PUBLICATIONS
40. Daiki Sekizawa, Sosuke Ito, Masafumi Oizumi (2023)
Decomposing Thermodynamic Dissipation of Neural Dynamics via Spatio-Temporal Oscillatory Modes
https://arxiv.org/abs/2312.03489
39. Masaru Sasaki*, Ken Takeda*, Kota Abe, Masafumi Oizumi (2023)
Toolbox for Gromov-Wasserstein optimal transport: Application to unsupervised alignment in neuroscience
bioRxiv, *: equal contribution
The Toolbox is available on GitHub
38. Daiki Kiyooka*, Ikumi Oomoto*, Jun Kitazono, Midori Kobayashi, Chie Matsubara, Kenta Kobayashi, Masanori Murayama**, Masafumi Oizumi** (2023)
Single-cell resolution functional networks during sleep are segregated into spatially intermixed modules
bioRxiv, *, **: equal contribution
37. Genji Kawakita, Ariel Zeleznikow-Johnston, Naotsugu Tsuchiya, Masafumi Oizumi (2023)
Comparing Color Similarity Structures between Humans and LLMs via Unsupervised Alignment.
arXiv:2308.04381 [q-bio.NC]
36. Genji Kawakita*, Ariel Zeleznikow-Johnston*, Ken Takeda*, Naotsugu Tsuchiya**, Masafumi Oizumi** (2023)
Is my "red" your "red"?: Unsupervised alignment of qualia structures via optimal transport.
PsyArXiv, *, **: equal contribution
35. Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, Jun Kitazono, Masafumi Oizumi (2023)
Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems.
Journal of Neuroscience, 43 (2), 270-281.
press release (in English), press release (in Japanese)
34. Jun Kitazono, Yuma Aoki, Masafumi Oizumi (2022)
Bidirectionally connected cores in a mouse connectome: Towards extracting the brain subnetworks essential for consciousness.
Cerebral Cortex, bhac143.
press release (in English), press release (in Japanese)
33. Genji Kawakita, Shunsuke Kamiya, Shuntaro Sasai, Jun Kitazono, Masafumi Oizumi (2022)
Quantifying brain state transition cost via Schrödinger's bridge.
Network Neuroscience, 6 (1), 118–134.
32. Kotaro Ishizu, Tomoyo I. Shiramatsu, Rie Hitsuyu, Masafumi Oizumi, Naotsugu Tsuchiya, Hirokazu Takahashi (2021)
Information flow in the rat thalamo-cortical system: spontaneous vs. stimulus-evoked activities
Scientific Reports, 11(19252).
31. Keisuke Ota, Yasuhiro Oisi, Takayuki Suzuki, Muneki Ikeda, Yoshiki Ito, Tsubasa Ito, Kenta Kobayashi, Midori Kobayashi, Maya Odagawa, Chie Matsubara, Yoshinori Kuroiwa, Masaru Horikoshi, Junya Matsushita, Hiroyuki Hioki, Masamichi Ohkura, Junichi Nakai, Masafumi Oizumi, Atsushi Miyawaki, Toru Aonishi, Takahiro Ode, Masanori Murayama (2021)
Fast scanning high optical invariant two-photon microscopy for monitoring a large neural network activity with cellular resolution.
Neuron, 109(11), 1810-1824.
30. Jun Kitazono, Ryota Kanai, Masafumi Oizumi (2020)
Efficient search for informational cores in complex systems: Application to brain networks.
Neural Networks, 132, 232-244.
29. Sosuke Ito, Masafumi Oizumi, and Shun-ichi Amari (2020)
Unified framework for the entropy production and the stochastic interaction based on information geometry
Physical Review Research, 2, 033048.
28. Akihiro Eguchi, Takato Horii, Takayuki Nagai, Ryota Kanai, Masafumi Oizumi
An Information Theoretic Approach to Reveal the Formation of Shared Representations.
Frontiers in Computational Neuroscience, 14, 2020.
27. Dror Cohen, Shuntaro Sasai, Naotsugu Tsuchiya, Masafumi Oizumi (2020)
A general spectral decomposition of causal influences applied to integrated information.
The Journal of Neuroscience Methods, 330, 108443.
26. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi (2019)
Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces
Nonlinear Theory and Its Applications, IEICE, 10(4), 322-336.
25. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi (2019)
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
Neural Computation, 31(5), 827-848.
24. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi (2019)
Fisher Information and Natural Gradient Learning in Random Deep Networks.
Proceedings of Machine Learning Research, in PMLR 89:694-702.
http://proceedings.mlr.press/v89/amari19a/amari19a.pdf
23. Shohei Hidaka, Masafumi Oizumi (2018)
Fast and exact search for the partition with minimal information loss
PLoS ONE, 13(9), e0201126.
22. Jun Kitazono, Ryota Kanai, Masafumi Oizumi (2018)
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory
Entropy, 20(3), 173.
21. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi (2018)
Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem.
Information Geometry, 1(1), 1-25.
20. Andrew M. Haun, Masafumi Oizumi, Christopher K Kovach, Hiroto Kawasaki, Hiroyuki Oya, Matthew A Howard, Ralph Adolphs, Naotsugu Tsuchiya (2017)
Contents of Consciousness Investigated as Integrated Information in Direct Human Brain Recordings
eNeuro, ENEURO-0085-17
19. Shun-ichi Amari, Naotsugu Tsuchiya, Masafumi Oizumi (2016)
Geometry of information integration.
Information Geometry and its Applications IV (pp. 3-17). Springer, Cham.
arXiv: 1709.02050; https://arxiv.org/abs/1709.02050
18. Masafumi Oizumi, Naotsugu Tsuchiya, Shun-ichi Amari (2016)
Unified Framework for Information Integration Based on Information Geometry
Proceedings of the National Academy of Sciences, 113(51), 14817-14822.
press release (in Japanese), blog (in English)
17. Masafumi Oizumi, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya (2016)
Measuring Integrated Information from the Decoding Perspective
PLoS Comput Biol, 12(1), e1004654.
16. Melanie Boly, Shuntaro Sasai, Olivia Gosseries, Masafumi Oizumi, Adenauer Casali, Marcello Massimini, Giulio Tononi (2015)
Stimulus Set Meaningfulness and Neurophysiological Differentiation: A Functional Magnetic Resonance Imaging Study.
PLoS ONE, 10(5): e0125337.
15. Masafumi Oizumi*, Larissa Albantakis*, Giulio Tononi (2014)
From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0.
PLoS Computational Biology, 10, e1003588. *: equal contribution
14. Akinori Mitani, Ryo Sasaki, Masafumi Oizumi, Takanori Uka (2013)
A leaky-integrator model as a control mechanism underlying flexible decision making during task switching.
PLoS ONE, 8, e59670.
13. Masafumi Oizumi, Ryota Satoh, Hokto Kazama, Masato Okada (2012)
Functional differences between global pre- and postsynaptic inhibition in the Drosophila olfactory circuit.
Frontiers in Computational Neuroscience, 6:14.
12. Yasuhiko Igarashi, Masafumi Oizumi, Masato Okada (2012)
Theory of correlation in a network with synaptic depression.
Physical Review E 85, 016108.
11. Yosuke Otsubo, Kenji Nagata, Masafumi Oizumi, and Masato Okada (2011)
Influence of synaptic depression on memory storage capacity.
Journal of the Physical Society of Japan, 80, 084004.
10. Masafumi Oizumi, Masato Okada, Shun-ichi Amari (2011)
Information loss associated with imperfect observation and mismatched decoding.
Frontiers in Computational Neuroscience, 5:9.
9. Yosuke Otsubo, Kenji Nagata, Masafumi Oizumi, Masato Okada (2010)
Instabilities in associative memory model with synaptic depression and switching phenomena among attractors.
Journal of the Physical Society of Japan, 79, 084002.
8. Yasuhiko Igarashi, Masafumi Oizumi, Masato Okada (2010)
Mean field analysis of stochastic neural network models with synaptic depression.
Journal of the Physical Society of Japan, 79, 084001.
7. Ryota Satoh*, Masafumi Oizumi*, Hokto Kazama, Masato Okada (2010)
Mechanisms of maximum information preservation in the Drosophila antennal lobe.
PLoS ONE, 5, e10644, 2010. *: equal contribution
6. Masafumi Oizumi, Keiji Miura, Masato Okada (2010)
Analytical investigation of the effects of lateral connections on the accuracy of population coding.
Physical Review E, 81, 051905.
5. Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya, Masato Okada (2010)
Mismatched decoding in the brain.
The Journal of Neuroscience, 30, 4815-4826.
*Featured in This Week In The Journal.
4. Yasuhiko Igarashi, Masafumi Oizumi, Yosuke Otsubo, Kenji Nagata, Masato Okada (2009)
Statistical mechanics of attractor neural network models with synaptic depression.
Journal of Physics Conference Series, 197, 012018.
3. Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya, Masato Okada (2009)
A general framework for investigating how far the decoding process in the brain can be simplified.
Advances in Neural Information Processing Systems, 21, 1225-1232.
2. Masafumi Oizumi, Yoichi Miyawaki, Masato Okada (2008)
Rate reduction for associative memory model in Hodgkin-Huxley-type network.
Journal of the Physical Society of Japan, 77(6), 064802.
1. Masafumi Oizumi, Yoichi Miyawaki, Masato Okada (2007)
Higher order effects on rate reduction for networks of Hodgkin-Huxley neurons.
Journal of the Physical Society of Japan, 76(4), 044803.