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 |
|
Show low-probability matches. |