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publications
Distinct effects of heterogeneity and noise on gamma oscillation in a model of neuronal network with different reversal potential
Published in Scientific Reports, 2021
Recommended citation: Zheng, T., Kotani, K. & Jimbo, Y. Distinct effects of heterogeneity and noise on gamma oscillation in a model of neuronal network with different reversal potential. Sci Rep 11, 12960 (2021). https://doi.org/10.1038/s41598-021-91389-8
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Macroscopic gamma oscillation with bursting neuron model under stochastic fluctuation
Published in Neural Computation, 2023
Recommended citation: Yoshikai, Y., Zheng, T., Kotani, K. & Jimbo, Y. Macroscopic gamma oscillation with bursting neuron model under stochastic fluctuation. Neural Comput 2023; 35 (4): 645–670. doi: https://doi.org/10.1162/neco_a_01570
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Controlling fluidic oscillator flow dynamics by elastic structure vibration
Published in Scientific Reports, 2023
Recommended citation: Loe, I.A., Zheng, T., Kotani, K. et al. Controlling fluidic oscillator flow dynamics by elastic structure vibration. Sci Rep 13, 8852 (2023). https://doi.org/10.1038/s41598-023-35643-1
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The Effects of Biological Constraints on the Performance of Spiking Neural Networks
Published in IEEJ Transactions on Electronics, Information and Systems, 2023
Recommended citation: Li, B., Iguchi, R., Noyama, H., Zheng, T., Kotani, K., & Jimbo, Y. (2023). The effects of biological constraints on the performance of Spiking Neural Networks. IEEJ Transactions on Electronics, Information and Systems, 143(7), 634–640. https://doi.org/10.1541/ieejeiss.143.634
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Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons
Published in IEEJ Transactions on Electrical and Electronic Engineering, 2024
Recommended citation: Zheng, T., Li, B., Jimbo, Y., Shimba, K. and Kotani, K. (2024), Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons. IEEJ Trans Elec Electron Eng. https://doi.org/10.1002/tee.24166
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Analyzing top-down visual attention in the context of gamma oscillations: a layer-dependent network-of-networks approach
Published in Frontiers in Computational Neuroscience, 2024
Recommended citation: Zheng T, Sugino M, Jimbo Y, Ermentrout GB and Kotani K (2024) Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach. Front. Comput. Neurosci. 18:1439632. doi: 10.3389/fncom.2024.1439632
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After-effects of Parieto-occipital Gamma Transcranial Alternating Current Stimulation on Behavioral Performance and Neural Activity in Visuo-spatial Attention Task
Published in bioRxiv, 2024
Recommended citation: Zheng, T., Huang, Y., Sugino, M., Shimba, K., Jimbo, Y., & Kotani, K. (2024). After-Effects of Parieto-Occipital Gamma Transcranial Alternating Current Stimulation on Behavioral Performance and Neural Activity in Visuo-Spatial Attention Task. bioRxiv. https://doi.org/10.1101/2024.10.06.616926
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Object-centered control of brain-computer interface systems in three-dimensional spaces using an intuitive motor imagery paradigm
Published in Advanced Biomedical Engineering, 2025
Recommended citation: Huang, Y., Toyokawa, K., Zheng, T., Shimba, K., Kotani, K., & Jimbo, Y. Object-centered control of brain-computer interface systems in three-dimensional spaces using an intuitive motor imagery paradigm. Adv. Biomed. Eng. In press
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talks
teaching
Introduction to Algorithms
Undergraduate course, The University of Tokyo, College of Arts and Sciences, 2021
Teaching assistant for the course taught by Prof. Masahiro Jibiki.
Information
Undergraduate course, The University of Tokyo, College of Arts and Sciences, 2022
Teaching assistant for the course taught by Prof. Hasuike Takashi.
Needs-Inspired Invention and Entrepreneurship
Graduate course, The University of Tokyo, Department of Advanced Interdisciplinary Studies, 2023
Teaching assistant for the course taught by Prof. Set Sze Yun.
University Entrepreneurship
Graduate course, The University of Tokyo, Department of Advanced Interdisciplinary Studies, 2023
Teaching assistant for the course taught by Prof. Set Sze Yun.