| Year |
Citation |
Score |
| 2012 |
Miyata R, Kurata K, Aonishi T. Sparsely encoded hopfield model with unit replacement Ieice Transactions On Information and Systems. 2124-2132. DOI: 10.1587/transinf.E95.D.2124 |
0.313 |
|
| 2012 |
Miyata R, Aonishi T, Tsuzurugi J, Kurata K. Properties of Hopfield model with the zero-order synaptic decay Artificial Life and Robotics. 1-5. DOI: 10.1007/s10015-012-0033-5 |
0.335 |
|
| 2011 |
Ota K, Aoki T, Kurata K, Aoyagi T. Asymmetric neighborhood functions accelerate ordering process of self-organizing maps. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 021903. PMID 21405859 DOI: 10.1103/PhysRevE.83.021903 |
0.361 |
|
| 2011 |
Miyata R, Kurata K. Solving the Binding Problem with Separated Extraction of Information by Oscillatory Self-Organizing Maps Journal of Advanced Computational Intelligence and Intelligent Informatics. 15: 1123-1130. DOI: 10.20965/Jaciii.2011.P1123 |
0.324 |
|
| 2011 |
Miyata R, Kurata K. Properties of localized oscillatory excitation in a nonlinear oscillatory field Artificial Life and Robotics. 16: 239-242. DOI: 10.1007/s10015-011-0927-7 |
0.325 |
|
| 2010 |
Aonishi T, Komatsu Y, Kurata K. Self-consistent signal-to-noise analysis of Hopfield model with unit replacement. Neural Networks : the Official Journal of the International Neural Network Society. 23: 1180-6. PMID 20621446 DOI: 10.1016/j.neunet.2010.06.006 |
0.355 |
|
| 2010 |
Miyata R, Kurata K. Separated extraction of two kinds of information by oscillatory self-organizing neural model with the non-linear oscillatory fields Neuroscience Research. 68: e210. DOI: 10.1016/j.neures.2010.07.2499 |
0.37 |
|
| 2010 |
Miyata R, Muta S, Kurata K. Memory capacity and information capacity of sparsely encoded associative memory with replacement units Artificial Life and Robotics. 15: 291-295. DOI: 10.1007/s10015-010-0807-6 |
0.306 |
|
| 2009 |
Aoki T, Ota K, Kurata K, Aoyagi T. Ordering process of self-organizing maps improved by asymmetric neighborhood function. Cognitive Neurodynamics. 3: 9-15. PMID 19003459 DOI: 10.1007/s11571-008-9060-2 |
0.349 |
|
| 2008 |
Date A, Kurata K. A property of neural networks of associative memory with replacing units Artificial Life and Robotics. 12: 291-294. DOI: 10.1007/s10015-007-0484-2 |
0.311 |
|
| 2008 |
Oshiro N, Kurata K, Yamamoto T. A self-organizing VQ model of head-direction cells and grid cells Artificial Life and Robotics. 12: 206-209. DOI: 10.1007/s10015-007-0468-2 |
0.362 |
|
| 2007 |
Oshiro N, Kurata K, Yamamoto T. A self-organizing model of place cells with grid-structured receptive fields Artificial Life and Robotics. 11: 48-51. DOI: 10.1007/s10015-006-0398-4 |
0.358 |
|
| 2007 |
Date A, Kurata K. A model of complex cell development by information separation Systems and Computers in Japan. 38: 76-83. DOI: 10.1002/scj.20483 |
0.358 |
|
| 2005 |
Oshiro N, Kurata K. Separating visual information into position and direction by two inhibitory connected SOMs Artificial Life and Robotics. 9: 86-89. DOI: 10.1007/s10015-004-0329-1 |
0.395 |
|
| 2005 |
Date A, Kurata K. Separation of position and direction information of robots by a product model of self-organizing map and neural gas Systems and Computers in Japan. 36: 1-11. DOI: 10.1002/scj.20349 |
0.404 |
|
| 2004 |
Wada K, Kurata K, Okada M. Self-organization of globally continuous and locally distributed information representation. Neural Networks : the Official Journal of the International Neural Network Society. 17: 1039-49. PMID 15555850 DOI: 10.1016/j.neunet.2004.03.001 |
0.342 |
|
| 2004 |
Kurata K, Oshiro N. Separating visual information into position and direction by SOM Artificial Life and Robotics. 8: 5-8. DOI: 10.1007/s10015-004-0279-7 |
0.402 |
|
| 2004 |
Shirakura J, Kurata K. Nonlinear principal component analysis by learning nerve fields united by inhibitory connections Systems and Computers in Japan. 35: 68-78. DOI: 10.1002/scj.1230 |
0.38 |
|
| 2001 |
Shouno H, Kurata K. Formation of a direction map by projection learning using Kohonen's self-organization map. Biological Cybernetics. 85: 241-6. PMID 11592621 DOI: 10.1007/s004220100255 |
0.345 |
|
| 2000 |
Aonishi T, Kurata K. Extension of dynamic link matching by introducing local linear maps. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 11: 817-22. PMID 18249810 DOI: 10.1109/72.846754 |
0.352 |
|
| 2000 |
Hashimoto W, Kurata K. Properties of basis functions generated by shift invariant sparse representations of natural images. Biological Cybernetics. 83: 111-8. PMID 10966050 DOI: 10.1007/s004220000149 |
0.305 |
|
| 1999 |
Mitsutake M, Kida K, Wada K, Kurata K. Separate Extraction of Two Kind of Information by Self-Organizing-Overlapping-Map. The Brain & Neural Networks. 6: 196-202. DOI: 10.3902/JNNS.6.196 |
0.395 |
|
| 1998 |
Aonishi T, Kurata K. Deformation Theory of Dynamic Link Matching Neural Computation. 10: 651-69. PMID 9527837 DOI: 10.1162/089976698300017692 |
0.348 |
|
| 1998 |
Aonishi T, Kurata K, Mito T. A phase-locking theory of matching between rotated images by dynamic link matching Biological Cybernetics. 78: 253-264. DOI: 10.1007/S004220050431 |
0.328 |
|
| 1997 |
Sagawa Y, Kurata K. A Theory of Reference Vector Density of Self-Organizing Map and Function Approximation. The Brain & Neural Networks. 4: 3-9. DOI: 10.3902/JNNS.4.3 |
0.371 |
|
| 1996 |
Aonishi T, Kurata K. A Phase Locking Theory for Matching Common Parts of Two Images by Dynamic Link Architecture The Brain & Neural Networks. 3: 90-97. DOI: 10.3902/JNNS.3.90 |
0.329 |
|
| 1996 |
Mito T, Kurata K. A Phase Locking Theory of Restoration of Rotated Images by Dynamic Link Architecture The Brain & Neural Networks. 3: 51-57. DOI: 10.3902/JNNS.3.51 |
0.324 |
|
| 1996 |
Mimura K, Okada M, Kurata K. Capacity of autocorrelation associative memory with quantized synaptic weight Systems and Computers in Japan. 27: 55-63. DOI: 10.1002/scj.4690270506 |
0.31 |
|
| 1995 |
Miura K, Kurata K, Nagano T. Self-organization of the velocity selectivity of a directionally selective neural network. Biological Cybernetics. 73: 401-7. PMID 7578477 DOI: 10.1007/BF00201474 |
0.369 |
|
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