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Shun-ichi Amari - Publications

Affiliations: 
RIKEN 
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48 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Ito S, Oizumi M, Amari S. Unified framework for the entropy production and the stochastic interaction based on information geometry Physical Review Research. 2. DOI: 10.1103/Physrevresearch.2.033048  0.691
2019 Amari SI, Karakida R, Oizumi M, Cuturi M. Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. Neural Computation. 1-22. PMID 30883281 DOI: 10.1162/Neco_A_01178  0.687
2019 Amari S, Karakida R, Oizumi M. Statistical neurodynamics of deep networks: geometry of signal spaces Nonlinear Theory and Its Applications, Ieice. 10: 322-336. DOI: 10.1587/Nolta.10.322  0.679
2019 Yoshida Y, Karakida R, Okada M, Amari S. Statistical mechanical analysis of learning dynamics of two-layer perceptron with multiple output units Journal of Physics a: Mathematical and Theoretical. 52: 184002. DOI: 10.1088/1751-8121/AB0669  0.439
2018 Kass RE, Amari SI, Arai K, Brown EN, Diekman CO, Diesmann M, Doiron B, Eden UT, Fairhall AL, Fiddyment GM, Fukai T, Grün S, Harrison MT, Helias M, Nakahara H, et al. Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214. PMID 30976604 DOI: 10.1146/annurev-statistics-041715-033733  0.659
2018 Amari S, Karakida R, Oizumi M. Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem Information Geometry. 1: 13-37. DOI: 10.1007/s41884-018-0002-8  0.67
2017 Amari SI, Ozeki T, Karakida R, Yoshida Y, Okada M. Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. Neural Computation. 1-33. PMID 29064781 DOI: 10.1162/neco_a_01029  0.462
2017 Yoshida Y, Karakida R, Okada M, Amari S. Statistical Mechanical Analysis of Online Learning with Weight Normalization in Single Layer Perceptron Journal of the Physical Society of Japan. 86: 044002. DOI: 10.7566/JPSJ.86.044002  0.46
2016 Oizumi M, Tsuchiya N, Amari SI. Unified framework for information integration based on information geometry. Proceedings of the National Academy of Sciences of the United States of America. PMID 27930289 DOI: 10.1073/Pnas.1603583113  0.724
2016 Karakida R, Okada M, Amari SI. Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units. Neural Networks : the Official Journal of the International Neural Network Society. 79: 78-87. PMID 27131468 DOI: 10.1016/j.neunet.2016.03.013  0.442
2016 Oizumi M, Amari S, Yanagawa T, Fujii N, Tsuchiya N. Measuring Integrated Information from the Decoding Perspective. Plos Computational Biology. 12: e1004654. PMID 26796119 DOI: 10.1371/Journal.Pcbi.1004654  0.735
2015 MaBouDi H, Shimazaki H, Amari SI, Soltanian-Zadeh H. Representation of higher-order statistical structures in natural scenes via spatial phase distributions. Vision Research. PMID 26278166 DOI: 10.1016/J.Visres.2015.06.009  0.738
2015 Zhao Q, Zhou G, Zhang L, Cichocki A, Amari SI. Bayesian Robust Tensor Factorization for Incomplete Multiway Data. Ieee Transactions On Neural Networks and Learning Systems. PMID 26068876 DOI: 10.1109/Tnnls.2015.2423694  0.334
2015 Yamanaka Y, Amari S, Shinomoto S. Microscopic instability in recurrent neural networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 032921. PMID 25871186 DOI: 10.1103/Physreve.91.032921  0.589
2013 Amari S, Ando H, Toyoizumi T, Masuda N. State concentration exponent as a measure of quickness in Kauffman-type networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 87: 022814. PMID 23496575 DOI: 10.1103/Physreve.87.022814  0.605
2012 Shimazaki H, Amari S, Brown EN, Grün S. State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. Plos Computational Biology. 8: e1002385. PMID 22412358 DOI: 10.1371/Journal.Pcbi.1002385  0.545
2011 Oizumi M, Okada M, Amari S. Information loss associated with imperfect observation and mismatched decoding. Frontiers in Computational Neuroscience. 5: 9. PMID 21629857 DOI: 10.3389/Fncom.2011.00009  0.731
2009 Tatsuno M, Fellous JM, Amari S. Information-geometric measures as robust estimators of connection strengths and external inputs. Neural Computation. 21: 2309-35. PMID 19538092 DOI: 10.1162/Neco.2009.04-08-748  0.596
2009 Shimazaki H, Amari S, Brown EN, Grün S. Bayes factor analysis for detection of time-dependent higher-order spike correlations Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P99  0.55
2009 Shimazaki H, Amari SI, Brown EN, Grün S. State-space analysis on time-varying correlations in parallel spike sequences Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3501-3504. DOI: 10.1109/ICASSP.2009.4960380  0.441
2009 Wu S, Amari SI. On the condition for fast neural computation Proceedings of the Ieee Conference On Decision and Control. 4487-4492. DOI: 10.1109/CDC.2009.5399682  0.408
2008 Wu S, Hamaguchi K, Amari S. Dynamics and computation of continuous attractors. Neural Computation. 20: 994-1025. PMID 18085986 DOI: 10.1162/Neco.2008.10-06-378  0.643
2008 Wei H, Zhang J, Cousseau F, Ozeki T, Amari S. Dynamics of learning near singularities in layered networks. Neural Computation. 20: 813-43. PMID 18045020 DOI: 10.1162/neco.2007.12-06-414  0.306
2006 Toyoizumi T, Aihara K, Amari S. Fisher information for spike-based population decoding. Physical Review Letters. 97: 098102. PMID 17026405 DOI: 10.1103/Physrevlett.97.098102  0.634
2006 Miura K, Okada M, Amari S. Estimating spiking irregularities under changing environments. Neural Computation. 18: 2359-86. PMID 16907630 DOI: 10.1162/Neco.2006.18.10.2359  0.729
2006 Nakamura W, Anami K, Mori T, Saitoh O, Cichocki A, Amari S. Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. Ieee Transactions On Bio-Medical Engineering. 53: 1294-308. PMID 16830934 DOI: 10.1109/Tbme.2006.875718  0.469
2006 Amari S, Nakahara H. Correlation and independence in the neural code. Neural Computation. 18: 1259-67. PMID 16764504 DOI: 10.1162/neco.2006.18.6.1259  0.309
2006 Amari S, Park H, Ozeki T. Singularities affect dynamics of learning in neuromanifolds. Neural Computation. 18: 1007-65. PMID 16595057 DOI: 10.1162/089976606776241002  0.337
2006 Nakahara H, Amari S, Richmond BJ. A comparison of descriptive models of a single spike train by information-geometric measure. Neural Computation. 18: 545-68. PMID 16483407 DOI: 10.1162/089976606775623289  0.321
2005 Wu S, Amari S. Computing with continuous attractors: stability and online aspects. Neural Computation. 17: 2215-39. PMID 16105223 DOI: 10.1162/0899766054615626  0.476
2005 Amari S, Nakahara H. Difficulty of singularity in population coding. Neural Computation. 17: 839-58. PMID 15829091 DOI: 10.1162/0899766053429426  0.333
2004 Zhang L, Cichocki A, Amari S. Self-adaptive blind source separation based on activation functions adaptation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 233-44. PMID 15384517 DOI: 10.1109/Tnn.2004.824420  0.309
2004 Wu S, Amari S, Nakahara H. Information processing in a neuron ensemble with the multiplicative correlation structure. Neural Networks : the Official Journal of the International Neural Network Society. 17: 205-14. PMID 15036338 DOI: 10.1016/J.Neunet.2003.10.003  0.476
2004 Park H, Murata N, Amari S. Improving generalization performance of natural gradient learning using optimized regularization by NIC. Neural Computation. 16: 355-82. PMID 15006100 DOI: 10.1162/089976604322742065  0.313
2003 Wu S, Chen D, Niranjan M, Amari S. Sequential Bayesian decoding with a population of neurons. Neural Computation. 15: 993-1012. PMID 12803954 DOI: 10.1162/089976603765202631  0.476
2003 Amari S, Nakahara H, Wu S, Sakai Y. Synchronous firing and higher-order interactions in neuron pool. Neural Computation. 15: 127-42. PMID 12590822 DOI: 10.1162/089976603321043720  0.476
2002 Nakahara H, Amari S. Information-geometric measure for neural spikes. Neural Computation. 14: 2269-316. PMID 12396564 DOI: 10.1162/08997660260293238  0.337
2002 Wu S, Amari S, Nakahara H. Population coding and decoding in a neural field: a computational study. Neural Computation. 14: 999-1026. PMID 11972905 DOI: 10.1162/089976602753633367  0.476
2002 Choi S, Cichocki A, Amari S. Equivariant nonstationary source separation. Neural Networks : the Official Journal of the International Neural Network Society. 15: 121-30. PMID 11958485 DOI: 10.1016/S0893-6080(01)00137-X  0.31
2002 Wu S, Amari SI. Conformal transformation of kernel functions: A data-dependent way to improve support vector machine classifiers Neural Processing Letters. 15: 59-67. DOI: 10.1023/A:1013848912046  0.476
2002 Wu S, Amari SI. Neural implementation of Bayesian inference in population codes Advances in Neural Information Processing Systems.  0.408
2001 Nakahara H, Wu S, Amari S. Attention modulation of neural tuning through peak and base rate. Neural Computation. 13: 2031-47. PMID 11516356 DOI: 10.1162/089976601750399290  0.476
2001 Wu S, Nakahara H, Amari S. Population coding with correlation and an unfaithful model. Neural Computation. 13: 775-97. PMID 11255569 DOI: 10.1162/089976601300014349  0.476
1999 Amari S, Wu S. Improving support vector machine classifiers by modifying kernel functions. Neural Networks : the Official Journal of the International Neural Network Society. 12: 783-789. PMID 12662656 DOI: 10.1016/S0893-6080(99)00032-5  0.476
1998 Yang HH, Amari S, Cichocki A. Information–theoretic approach to blind separation of sources in non-linear mixture Signal Processing. 64: 291-300. DOI: 10.1016/S0165-1684(97)00196-5  0.311
1997 Yang HH, Amari SI. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information Neural Computation. 9: 1457-1482. DOI: 10.1162/Neco.1997.9.7.1457  0.331
1994 Murata N, Yoshizawa S, Amari S. Network information criterion-determining the number of hidden units for an artificial neural network model. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 5: 865-72. PMID 18267861 DOI: 10.1109/72.329683  0.328
1992 Amari S, Fujita N, Shinomoto S. Four Types of Learning Curves Neural Computation. 4: 605-618. DOI: 10.1162/Neco.1992.4.4.605  0.589
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