| Year |
Citation |
Score |
| 2017 |
Miura K, Nakada K. Sparse Parallel Algorithms for Recognizing Touch Topology on Curved Interactive Screens Ieee Access. 5: 14889-14897. DOI: 10.1109/Access.2017.2733722 |
0.506 |
|
| 2016 |
Nakada K, Miura K, Asai T. Dynamical systems design of silicon neurons using phase reduction method Nonlinear Theory and Its Applications, Ieice. 7: 95-109. DOI: 10.1587/Nolta.7.95 |
0.562 |
|
| 2015 |
Miura K, Nakada K. Real-Time Computing of Touch Topology via Poincare–Hopf Index Ieee Access. 3: 2566-2571. DOI: 10.1109/Access.2015.2504387 |
0.507 |
|
| 2014 |
Miura K, Nakada K. Neural Implementation of Shape-Invariant Touch Counter Based on Euler Calculus Ieee Access. 2: 960-970. DOI: 10.1109/Access.2014.2351832 |
0.542 |
|
| 2013 |
Nakada K, Miura K, Asai T. Dynamical system design for silicon neurons using phase reduction approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 4997-5000. PMID 24110857 DOI: 10.1109/EMBC.2013.6610670 |
0.59 |
|
| 2012 |
Nakada K, Miura K, Asai T, Tanaka HA. Dynamical systems design of nonlinear oscillators using phase reduction approach Ieee Asia-Pacific Conference On Circuits and Systems, Proceedings, Apccas. 308-311. DOI: 10.1109/APCCAS.2012.6419033 |
0.531 |
|
| 2012 |
Nakada K, Miura K, Hayashi H. Noise-induced Phenomena in Two Strongly Pulse-coupled Spiking Neurons Procedia Iutam. 5: 272-278. DOI: 10.1016/J.Piutam.2012.06.037 |
0.571 |
|
| 2010 |
Oizumi M, Miura K, Okada M. Analytical investigation of the effects of lateral connections on the accuracy of population coding. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 051905. PMID 20866259 DOI: 10.1103/Physreve.81.051905 |
0.496 |
|
| 2009 |
Watanabe K, Tanaka H, Miura K, Okada M. Transfer matrix method for instantaneous spike rate estimation Ieice Transactions On Information and Systems. 1362-1368. DOI: 10.1587/Transinf.E92.D.1362 |
0.491 |
|
| 2008 |
Tanaka H, Miura K, Okada M. Image Restoration with a Truncated Gaussian Model Journal of the Physical Society of Japan. 77: 034003. DOI: 10.1143/Jpsj.77.034003 |
0.446 |
|
| 2008 |
NAKADA K, MIURA K, HAYASHI H. BURST SYNCHRONIZATION AND CHAOTIC PHENOMENA IN TWO STRONGLY COUPLED RESONATE-AND-FIRE NEURONS International Journal of Bifurcation and Chaos. 18: 1249-1259. DOI: 10.1142/S0218127408020999 |
0.608 |
|
| 2007 |
Miura K, Tsubo Y, Okada M, Fukai T. Balanced excitatory and inhibitory inputs to cortical neurons decouple firing irregularity from rate modulations. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 13802-12. PMID 18077692 DOI: 10.1523/Jneurosci.2452-07.2007 |
0.537 |
|
| 2007 |
Miura K, Tsubo Y, Fukai T, Okada M. Balanced inputs “clamps” firing irregularity decoupled from rate fluctuations on any timescale Neuroscience Research. 58: S40. DOI: 10.1016/J.Neures.2007.06.234 |
0.468 |
|
| 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 |
0.579 |
|
| 2006 |
Miura K, Okada M. Globally Coupled Resonate-and-Fire Models Progress of Theoretical Physics Supplement. 161: 255-259. DOI: 10.1143/Ptps.161.255 |
0.537 |
|
| 2006 |
Miura K, Okada M. Pulse‐coupled resonate‐and‐fire models Electronics and Communications in Japan Part Ii-Electronics. 89: 21-28. DOI: 10.1002/Ecjb.20277 |
0.492 |
|
| 2004 |
Miura K, Okada M. Pulse-coupled resonate-and-fire models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 70: 021914. PMID 15447522 DOI: 10.1103/Physreve.70.021914 |
0.532 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2019 |
Ishikawa T, Matsumoto H, Miura K. Identification of midbrain dopamine neurons using features from spontaneous spike activity patterns. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 2990-2993. PMID 31946517 DOI: 10.1109/EMBC.2019.8857574 |
0.224 |
|
| 2013 |
Wang AY, Miura K, Uchida N. The dorsomedial striatum encodes net expected return, critical for energizing performance vigor. Nature Neuroscience. 16: 639-47. PMID 23584742 DOI: 10.1038/nn.3377 |
0.199 |
|
| 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 |
0.174 |
|
| 2012 |
Miura K, Mainen ZF, Uchida N. Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity. Neuron. 74: 1087-98. PMID 22726838 DOI: 10.1016/j.neuron.2012.04.021 |
0.156 |
|
| 2022 |
Yoshida R, Takamori M, Matsumoto H, Miura K. Tropical support vector machines: Evaluations and extension to function spaces. Neural Networks : the Official Journal of the International Neural Network Society. 157: 77-89. PMID 36334541 DOI: 10.1016/j.neunet.2022.10.002 |
0.146 |
|
| 2019 |
Takahashi T, Maruyama Y, Ito H, Miura K. Assessing the Impacts of Correlated Variability with Dissociated Timescales. Eneuro. 6. PMID 30906854 DOI: 10.1523/ENEURO.0395-18.2019 |
0.145 |
|
| 2008 |
Miura K, Uchida N. A rate-independent measure of irregularity for event series and its application to neural spiking activity Proceedings of the Ieee Conference On Decision and Control. 2006-2011. DOI: 10.1109/CDC.2008.4739083 |
0.139 |
|
| 2015 |
Miura K, Aoki T. Hodge-Kodaira decomposition of evolving neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 62: 20-4. PMID 24958507 DOI: 10.1016/j.neunet.2014.05.021 |
0.136 |
|
| 2011 |
MIURA K. An Introduction to Maximum Likelihood Estimation and Information Geometry Interdisciplinary Information Sciences. 17: 155-174. DOI: 10.4036/IIS.2011.155 |
0.107 |
|
| 2011 |
Miura K. An unbiased estimator of noise correlations under signal drift Neuroscience Research. 71: e291. DOI: 10.1016/j.neures.2011.07.1270 |
0.097 |
|
| 2023 |
Konishi M, Igarashi KM, Miura K. Biologically plausible local synaptic learning rules robustly implement deep supervised learning. Frontiers in Neuroscience. 17: 1160899. PMID 37886676 DOI: 10.3389/fnins.2023.1160899 |
0.087 |
|
| 2013 |
MIURA K. A Semiparametric Covariance Estimator Immune to Arbitrary Signal Drift Interdisciplinary Information Sciences. 19: 35-41. DOI: 10.4036/IIS.2013.35 |
0.071 |
|
| 2015 |
Miura K, Aoki T. Scaling of Hodge-Kodaira decomposition distinguishes learning rules of neural networks Ifac Proceedings Volumes (Ifac-Papersonline). 48: 175-180. DOI: 10.1016/j.ifacol.2015.11.032 |
0.064 |
|
| 2012 |
Miura K, Aoun K, Yoshida S, Kurosawa Y. Autoantibodies directed against labile epitopes on cell surface proteins in autoimmune disease patients: proposal of a novel ELISA for the detection of anti-endothelial cell antibodies. Journal of Immunological Methods. 382: 32-9. PMID 22580760 DOI: 10.1016/j.jim.2012.05.002 |
0.045 |
|
| 2016 |
Kondo A, Takahashi K, Mizuno T, Kato A, Hirano D, Yamamoto N, Hayashi H, Koide S, Takahashi H, Hasegawa M, Hiki Y, Yoshida S, Miura K, Yuzawa Y. The Level of IgA Antibodies to Endothelial Cells Correlates with Histological Evidence of Disease Activity in Patients with Lupus Nephritis. Plos One. 11: e0163085. PMID 27788140 DOI: 10.1371/journal.pone.0163085 |
0.022 |
|
| 2006 |
Kurosawa G, Takamatsu N, Takahashi M, Sumitomo M, Sanaka E, Yamada K, Nishii K, Matsuda M, Asakawa S, Ishiguro H, Miura K, Kurosawa Y, Shimizu N, Kohara Y, Hori H. Organization and structure of hox gene loci in medaka genome and comparison with those of pufferfish and zebrafish genomes. Gene. 370: 75-82. PMID 16472944 DOI: 10.1016/j.gene.2005.11.015 |
0.019 |
|
| Hide low-probability matches. |