |
31 | EE | Toshiyuki Tanaka,
Masato Okada:
Approximate belief propagation, density evolution, and statistical neurodynamics for CDMA multiuser detection.
IEEE Transactions on Information Theory 51(2): 700-706 (2005) |
30 | EE | Narihisa Matsumoto,
Masato Okada,
Yasuko Sugase-Miyamoto,
Shigeru Yamane:
Neuronal Mechanisms Encoding Global-to-Fine Information in Inferior-Temporal Cortex.
Journal of Computational Neuroscience 18(1): 85-103 (2005) |
29 | EE | Kosuke Hamaguchi,
Masato Okada,
Michiko Yamana,
Kazuyuki Aihara:
Correlated Firing in a Feedforward Network with Mexican-Hat-Type Connectivity.
Neural Computation 17(9): 2034-2059 (2005) |
28 | EE | Toru Aonishi,
Hiroyoshi Miyakawa,
Masashi Inoue,
Masato Okada:
Effect of dendritic backpropagating action potential on neural interaction.
Neurocomputing 65-66: 343-348 (2005) |
27 | EE | Kosuke Hamaguchi,
Masato Okada,
Michiko Yamana,
Kazuyuki Aihara:
Stochasticity in localized synfire chain.
Neurocomputing 65-66: 435-440 (2005) |
26 | EE | Yoichi Miyawaki,
Masato Okada:
Mechanisms of spike inhibition in a cortical network induced by transcranial magnetic stimulation.
Neurocomputing 65-66: 463-468 (2005) |
25 | EE | Narihisa Matsumoto,
Daisuke Ide,
Masataka Watanabe,
Masato Okada:
Synaptic depression enlarges basin of attraction.
Neurocomputing 65-66: 571-577 (2005) |
24 | EE | Seiji Miyoshi,
Kazuyuki Hara,
Masato Okada:
Analysis of ensemble learning using simple perceptrons based on on-line learning theory.
Systems and Computers in Japan 36(12): 63-74 (2005) |
2004 |
23 | EE | Kosuke Hamaguchi,
Masato Okada,
Kazuyuki Aihara:
Theory of localized synfire chain: characteristic propagation speed of stable spike pattern.
NIPS 2004 |
22 | EE | Hyeyoung Park,
Masato Inoue,
Masato Okada:
Learning Dynamics of Neural Networks with Singularity - Standard Gradient vs. Natural Gradient.
PRICAI 2004: 282-291 |
21 | EE | Tomoyuki Kimoto,
Masato Okada:
Coexistence of memory patterns and mixed states in a sparsely encoded associative memory model storing ultrametric patterns.
Biological Cybernetics 90(4): 229-238 (2004) |
20 | EE | Yoichi Miyawaki,
Masato Okada:
A Network Model of Perceptual Suppression Induced by Transcranial Magnetic Stimulation.
Neural Computation 16(2): 309-331 (2004) |
19 | EE | Masami Tatsuno,
Masato Okada:
Investigation of Possible Neural Architectures Underlying Information-Geometric Measures.
Neural Computation 16(4): 737-765 (2004) |
18 | EE | Tomoyuki Kimoto,
Masato Okada:
Mixed states on neural network with structural learning.
Neural Networks 17(1): 103-112 (2004) |
17 | EE | Seiji Miyoshi,
Hiro-Fumi Yanai,
Masato Okada:
Associative memory by recurrent neural networks with delay elements.
Neural Networks 17(1): 55-63 (2004) |
16 | EE | Kazuyuki Hara,
Masato Okada:
On-line learning through simple perceptron learning with a margin.
Neural Networks 17(2): 215-223 (2004) |
15 | EE | Narihisa Matsumoto,
Masato Okada:
Impact of deviation from precise balance of spike-timing-dependent plasticity.
Neural Networks 17(7): 917-924 (2004) |
14 | EE | Koji Wada,
Koji Kurata,
Masato Okada:
Self-organization of globally continuous and locally distributed information representation.
Neural Networks 17(8-9): 1039-1049 (2004) |
13 | EE | Kazuyuki Hara,
Masato Okada:
Online learning of a simple perceptron learning with margin.
Systems and Computers in Japan 35(7): 98-105 (2004) |
2003 |
12 | EE | Yoichi Miyawaki,
Masato Okada:
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
NIPS 2003 |
11 | EE | Masaki Nomura,
Toshio Aoyagi,
Masato Okada:
Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing.
Neural Networks 16(7): 947-954 (2003) |
10 | EE | Masami Tatsuno,
Masato Okada:
How does the information-geometric measure depend on underlying neural mechanisms?
Neurocomputing 52-54: 649-654 (2003) |
2002 |
9 | EE | Tatsuto Murayama,
Masato Okada:
Rate Distortion Function in the Spin Glass State: A Toy Model.
NIPS 2002: 407-414 |
8 | EE | Narihisa Matsumoto,
Masato Okada:
Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity.
Neural Computation 14(12): 2883-2902 (2002) |
2001 |
7 | EE | Tomoyuki Kimoto,
Masato Okada:
Mixed state on a sparsely encoded associative memory model.
Biological Cybernetics 85(4): 319-325 (2001) |
1998 |
6 | EE | Yoshio Yamaguchi,
Kunihiko Fukushima,
Masato Okada:
A neural network model for associative recall of maps.
Systems and Computers in Japan 29(13): 9-17 (1998) |
1997 |
5 | EE | Kunihiko Fukushima,
Yoshio Yamaguchi,
Masato Okada:
Neural Network Model of Spatial Memory: Associative Recall of Maps.
Neural Networks 10(6): 971-979 (1997) |
1996 |
4 | | Kunihiko Fukushima,
Yoshio Yamaguchi,
Masato Okada:
Neural Network Model Recalling Spatial Maps.
ICANN 1996: 329-334 |
3 | EE | Masato Okada:
Notions of Associative Memory and Sparse Coding.
Neural Networks 9(8): 1429-1458 (1996) |
1995 |
2 | EE | Masato Okada:
A hierarchy of macrodynamical equations for associative memory.
Neural Networks 8(6): 833-838 (1995) |
1994 |
1 | EE | Kunihiko Fukushima,
Masato Okada,
Kazuhito Hiroshige:
Neocognitron with dual C-cell layers.
Neural Networks 7(1): 41-47 (1994) |