2025
- Shimono, (2025). In vitro 2 In vivo: Bidirectional and High-Precision Generation of In Vitro and In Vivo Neuronal Spike Data. arXiv preprint arXiv:2503.20841.
- Sato, M. Ogura, A. Sashie, M. Shimono, N. Wakamiya, (2025). Neural SDE-Based Spike Control of Noisy Neurons. PLOS ONE.
2024
- J. Aizawa, M. Ogura, M. Shimono, N. Wakamiya (2024). Firing pattern manipulation of neuronal networks by deep unfolding‐based model predictive control. IET Control Theory & Applications, 18(15), 2003-2013.
- Shirakami, T. Hase, Y. Yamaguchi, M. Shimono (2025). Neural network embedding of functional microconnectome. Network Neuroscience, 1-22. IF = 4.0
2023
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Nakajima, R., Shirakami, A., Tsumura, H., Matsuda, K., Nakamura, E., & Shimono, M. (2023). Mutual generation in neuronal activity across the brain via deep neural approach, and its network interpretation. Communications Biology, 6(1), 1105.
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Matsuda, K., Shirakami, A., Nakajima, R., Akutsu, T., & Shimono, M. (2022). Whole brain evaluation of cortical micro-connectomes. Eneuro, 10(10).
2021
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M. Kajiwara, R. Nomura, F. Goetze, Y. Isomura, M. Kawabata, T. Akutsu, M. Shimono, Inhibitory neurons exhibit high controlling ability in the Cortical Microconnectome. PLOS Computational Biology, 17(4), e1008846.
2020
2019
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S. Ide, M. Kajiwara, H. Imai, M. Shimono, 3D Scanning Technology Bridging Microcircuits And Macroscale Brain Images In 3D Novel Embedding Overlapping (3D-NEO) Protocol., J. Vis. Exp. 147 e58911, (2019).
2018
- M. Shimono, N. Hatano, Efficient communication dynamics on macro-connectome, and the propagation speed. Scientific reports, 8(1), 2510 (2018).
- Y. Mizuno, M. Kawasaki, M. Shimono, C. Miniussi, Y.O. Okazaki, K. Ueno, C. Suzuki, T. Asamizuya,Cheng, K. Kitajo, Individual differenced in perception can be better explained by resting-state effective connectivity than by functional connectivity. Under review.
2016
- S.Nigam, M. Shimono, S. Ito, F-.C. Yeh, N. Timme, M. Myroshnychenko, C.C. Lapish, Z. Tosi, P. Hottowy, W.C. Smith, S.C. Masmanidis, A.M. Litke, O. Sporns, J.M. Beggs, Rich-club organization in effective connectivity among cortical neuronss. The Journal of Neuroscience 36(3): 670-684 (2016) IF = 6.8
- N. Timme, S. Ito, M. Myroshnychenko, S. Nigam, M. Shimono, F-C. Yeh, P. Hottowy, A.M.Litke, J.M. Begg. High-degree neurons feed cortical computations. PLOS Computational Biology 12(5) e1004858 (2016) IF = 4.8
2015
- M. Shimono, J.M. Beggs, Functional Clusters, Hubs and Communities in the Cortical Microconnectome. Cerebral Cortex 25 (10): 3743-3757 (2015) IF = 8.3
2014
- A. Nakhnikian, G.V. Rebec , L.M. Grasse, L.L. Dwiel, M. Shimono, J.M. Beggs, Behavior Modulates Effective Connectivity between Cortex and Striatum. PLOS ONE 9(3) e89443 (2014)
- M. Shimono, Global network community and non-uniform cell density in the macaque brain. BMC Neurosci 15, 100 (2014).
- Nigam, O. Sporns, M. Shimono, J.M. Beggs, Patterns of information flow in local cortical networks. BMC Neuroscience 15, 213 (2014).
- M. Shimono, J.M. Beggs Network community, clusters and hubs in cortical micro circuits. BMC Neurosci 15, 2 (2014).
2013
- M. Shimono, Non-uniformity of cell density and networks in the monkeybrain. Scientific Reports, 3, 2541 (2013) IF = 5.2
- M. Shimono, K. Niki, Global mapping of the whole-brain network underlining binocular rivalry . Brain Connectivity, 3 (2), 212-221 (2013)
- K. Kitajo, Y. Nakagwa, Y. Uno, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi A manipulative approach to neural dynamics by combined TMS-EEG. Advances in Cognitive Neurodynamics (|||), 155-160 (2013)
2012
- M. Shimono, H. Mano, K. Niki, The brain structural hub of interhemispheric information integration for visual motion perception. Cerebral Cortex , 22 (2), 337-344 (2012) IF = 8.3
- N. Friedman, S. Ito, B.A.W. Brinkman, M. Shimono, R.E.L. DeVille, K.A. Dahmen, J.M. Beggs, and T.C. Butler, Universal Critical Dynamics in High Resolution Neuronal Avalanche Data. Physical Review Letter 108, 208102 (2012) IF=7.5
2011
- M. Shimono, K. Kitajo, T. Takeda, Neural processes for intentional control of perceptual switching. Human Brain Mapping , 32 (3), 397-412 (2011) IF = 6.0
- L. Qi, K. Amano, M. Shimono, T. Takeda, MEG feature selection for motion prediction. J Jpn Biomag Bioelectromag Soc , 22(2), 3-10 (2011)
before 2010
- K. Kitajo, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi, State-dependent cortical synchronization networks revealed by TMS-EEG Recordings . Advances in Cognitive Neurodynamics (||), 145-149 (2010)
- K. Kitajo, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi, Frequency-Specific Changes in TMS-Evoked Cortical Activity in Open Eye and Closed eye Conditions. Neuroimage 47, S134 (2009)
- H. Nakahara, M. Shimono, G. Uchida, M. Tanifuji, Stimulus-Induced Pairwise Interaction Can Be Revealed by Information Geometric Approach. Advances in Cognitive Neurodynamics, 71-75 (2008)
- M. Shimono, T. Takeda, Predictability of the successful/unsuccessful in intentional switching of perception. J Jpn Biomag Bioelectromag Soc , 20(2), 27-36 (2008)
- M. Shimono, T. Owaki, K. Amano, K. Kitajo, T. Takeda, Functional modulation of power-law distribution in visual perception. Physical Review E , 75, 051902 (2007)
2021
-
M. Kajiwara, R. Nomura, F. Goetze, Y. Isomura, M. Kawabata, T. Akutsu, M. Shimono, Inhibitory neurons exhibit high controlling ability in the Cortical Microconnectome. PLOS Computational Biology, 17(4), e1008846.
2020
2019
-
S. Ide, M. Kajiwara, H. Imai, M. Shimono, 3D Scanning Technology Bridging Microcircuits And Macroscale Brain Images In 3D Novel Embedding Overlapping (3D-NEO) Protocol., J. Vis. Exp. 147 e58911, (2019).
2018
- M. Shimono, N. Hatano, Efficient communication dynamics on macro-connectome, and the propagation speed. Scientific reports, 8(1), 2510 (2018).
- Y. Mizuno, M. Kawasaki, M. Shimono, C. Miniussi, Y.O. Okazaki, K. Ueno, C. Suzuki, T. Asamizuya,Cheng, K. Kitajo, Individual differenced in perception can be better explained by resting-state effective connectivity than by functional connectivity. Under review.
2016
- S.Nigam, M. Shimono, S. Ito, F-.C. Yeh, N. Timme, M. Myroshnychenko, C.C. Lapish, Z. Tosi, P. Hottowy, W.C. Smith, S.C. Masmanidis, A.M. Litke, O. Sporns, J.M. Beggs, Rich-club organization in effective connectivity among cortical neuronss. The Journal of Neuroscience 36(3): 670-684 (2016) IF = 6.8
- N. Timme, S. Ito, M. Myroshnychenko, S. Nigam, M. Shimono, F-C. Yeh, P. Hottowy, A.M.Litke, J.M. Begg. High-degree neurons feed cortical computations. PLOS Computational Biology 12(5) e1004858 (2016) IF = 4.8
2015
- M. Shimono, J.M. Beggs, Functional Clusters, Hubs and Communities in the Cortical Microconnectome. Cerebral Cortex 25 (10): 3743-3757 (2015) IF = 8.3
2014
- A. Nakhnikian, G.V. Rebec , L.M. Grasse, L.L. Dwiel, M. Shimono, J.M. Beggs, Behavior Modulates Effective Connectivity between Cortex and Striatum. PLOS ONE 9(3) e89443 (2014)
- M. Shimono Global network community and non-uniform cell density in the macaque brain. BMC Neurosci 15, 100 (2014).
- Nigam, O. Sporns, M. Shimono, J.M. Beggs, Patterns of information flow in local cortical networks. BMC Neuroscience 15, 213 (2014).
- M. Shimono, J.M. Beggs Network community, clusters and hubs in cortical micro circuits. BMC Neurosci 15, 2 (2014).
2013
- M. Shimono, Non-uniformity of cell density and networks in the monkeybrain. Scientific Reports, 3, 2541 (2013) IF = 5.2
- M. Shimono, K. Niki, Global mapping of the whole-brain network underlining binocular rivalry . Brain Connectivity, 3 (2), 212-221 (2013)
- K. Kitajo, Y. Nakagwa, Y. Uno, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi A manipulative approach to neural dynamics by combined TMS-EEG. Advances in Cognitive Neurodynamics (|||), 155-160 (2013)
2012
- M. Shimono, H. Mano, K. Niki, The brain structural hub of interhemispheric information integration for visual motion perception. Cerebral Cortex , 22 (2), 337-344 (2012) IF = 8.3
- N. Friedman, S. Ito, B.A.W. Brinkman, M. Shimono, R.E.L. DeVille, K.A. Dahmen, J.M. Beggs, and T.C. Butler, Universal Critical Dynamics in High Resolution Neuronal Avalanche Data. Physical Review Letter 108, 208102 (2012) IF=7.5
2011
- M. Shimono, K. Kitajo, T. Takeda, Neural processes for intentional control of perceptual switching. Human Brain Mapping , 32 (3), 397-412 (2011) IF = 6.0
- L. Qi, K. Amano, M. Shimono, T. Takeda, MEG feature selection for motion prediction. J Jpn Biomag Bioelectromag Soc , 22(2), 3-10 (2011)
before 2010
- K. Kitajo, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi, State-dependent cortical synchronization networks revealed by TMS-EEG Recordings . Advances in Cognitive Neurodynamics (||), 145-149 (2010)
- K. Kitajo, R. Miyota, M. Shimono, K. Yamanaka, Y. Yamaguchi, Frequency-Specific Changes in TMS-Evoked Cortical Activity in Open Eye and Closed eye Conditions. Neuroimage 47, S134 (2009)
- H. Nakahara, M. Shimono, G. Uchida, M. Tanifuji, Stimulus-Induced Pairwise Interaction Can Be Revealed by Information Geometric Approach. Advances in Cognitive Neurodynamics, 71-75 (2008)
- M. Shimono, T. Takeda, Predictability of the successful/unsuccessful in intentional switching of perception. J Jpn Biomag Bioelectromag Soc , 20(2), 27-36 (2008)
- M. Shimono, T. Owaki, K. Amano, K. Kitajo, T. Takeda, Functional modulation of power-law distribution in visual perception. Physical Review E , 75, 051902 (2007)
