Year |
Citation |
Score |
2021 |
Ishizu K, Shiramatsu TI, Hitsuyu R, Oizumi M, Tsuchiya N, Takahashi H. Information flow in the rat thalamo-cortical system: spontaneous vs. stimulus-evoked activities. Scientific Reports. 11: 19252. PMID 34584151 DOI: 10.1038/s41598-021-98660-y |
0.509 |
|
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, ... ... Oizumi M, 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 |
0.614 |
|
2020 |
Kitazono J, Kanai R, Oizumi M. Efficient search for informational cores in complex systems: Application to brain networks. Neural Networks : the Official Journal of the International Neural Network Society. 132: 232-244. PMID 32919313 DOI: 10.1016/J.Neunet.2020.08.020 |
0.457 |
|
2020 |
Eguchi A, Horii T, Nagai T, Kanai R, Oizumi M. An Information Theoretic Approach to Reveal the Formation of Shared Representations. Frontiers in Computational Neuroscience. 14: 1. PMID 32082133 DOI: 10.3389/Fncom.2020.00001 |
0.431 |
|
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 |
0.53 |
|
2019 |
Cohen D, Sasai S, Tsuchiya N, Oizumi M. A general spectral decomposition of causal influences applied to integrated information. Journal of Neuroscience Methods. 108443. PMID 31732159 DOI: 10.1016/J.Jneumeth.2019.108443 |
0.742 |
|
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 |
0.462 |
|
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 |
0.454 |
|
2018 |
Kitazono J, Kanai R, Oizumi M. Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. Entropy (Basel, Switzerland). 20. PMID 33265264 DOI: 10.3390/e20030173 |
0.336 |
|
2018 |
Hidaka S, Oizumi M. Fast and exact search for the partition with minimal information loss. Plos One. 13: e0201126. PMID 30204751 DOI: 10.1371/Journal.Pone.0201126 |
0.462 |
|
2018 |
Kitazono J, Kanai R, Oizumi M. Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory Entropy. 20: 173. DOI: 10.3390/E20030173 |
0.439 |
|
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 |
0.449 |
|
2017 |
Haun AM, Oizumi M, Kovach CK, Kawasaki H, Oya H, Howard MA, Adolphs R, Tsuchiya N. Conscious Perception as Integrated Information Patterns in Human Electrocorticography. Eneuro. 4. PMID 29085895 DOI: 10.1523/ENEURO.0085-17.2017 |
0.745 |
|
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 |
0.67 |
|
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 |
0.681 |
|
2015 |
Boly M, Sasai S, Gosseries O, Oizumi M, Casali A, Massimini M, Tononi G. Stimulus set meaningfulness and neurophysiological differentiation: a functional magnetic resonance imaging study. Plos One. 10: e0125337. PMID 25970444 DOI: 10.1371/Journal.Pone.0125337 |
0.641 |
|
2014 |
Oizumi M, Albantakis L, Tononi G. From the phenomenology to the mechanisms of consciousness: Integrated Information Theory 3.0. Plos Computational Biology. 10: e1003588. PMID 24811198 DOI: 10.1371/Journal.Pcbi.1003588 |
0.734 |
|
2013 |
Mitani A, Sasaki R, Oizumi M, Uka T. A leaky-integrator model as a control mechanism underlying flexible decision making during task switching. Plos One. 8: e59670. PMID 23533641 DOI: 10.1371/Journal.Pone.0059670 |
0.376 |
|
2012 |
Oizumi M, Satoh R, Kazama H, Okada M. Functional Differences between Global Pre- and Postsynaptic Inhibition in the Drosophila Olfactory Circuit. Frontiers in Computational Neuroscience. 6: 14. PMID 22470334 DOI: 10.3389/Fncom.2012.00014 |
0.488 |
|
2012 |
Igarashi Y, Oizumi M, Okada M. Theory of correlation in a network with synaptic depression. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 016108. PMID 22400626 DOI: 10.1103/Physreve.85.016108 |
0.517 |
|
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 |
0.671 |
|
2011 |
Otsubo Y, Nagata K, Oizumi M, Okada M. Influence of synaptic depression on memory storage capacity Journal of the Physical Society of Japan. 80. DOI: 10.1143/Jpsj.80.084004 |
0.454 |
|
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 |
0.546 |
|
2010 |
Satoh R, Oizumi M, Kazama H, Okada M. Mechanisms of maximum information preservation in the Drosophila antennal lobe. Plos One. 5: e10644. PMID 20502639 DOI: 10.1371/Journal.Pone.0010644 |
0.571 |
|
2010 |
Oizumi M, Ishii T, Ishibashi K, Hosoya T, Okada M. Mismatched decoding in the brain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 4815-26. PMID 20357132 DOI: 10.1523/Jneurosci.4360-09.2010 |
0.601 |
|
2010 |
Otsubo Y, Nagata K, Oizumi M, Okada M. Instabilities in associative memory model with synaptic depression and switching phenomena among attractors Journal of the Physical Society of Japan. 79. DOI: 10.1143/Jpsj.79.084002 |
0.456 |
|
2010 |
Igarashi Y, Oizumi M, Okada M. Mean field analysis of stochastic neural network models with synaptic depression Journal of the Physical Society of Japan. 79. DOI: 10.1143/Jpsj.79.084001 |
0.485 |
|
2010 |
Oizumi M, Satoh R, Kazama H, Okada M. Functional difference between global presynaptic and postsynaptic inhibition in the Drosophila olfactory circuit Neuroscience Research. 68: e387. DOI: 10.1016/J.Neures.2010.07.1714 |
0.431 |
|
2010 |
Igarashi Y, Oizumi M, Okada M. Theory of correlations in neural network model of V1 with synaptic depression Neuroscience Research. 68: e73. DOI: 10.1016/J.Neures.2010.07.089 |
0.479 |
|
2009 |
Igarashi Y, Oizumi M, Otsubo Y, Nagata K, Okada M. Statistical mechanics of attractor neural network models with synaptic depression Journal of Physics: Conference Series. 197: 012018. DOI: 10.1088/1742-6596/197/1/012018 |
0.406 |
|
2009 |
Satoh R, Oizumi M, Kazama H, Okada M. The significance of a nonlinear transformation and a role of local neurons in an olfactory circuit Neuroscience Research. 65: S210. DOI: 10.1016/J.Neures.2009.09.1159 |
0.446 |
|
2008 |
Oizumi M, Miyawaki Y, Okada M. Rate reduction for associative memory model in Hodgkin-Huxley-type network Journal of the Physical Society of Japan. 77. DOI: 10.1143/Jpsj.77.064802 |
0.492 |
|
2007 |
Oizumi M, Miyawaki Y, Okada M. Higher order effects on rate reduction for networks of Hodgkin-Huxley neurons Journal of the Physical Society of Japan. 76. DOI: 10.1143/Jpsj.76.044803 |
0.476 |
|
Show low-probability matches. |