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Keisuke Ota, Ph. D - Publications

Affiliations: 
BSI RIKEN 
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21 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
2022 Ota K, Uwamori H, Ode T, Murayama M. Breaking trade-offs: Development of fast, high-resolution, wide-field two-photon microscopes to reveal the computational principles of the brain. Neuroscience Research. PMID 35390357 DOI: 10.1016/j.neures.2022.03.010  0.487
2022 Ito T, Ota K, Ueno K, Oisi Y, Matsubara C, Kobayashi K, Ohkura M, Nakai J, Murayama M, Aonishi T. Low computational-cost cell detection method for calcium imaging data. Neuroscience Research. PMID 35382938 DOI: 10.1016/j.neures.2022.02.008  0.644
2021 Aonishi T, Maruyama R, Ito T, Miyakawa H, Murayama M, Ota K. Imaging data analysis using non-negative matrix factorization. Neuroscience Research. PMID 34953961 DOI: 10.1016/j.neures.2021.12.001  0.681
2021 Oomoto I, Uwamori H, Matsubara C, Odagawa M, Kobayashi M, Kobayashi K, Ota K, Murayama M. Protocol for cortical-wide field-of-view two-photon imaging with quick neonatal adeno-associated virus injection. Star Protocols. 2: 101007. PMID 34950887 DOI: 10.1016/j.xpro.2021.101007  0.428
2021 Ota K, Oisi Y, Suzuki T, Ikeda M, Ito Y, Ito T, Uwamori H, Kobayashi K, Kobayashi M, Odagawa M, Matsubara C, Kuroiwa Y, Horikoshi M, Matsushita J, Hioki H, et al. Fast, cell-resolution, contiguous-wide two-photon imaging to reveal functional network architectures across multi-modal cortical areas. Neuron. PMID 33878295 DOI: 10.1016/j.neuron.2021.03.032  0.729
2015 Manita S, Suzuki T, Homma C, Matsumoto T, Odagawa M, Yamada K, Ota K, Matsubara C, Inutsuka A, Sato M, Ohkura M, Yamanaka A, Yanagawa Y, Nakai J, Hayashi Y, et al. A Top-Down Cortical Circuit for Accurate Sensory Perception. Neuron. 86: 1304-16. PMID 26004915 DOI: 10.1016/J.Neuron.2015.05.006  0.71
2014 Takekawa T, Ota K, Murayama M, Fukai T. Spike detection from noisy neural data in linear-probe recordings. The European Journal of Neuroscience. 39: 1943-50. PMID 24827558 DOI: 10.1111/Ejn.12614  0.508
2014 Ota K, Matsumoto T, Yazaki-Sugiyama Y, Suzuki T, Kamoshida A, Murayama M. Automated intracellular recording from multiple neurons in vivo Ieej Transactions On Electronics, Information and Systems. 134: 1506-1514. DOI: 10.1541/Ieejeiss.134.1506  0.622
2014 Ota K, Matsumoto T, Yazaki-Sugiyama Y, Suzuki T, Kamoshida A, Murayama M. Automated intracellular recording system for simultaneous multicellular recording in vivo Transactions of Japanese Society For Medical and Biological Engineering. 52: SY-74-SY-75. DOI: 10.11239/jsmbe.52.SY-74  0.409
2013 Miyata R, Ota K, Aonishi T. Optimal design for hetero-associative memory: hippocampal CA1 phase response curve and spike-timing-dependent plasticity. Plos One. 8: e77395. PMID 24204822 DOI: 10.1371/Journal.Pone.0077395  0.652
2013 Miyata R, Ota K, Aonishi T. Optimal pair of hippocampal CA1 phase response curve and spike-timing-dependent plasticity for hetero-associative memory Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P9  0.649
2012 Ota K, Omori T, Miyakawa H, Okada M, Aonishi T. Higher-order spike triggered analysis of neural oscillators. Plos One. 7: e50232. PMID 23226249 DOI: 10.1371/Journal.Pone.0050232  0.72
2011 Ota K, Omori T, Watanabe S, Miyakawa H, Okada M, Aonishi T. Measurement of infinitesimal phase response curves from noisy real neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 041902. PMID 22181170 DOI: 10.1103/Physreve.84.041902  0.725
2010 Ota K, Omori T, Watanabe S, Miyakawa H, Okada M, Aonishi T. Identification of neural feature space from spike triggered covariance expressed as a function of PRC Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P14  0.732
2010 Aonishi T, Tsunoda T, Omori T, Okada M, Miyakawa H, Ota K. Bayesian method and dynamic clamp technique to measure neural phase-response curves Neuroscience Research. 68: e46. DOI: 10.1016/J.Neures.2010.07.448  0.678
2010 Ota K, Omori T, Watanabe S, Miyakawa H, Okada M, Aonishi T. Derivation of the neural feature space for oscillating neurons from spike triggered covariance Neuroscience Research. 68: e435. DOI: 10.1016/J.Neures.2010.07.1929  0.705
2009 Ota K, Omori T, Aonishi T. MAP estimation algorithm for phase response curves based on analysis of the observation process. Journal of Computational Neuroscience. 26: 185-202. PMID 18751879 DOI: 10.1007/S10827-008-0104-8  0.628
2009 Ota K, Omori T, Watanabe S, Miyakawa H, Okada M, Aonishi T. Is the Langevin phase equation an efficient model for stochastic limit cycle oscillators in real neurons? Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P236  0.698
2009 Ota K, Tsunoda T, Omori T, Watanabe S, Miyakawa H, Okada M, Aonishi T. Is the Langevin phase equation an efficient model for oscillating neurons? Journal of Physics: Conference Series. 197. DOI: 10.1088/1742-6596/197/1/012016  0.687
2007 Ota K, Aonishi T, Watanabe S, Miyakawa H, Omori T, Okada M. Perturbation response measurements in hippocampal CA1 pyramidal neuron based on Bayesian statistics Neuroscience Research. 58: S185. DOI: 10.1016/J.Neures.2007.06.810  0.704
2006 Aonishi T, Ota K. Statistical estimation algorithm for phase response curves Journal of the Physical Society of Japan. 75. DOI: 10.1143/Jpsj.75.114802  0.64
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