Profile Information
- Affiliation
- Associate professor, Department of Biomedical Data Science, School of Medicine, Fujita Health University
- Degree
- Ph.D(Mar, 2003, The University of Tokyo)
- Researcher number
- 40512140
- J-GLOBAL ID
- 201101036451836391
- researchmap Member ID
- B000004615
- External link
Reflected in our thoughts,
experience, by reforming our actions,
nurtures our well-being.
Motivated by an interest in the memorization mechanisms of the brain, I have conducted computer simulations to investigate whether current knowledge about molecular neuroscience provides a synaptic basis for learning and memory—that is, whether synaptic plasticity underlies the brain’s ability to learn and remember. My research goal is the derivation of mathematical models of synaptic plasticity. The rules of synaptic plasticity are not simple. Synaptic plasticity generally occurs in a synapse-specific manner, but in some case it occurs cooperatively among synapses. It is also significantly affected by age, emotional state, and psychiatric disorders. I focus on the first steps of how neural functions emerge from complex biochemical reactions at synapses. (more)
Research Interests
7Research Areas
4Research History
6Committee Memberships
1-
Aug, 2023 - Present
Awards
1Papers
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Scientific reports, 15(1) 4195-4195, Feb 4, 2025This study developed a three-dimensional ultrastructural analysis application using serial block-face scanning electron microscopy (SBF-SEM) to investigate surgically acquired human skin tissues containing the arrector pili muscle. We utilized the en bloc staining, including reduced osmium, thiocarbohydrazide, and lead aspartate, as well as the embedding using a carbon-based conductive resin. Next, we obtained serial images with SBF-SEM. The results revealed dense nerve fiber networks branching from nearby nerve fiber bundles outside the muscle and running among muscle fibers. Additionally, the dense nerve network running through and along arrector pili muscle fibers rarely penetrates the connective tissues between smooth muscle fibers and epithelial cells. Furthermore, in the observation area, no individual smooth muscle fibers formed adhesion structures with the epithelial cells of the hair follicle, ending in the dermal extracellular matrix near the epithelial cells. These results indicate the usefulness of this approach for three-dimensional ultrastructural analyses of human skin tissues comprising follicular units and revealing structural changes in skin tissues, especially the arrector pili muscle and nerve fibers with hair follicular epithelium, in aging and diseased conditions.
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Microscopy, dfaf002, Jan, 2025 Peer-reviewedInvitedLead authorLast authorCorresponding author
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bioRxiv (under revision), 2024.08.26.606306, Aug 26, 2024 Last authorCorresponding authorAbstract Liquid–liquid phase separation (LLPS) of biological macromolecules leads to the formation of various membraneless organelles. LLPS can not only form homogenous condensates but also multilayered and multiphase condensates, which can mediate complex cellular functions. However, the factors that determine the topological features of multiphase condensates are not fully understood. Herein, we focused on Ca2+/calmodulin-dependent protein kinase II (CaMKII), a major postsynaptic protein that undergoes various forms of LLPS with other postsynaptic proteins, and present a minimalistic computational model that reproduces these forms of LLPS, including a form of two-phase condensates, phase-in-phase (PIP) organization. Analyses of this model revealed that the competitive binding of two types of client proteins is required for the PIP formation. The PIP only formed when CaMKII had high valency and a short linker length. Such CaMKII proteins exhibited a low surface tension, a modular structure, and slow diffusion. These properties are consistent with the functions required by CaMKII to store information at the synaptic level. Thus, the computational modeling reveals new structure–function relationships for CaMKII as a synaptic memory unit.
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iScience, 26(12) 108338, Nov, 2023 Peer-reviewed
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Annals of Botany, 132(6) 1159-1174, Jul 25, 2023 Peer-reviewedAbstract Background and Aims During the analysis of plant male meiocytes coming from destroyed meiocyte columns (united multicellular structures formed by male meiocytes in each anther locule), a considerable amount of information becomes unavailable. Therefore, in this study intact meiocyte columns were studied by volume microscopy in wild-type rye for the most relevant presentation of 3-D structure of rye meiocytes throughout meiosis. Methods We used two types of volume light microscopy: confocal laser scanning microscopy and non-confocal bright-field scanning microscopy combined with alcohol and aldehyde fixation, as well as serial block-face scanning electron microscopy. Key Results Unusual structures, called nuclear protuberances, were detected. At certain meiotic stages, nuclei formed protuberances that crossed the cell wall through intercellular channels and extended into the cytoplasm of neighbouring cells, while all other aspects of cell structure appeared to be normal. This phenomenon of intercellular nuclear migration (INM) was detected in most meiocytes at leptotene/zygotene. No cases of micronucleus formation or appearance of binucleated meiocytes were noticed. There were instances of direct contact between two nuclei during INM. No influence of fixation or of mechanical impact on the induction of INM was detected. Conclusions Intercellular nuclear migration in rye may be a programmed process (a normal part of rye male meiosis) or a tricky artefact that cannot be avoided in any way no matter which approach to meiocyte imaging is used. In both cases, INM seems to be an obligatory phenomenon that has previously been hidden by limitations of common microscopic techniques and by 2-D perception of plant male meiocytes. Intercellular nuclear migration cannot be ignored in any studies involving manipulations of rye anthers.
Misc.
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Kaibogaku Zasshi / Acta anatomica Nipponica, 97(2) 41-44, Sep, 2022 InvitedLead author
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Clinical neuroscience, 40(4) 534-536, Apr, 2022 InvitedLead authorCorresponding author
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KENBIKYO, 55(3) 120-124, Dec, 2020 Peer-reviewedInvitedLead authorCorresponding author
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The brain & neural networks, 22(3) 133-144, Sep, 2015 Invited
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IEICE technical report. Neurocomputing, 113(500) 31-36, Mar 17, 2014Motion illusion is one of visual illusions that evokes motion by a static image. To elucidate operating principles of the human visual system, it is important to reveal the mechanisms of the motion illusions. One of such motion illusions is the peripheral drift illusion. The Faubert and Herbert image (FH image) is known as a stimulus image that evokes the peripheral drift illusion. When the FH image (pre-stimulus) disappears to a uniform background image (post-stimulus) after the presentation for several seconds, observers perceive illusory rotation of the afterimage (afterimage rotation) at the moment. Here, to explain this afterimage rotation, we proposed a simple mathematical model of retinal functions. In this model, the FH image was transferred to spatio-temporally varying noisy outputs, and those outputs produced focal points during the post-stimulus period. The focal time accompanied luminance-dependent lag, and this lag had the similar characteristics of the afterimage rotation. We quantified the afterimage rotation by psychophysical experiments, and compared them with the output of the model. We report that the proposed model successfully explained some characteristics of the afterimage rotation.
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The Dictionary of Simulation, Jan, 2012 Peer-reviewedInvited
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NEUROSCIENCE RESEARCH, 71 E325-E325, 2011
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NEUROSCIENCE RESEARCH, 68 E437-E437, 2010
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NEUROSCIENCE RESEARCH, 65 S65-S65, 2009
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IEICE technical report, 106(279) 1-6, Oct 4, 2006We report that the inhibitory synaptic input can control the transmission of synfire chain. Synfire chain is a phenomenon in which synchronous firings transmit between groups of neurons. Many previous studies discussed synfire chain as a fixed cable, and no studies investigated to control synfire chain flexibly. In this study, we numerically analyze the Hodgkin-Huxley model in order to examine whether the synfire chain can be controlled by topdown signals. As a result of simulation, inhibitory synaptic input 6ms before the pulse packet input with short duration strongly facilitated the transmission of synfire chain. Moreover, that 1ms after the pulse packet input strongly depressed the transmission of synfire chain. In Conclusion, synfire chain could be controlled by a inhibitory synaptic input, and could performed dynamically and functionally.
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IEICE technical report, 105(657) 27-32, Mar 15, 2006In the hippocampal CA1 area, repetitive correlated spiking of pre- and postsynaptic neurons can induce LTP and LTD, depending on the timing of the pre- and postsynaptic excitation (Spike timing Dependent Plasticity). To investigate the information processing on the dendrite of a single neuron during the induction of STDP in the hippocampal CA1 area, model simulation was performed using NEURON simulator. As a result, the effects of a back-propagating action potential to distal dendrites by synaptic inputs on the proximal dendrite, enhance or depress, were clarified.
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Simulation, 25(1) 4-12, Mar, 2006 InvitedRecent advance in neuroscience has revealed that neurons as information processors are not point nodes, but spatially distributed units, as represented by dendritic arborization. Computer simulation is very effective for analyzing the distributed properties of neurons; however, the implementation as computer programs is quite complicated. Here, we introduce the GENESIS and NEURON simulators, which have been developed for supporting such complex neuronal simulations. We firstly address the mathematical bases for modeling spatial properties of neurons, and then explain how the NEURON/GENESIS simulator handles the properties with sample programs. At last, we show the effectiveness of the simulators by introducing our computational researches about spike timing-dependent plasticity (STDP).
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NEUROSCIENCE RESEARCH, 55 S52-S52, 2006
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The brain & neural networks, 12(2) 94-99, Jun, 2005 InvitedIn the hippocampal CA1 area, repetitive correlated spiking of pre- and postsynaptic neurons can induce LTP and LTD, depending on the timing of the pre- and postsynaptic excitation (Spike timing Dependent Plasticity). To investigate the information processing on the dendrite of a single neuron during the induction of STDP in the hippocampal CA1 area, model simulation was performed using NEORON simulator. As a result, (1) the location dependency of amplifying synapse, (2) the effect of gating a back-propagating action potential to distal dendrites by inputs on the proximal dendrite, and (3) the effect of inhibitory input to the induction of STDP were clarified.
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IEICE technical report. Neurocomputing, 104(759) 43-48, Mar 22, 2005In the hippocampal CA1 area, repetitive correlated spiking of pre- and postsynaptic neurons can induce LTP and LTD, depending on the timing of the pre- and postsynaptic excitation (Spike timing Dependent Plasticity). To investigate the information processing on the dendrite of a single neuron during the induction of STDP in the hippocampal CA1 area, model simulation was performed using NEORON simulator. As a result, (1) the location dependency of amplifying synapse, (2) the effect of gating a back-propagating action potential to distal dendrites by inputs on the proximal dendrite, and (3) the effect of inhibitory input to the induction of STDP were clarified.
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BME : Bio Medical Engineering, 18(2) 12-18, Apr, 2004 Invited
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The Transactions of the Institute of Electronics,Information and Communication Engineers., 87(2) 695-704, Feb, 2004 Peer-reviewed
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The brain & neural networks, 10(4) 223-224, Dec, 2003 Invited
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IEICE technical report. Neurocomputing, 101(735) 227-233, Mar 11, 2002Recent studies gave new insight on synaptic plasticity that the sign and magnitude of plasticity depends critically on the precise timing of pre- and post-synaptic firing, which is termed the spike-timing dependent plasticity (STDP). To examine the generalized behavior of this plasticity, we quantified [Ca2+]in transient in a spine by simulating the pairing experiment of a hippocampal CA1 pyramidal cell. This simulation showed the robustness of timing window at low frequency, and predicts any timing LTP at high frequency.
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IEICE technical report. Neurocomputing, 101(238) 33-39, Jul 20, 2001In this paper, we analyze input-ouput function of a comartmental model neuron with Hodgkin-Huxley-like channel kinetics. Under bombardment of input spikes, Inverse correlations of the model neuron show main peaks before firings to achieve a certain membrane potentials, which shorten their time windows with the increase of input frequency. The neuron with the large time window is known to work as an integrator, which is easily affected by noise input, and the neuron with the short time window is to work as a coincidence detector, which keeps the precision of firing time against noise input. We demonstrate that the high frequency input gives more precisely timed firings than the low frequency input, in the condition of the same signal-to-noise ratio.
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IEICE technical report. Neurocomputing, 100(191) 37-42, Jul 11, 2000Correlation analyses for neuronal spikes, which have been developed recently, generally give the information on the basic topology of networks as well as the functions of the brain. To analyze the network temporal dynamics, we develop a statistical way on the assumption of probabilistic firing neurons that let through spikes at a certain probability. In this study, we firstly use this assumption on the firing neurons to analyze temporal structure of the network with random connectivity;and, give an explanation of the irregularity of spike sequences generally observed in the cortical neurons. Moreover, considering the spatial structure of a network, we secondly analyze the spatiotemporal interaction of a network with local connectivity. We also discuss the possibility of information processing with the results.
Teaching Experience
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Apr, 2024 - Present医学科3年 アセンブリIII (Fujita Health University)
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Apr, 2024 - Present大学院講義 医科学概論 (Fujita Health University)
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Apr, 2023 - Present医学科2年 医学統計学 (Fujita Health University)
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Apr, 2023 - Present医学科1年 読書ゼミナール (Fujita Health University)
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Apr, 2023 - Present医学科1年 基礎データサイエンス (Fujita Health University)
Research Projects
12-
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2024 - Mar, 2029
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2024 - Mar, 2029
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Grant-in-aid from Fujita health university, Fujita Health University, Apr, 2025 - Mar, 2026
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Strategic Basic Research Programs CREST "Spatiotemporal dynamics of intracellular components.", Dec, 2020 - Mar, 2026
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Grant-in-Aid for Scientific Research (C)., Japan Society for the Promotion of Science., Apr, 2020 - Mar, 2024