Shigeru Shinomoto, Ph.D. - Publications

Affiliations: 
Kyoto University, Kyōto-shi, Kyōto-fu, Japan 

66 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
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, ... ... Shinomoto S, 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  1
2016 Mochizuki Y, Onaga T, Shimazaki H, Shimokawa T, Tsubo Y, Kimura R, Saiki A, Sakai Y, Isomura Y, Fujisawa S, Shibata K, Hirai D, Furuta T, Kaneko T, Takahashi S, ... ... Shinomoto S, et al. Similarity in Neuronal Firing Regimes across Mammalian Species. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 5736-47. PMID 27225764 DOI: 10.1523/JNEUROSCI.0230-16.2016  1
2016 Kostal L, Shinomoto S. Efficient information transfer by poisson neurons Mathematical Biosciences and Engineering. 13: 509-520. DOI: 10.3934/mbe.2016004  1
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  0.56
2015 Onaga T, Shinomoto S. Bursting activity spreading through asymmetric interactions Proceedings - 10th International Conference On Signal-Image Technology and Internet-Based Systems, Sitis 2014. 388-395. DOI: 10.1109/SITIS.2014.66  1
2014 Mochizuki Y, Shinomoto S. Analog and digital codes in the brain. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 022705. PMID 25353507 DOI: 10.1103/PhysRevE.89.022705  1
2014 Onaga T, Shinomoto S. Bursting transition in a linear self-exciting point process. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 89: 042817. PMID 24827303 DOI: 10.1103/PhysRevE.89.042817  1
2014 Kim H, Shinomoto S. Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation. Mathematical Biosciences and Engineering : Mbe. 11: 49-62. PMID 24245682 DOI: 10.3934/mbe.2014.11.49  1
2013 Shinomoto S, Kim H. Estimating inputs and an internal neuronal parameter from a single spike train. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 7096-9. PMID 24111380 DOI: 10.1109/EMBC.2013.6611193  1
2013 Koyama S, Omi T, Kass RE, Shinomoto S. Information transmission using non-poisson regular firing. Neural Computation. 25: 854-76. PMID 23339613 DOI: 10.1162/NECO_a_00420  1
2012 Kim H, Shinomoto S. Estimating nonstationary input signals from a single neuronal spike train. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 051903. PMID 23214810 DOI: 10.1103/PhysRevE.86.051903  1
2012 Shintani T, Shinomoto S. Detection limit for rate fluctuations in inhomogeneous Poisson processes. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 041139. PMID 22680450 DOI: 10.1103/PhysRevE.85.041139  1
2012 Kim H, Richmond BJ, Shinomoto S. Neurons as ideal change-point detectors. Journal of Computational Neuroscience. 32: 137-46. PMID 21643776 DOI: 10.1007/s10827-011-0344-x  1
2011 Yamauchi S, Kim H, Shinomoto S. Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times. Frontiers in Computational Neuroscience. 5: 42. PMID 22203798 DOI: 10.3389/fncom.2011.00042  1
2011 Kobayashi R, Shinomoto S, Lansky P. Estimation of time-dependent input from neuronal membrane potential. Neural Computation. 23: 3070-93. PMID 21919789 DOI: 10.1162/NECO_a_00205  1
2011 Omi T, Shinomoto S. Optimizing time histograms for non-Poissonian spike trains. Neural Computation. 23: 3125-44. PMID 21919781 DOI: 10.1162/NECO_a_00213  1
2011 Shinomoto S, Omi T, Mita A, Mushiake H, Shima K, Matsuzaka Y, Tanji J. Deciphering elapsed time and predicting action timing from neuronal population signals. Frontiers in Computational Neuroscience. 5: 29. PMID 21734877 DOI: 10.3389/fncom.2011.00029  1
2011 Omi T, Kanter I, Shinomoto S. Optimal observation time window for forecasting the next earthquake. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 026101. PMID 21405883 DOI: 10.1103/PhysRevE.83.026101  1
2011 Kobayashi R, Tsubo Y, Lansky P, Shinomoto S. Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2010 Shinomoto S. Fitting a stochastic spiking model to neuronal current injection data. Neural Networks : the Official Journal of the International Neural Network Society. 23: 764-9. PMID 20478693 DOI: 10.1016/j.neunet.2010.04.004  1
2010 Shimokawa T, Koyama S, Shinomoto S. A characterization of the time-rescaled gamma process as a model for spike trains. Journal of Computational Neuroscience. 29: 183-91. PMID 19844786 DOI: 10.1007/s10827-009-0194-y  1
2010 Shimazaki H, Shinomoto S. Kernel bandwidth optimization in spike rate estimation. Journal of Computational Neuroscience. 29: 171-82. PMID 19655238 DOI: 10.1007/s10827-009-0180-4  1
2010 Zhao X, Omi T, Matsuno N, Shinomoto S. A non-universal aspect in the temporal occurrence of earthquakes New Journal of Physics. 12. DOI: 10.1088/1367-2630/12/6/063010  1
2009 Kobayashi R, Tsubo Y, Shinomoto S. Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in Computational Neuroscience. 3: 9. PMID 19668702 DOI: 10.3389/neuro.10.009.2009  1
2009 Shinomoto S, Kim H, Shimokawa T, Matsuno N, Funahashi S, Shima K, Fujita I, Tamura H, Doi T, Kawano K, Inaba N, Fukushima K, Kurkin S, Kurata K, Taira M, et al. Relating neuronal firing patterns to functional differentiation of cerebral cortex. Plos Computational Biology. 5: e1000433. PMID 19593378 DOI: 10.1371/journal.pcbi.1000433  1
2009 Shimokawa T, Shinomoto S. Estimating instantaneous irregularity of neuronal firing. Neural Computation. 21: 1931-51. PMID 19323639 DOI: 10.1162/neco.2009.08-08-841  1
2008 Omi T, Shinomoto S. Can distributed delays perfectly stabilize dynamical networks? Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 77: 046214. PMID 18517717 DOI: 10.1103/PhysRevE.77.046214  1
2008 Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W. A benchmark test for a quantitative assessment of simple neuron models. Journal of Neuroscience Methods. 169: 417-24. PMID 18160135 DOI: 10.1016/j.jneumeth.2007.11.006  1
2007 Omi T, Shinomoto S. Reverberating activity in a neural network with distributed signal transmission delays. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 76: 051908. PMID 18233688 DOI: 10.1103/PhysRevE.76.051908  1
2007 Shinomoto S, Koyama S. A solution to the controversy between rate and temporal coding. Statistics in Medicine. 26: 4032-8. PMID 17525932 DOI: 10.1002/sim.2932  1
2007 Shimazaki H, Shinomoto S. A method for selecting the bin size of a time histogram. Neural Computation. 19: 1503-27. PMID 17444758 DOI: 10.1162/neco.2007.19.6.1503  1
2007 Kobayashi R, Shinomoto S. State space method for predicting the spike times of a neuron. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 75: 011925. PMID 17358202 DOI: 10.1103/PhysRevE.75.011925  1
2007 Inaba N, Shinomoto S, Yamane S, Takemura A, Kawano K. MST neurons code for visual motion in space independent of pursuit eye movements. Journal of Neurophysiology. 97: 3473-83. PMID 17329625 DOI: 10.1152/jn.01054.2006  1
2007 Koyama S, Shinomoto S. Inference of intrinsic spiking irregularity based on the Kullback-Leibler information. Bio Systems. 89: 69-73. PMID 17321039 DOI: 10.1016/j.biosystems.2006.05.012  1
2007 Koyama S, Shimokawa T, Shinomoto S. Phase transitions in the estimation of event rate: A path integral analysis Journal of Physics a: Mathematical and Theoretical. 40: F383-F390. DOI: 10.1088/1751-8113/40/20/F01  1
2007 Shimazaki H, Shinomoto S. A recipe for optimizing a time-histogram Advances in Neural Information Processing Systems. 1289-1296.  1
2007 Kobayashi R, Shinomoto S. Predicting spike times from subthreshold dynamics of a neuron Advances in Neural Information Processing Systems. 721-728.  1
2006 Shimokawa T, Shinomoto S. Inhibitory neurons can facilitate rhythmic activity in a neural network. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 066221. PMID 16906960 DOI: 10.1103/PhysRevE.73.066221  1
2006 Kuramoto Y, Shinomoto S, Nakao H, Ohta T. Progress of Theoretical Physics Supplement: Preface Progress of Theoretical Physics Supplement. 161: i.  1
2005 Shinomoto S, Miyazaki Y, Tamura H, Fujita I. Regional and laminar differences in in vivo firing patterns of primate cortical neurons. Journal of Neurophysiology. 94: 567-75. PMID 15758054 DOI: 10.1152/jn.00896.2004  1
2005 Shinomoto S, Miura K, Koyama S. A measure of local variation of inter-spike intervals. Bio Systems. 79: 67-72. PMID 15649590 DOI: 10.1016/j.biosystems.2004.09.023  1
2005 Kobayashi R, Miyazaki Y, Shinomoto S. Faithful and unfaithful students in time series learning Ima Journal of Applied Mathematics (Institute of Mathematics and Its Applications). 70: 657-665. DOI: 10.1093/imamat/hxh090  1
2005 Koyama S, Shinomoto S. Empirical Bayes interpretations of random point events Journal of Physics a: Mathematical and General. 38: L531-L537. DOI: 10.1088/0305-4470/38/29/L04  1
2004 Tsubo Y, Kaneko T, Shinomoto S. Predicting spike timings of current-injected neurons. Neural Networks : the Official Journal of the International Neural Network Society. 17: 165-73. PMID 15036335 DOI: 10.1016/j.neunet.2003.11.005  1
2004 Koyama S, Shinomoto S. Histogram bin width selection for time-dependent Poisson processes Journal of Physics a: Mathematical and General. 37: 7255-7265. DOI: 10.1088/0305-4470/37/29/006  1
2003 Shinomoto S, Shima K, Tanji J. Differences in spiking patterns among cortical neurons. Neural Computation. 15: 2823-42. PMID 14629869 DOI: 10.1162/089976603322518759  1
2003 Miyazaki Y, Kinzel W, Shinomoto S. Learning of time series through neuron-to-neuron instruction Journal of Physics a: Mathematical and General. 36: 1315-1322. DOI: 10.1088/0305-4470/36/5/309  1
2002 Shinomoto S, Sakai Y, Ohno H. Recording site dependence of the neuronal spiking statistics. Bio Systems. 67: 259-63. PMID 12459306 DOI: 10.1016/S0303-2647(02)00083-7  1
2002 Shinomoto S, Shima K, Tanji J. New classification scheme of cortical sites with the neuronal spiking characteristics. Neural Networks : the Official Journal of the International Neural Network Society. 15: 1165-9. PMID 12425435 DOI: 10.1016/S0893-6080(02)00093-X  1
2001 Shinomoto S, Tsubo Y. Modeling spiking behavior of neurons with time-dependent Poisson processes. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 64: 041910. PMID 11690055  1
1999 Sakai Y, Funahashi S, Shinomoto S. Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons. Neural Networks : the Official Journal of the International Neural Network Society. 12: 1181-1190. PMID 12662653 DOI: 10.1016/S0893-6080(99)00053-2  1
1999 Shinomoto S, Sakai Y, Funahashi S. The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex. Neural Computation. 11: 935-51. PMID 10226190  1
1998 Shinomoto S, Sakai Y. Spiking mechanisms of cortical neurons Philosophical Magazine B: Physics of Condensed Matter; Statistical Mechanics, Electronic, Optical and Magnetic Properties. 77: 1549-1555.  1
1997 Aihara T, Tsukada M, Crair MC, Shinomoto S. Stimulus-dependent induction of long-term potentiation in CA1 area of the hippocampus: experiment and model. Hippocampus. 7: 416-26. PMID 9287081 DOI: 10.1002/(SICI)1098-1063(1997)7:4<416::AID-HIPO7>3.0.CO;2-G  1
1993 Kabashima Y, Shinomoto S. Acceleration of learning in binary choice problems . 446-452.  1
1993 Kabashima Y, Shinomoto S. Incremental learning with and without queries in binary choice problems Proceedings of the International Joint Conference On Neural Networks. 2: 1637-1640.  1
1991 Shinomoto S, Kabashima Y. Finite time scaling of energy in simulated annealing Journal of Physics a: Mathematical and General. 24: L141-L144. DOI: 10.1088/0305-4470/24/3/008  1
1991 Kabashima Y, Shinomoto S. Asymptotic dependence of the residual energy on annealing time Journal of the Physical Society of Japan. 60: 3993-3996.  1
1990 Shinomoto S. Information classification scheme of feedforward networks organised under unsupervised learning Network: Computation in Neural Systems. 1: 135-147. DOI: 10.1088/0954-898X_1_2_002  1
1987 Shinomoto S. A cognitive and associative memory. Biological Cybernetics. 57: 197-206. PMID 3676357 DOI: 10.1007/BF00364151  1
1987 Shinomoto S. Memory maintenance in neural networks Journal of Physics a: Mathematical and General. 20: L1305-L1309. DOI: 10.1088/0305-4470/20/18/015  1
1984 Shinomoto S, Morita T. Application of the cluster variation method to the hole theory of fluids Physica a: Statistical Mechanics and Its Applications. 127: 141-151. DOI: 10.1016/0378-4371(84)90124-9  1
1984 Shinomoto S, Morita T. FREE VOLUME OF THE HOLE THEORY OF FLUIDS Technology Reports of the Tohoku University. 49: 103-114.  1
1983 Shinomoto S. Equilibrium theory for the hard-core systems Journal of Statistical Physics. 32: 105-113. DOI: 10.1007/BF01009423  1
1982 Shinomoto S. Direct proof of the H-theorem for the (two-body) Bogolubov-Green-Cohen equation Physica a: Statistical Mechanics and Its Applications. 112: 466-478. DOI: 10.1016/0378-4371(82)90188-1  1
1982 Shinomoto S. Elementary theory of the equation of state and the pair distribution function for the hard sphere system Physics Letters A. 89: 19-22. DOI: 10.1016/0375-9601(82)90136-0  1
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