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Deep Learning-Based Analysis of Neuronal Signal Streams: Estimating the Activity Range of Cultured Neuronal Networks in Consecutive Stimulus Inputs Using CNN 13

Deep Learning-Based Analysis of Neuronal Signal Streams: Est...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Asada, Hiroki Kudoh, Suguru N. Dept. of Human System Interaction Sanda Japan Artificial Intelligence and Mechanical Engineering Course Dept. of Engineering Sanda Japan

ISBN: (纸本)9798350373332

We utilized a Convolutional Neural Network (CNN) -that incorporates a structure designed to integrate local relationship features. The CNN-based deep learning approach enabled us to identify response patterns following stimulus input, using images of neural activity that depict the activity of individual neurons. The feature of CNN-based neural network, integrating local features, considered to contribute to decipher the relationship within time-series data, which are interpreted as streams of signals passing through a single neuron. Utilizing this feature, we attempted to determine the scope of activity that preserves the history of ongoing stimulation within a cultured living neuronal network. We repeatedly subjected the network to the same stimulus, and from the post-stimulus response activity, we extracted spatial combinations of neurons that fired simultaneously within brief 1 ms time windows. We calculated the firing rates for each of these 1 ms intervals in response to 10 different stimuli. By arranging these firing rates into a distinctive configuration that sustains temporal continuity, we generated images that illustrate neuronal activity. We then attempted to discriminate response images obtained at various stimulus intervals, and compared the accuracy of the discrimination to gauge the scope and degree of history retention in sequential activation. © 2024 IEEE.

关键词： Convolutional neural networks

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Identification of the spatiotemporal activity patterns of cultured neuronal networks using deep convolutional neural networks (CNNs) 15

Identification of the spatiotemporal activity patterns of cu...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Ogomori, Kaito Kudoh, Suguru N. Dept. of Human System Interaction Sanda Japan Artificial Intelligence and Mechanical Engineering Course Dept. of Engineering Sanda Japan

ISBN: (纸本)9798350345247

To understand the basis of information processing in the brain, it is important to analyze the dynamics of neural activity patterns using an electrophysiological approach. In this study, we attempted to extract units of neural activity that represent certain information and to distinguish between activity patterns induced by electrical stimulation and spontaneous activity patterns. X-means clustering was applied to a triplet of "two-dimensional spatial coordinates and timestamps"of neuronal electrical spike bursts to transform the single extracted spatiotemporal neural activity patterns into a standardized 8×8 2D-spatial pattern map. The pattern maps were then collected in the order of time of occurrence of the neural activity patterns, and a VGG16 deep convolutional neural network (deep CNN) was used to classify stimulus-responsive activity and spontaneous activity. For this purpose, we transformed the 2D spatial pattern map and prepared two types of 224×224 images: Spatial Information-Priority Neural Activity Pattern images (SIP-NAP images) and Temporal Information-Priority Neural Activity Pattern images (TIP-NAP images). As a result, we achieved high discrimination accuracy of over 85% for both types of VGG16 input images, especially with TIP-NAP imagesachieving a discrimination accuracy of 99.5%. This suggests that the 3D clustering extracted spatiotemporal features that contribute to the discrimination between spontaneous and evoked response activities. In addition, the combination of transfer learning and the SIP-NAP/TIP-NAP image transformation method was shown to accurately discriminate spatial patterns of neuroelectric activity even with a small amount of training data. © 2023 IEEE.

关键词： Convolutional neural networks

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Human Assistive Rehabilitation system for Lower-limb using Exoskeleton

Human Assistive Rehabilitation System for Lower-limb using E...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Kawai, Yasunori Miyazaki, Takato Miyoshi, Takanori National Institute of Technology Ishikawa College Department of Electrical Engineering Ishikawa Japan National Institute of Technology Ishikawa College Advanced Engineering Course Electronic and Mechanical Engineering Course Ishikawa Japan Nagaoka University of Technology Department of System Safety Niigata Japan

ISBN: (纸本)9798350324174

This paper considers a human assistive system of the rehabilitation for lower-limb using the exoskeleton. When the patient feels the fatigue in the rehabilitation, the power assist is needed to continue and to stop safety. First, the proposed power assist equipment using exoskeleton is indicated. The DC motor, the torsion spring, worm wheel, worm gear are used. Next, the control system using PI controller is proposed. The encoder attached to the knee joint is used as the reference value and the encoder attached to the motor is controlled by the motor. Finally, an experiment of repeated flexion and extension of the knee joint is conducted. It is verified that the motor can be controlled to be same angle of the knee angle. Therefore, the power assist by the exoskeleton is useful for the rehabilitation. © 2023 IEEE.

关键词： DC motors

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Proposal of a novel peeling of nano-particle (PNP) process for localized material removal on a hard material surface by controllable magnetic fields 22

Proposal of a novel peeling of nano-particle (PNP) process f...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Permpatdechakul, Thitipat Khajornrungruang, Panart Suzuki, Keisuke Kutomi, Shotaro Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Avanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

This article proposes a novel Peeling of Nano-Particle (PNP) process to locally remove material on a hard material surface using controllable magnetic fields. Fe3O4 particles in the size range of 50-100 nm in aqueous solution (pH value 11 adjusted by KOH) were magnetically controlled to adhere and remove from a 4H-SiC surface by two electromagnetic coils, which were sandwiched between the substrate. The particle controlling phenomenon on the surface was experimentally observed and verified by our developed apparatus applying an evanescent field. According to the results, particles could be controlled to approach and remove from the substrate surface with 12mT of magnetic field at the selective area on the substrate surface to realise the proposed PNP process. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Magnetic fields

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Neuronal electrical activity pattern extracted by 3D clustering and discriminated by a deep CNN

Neuronal electrical activity pattern extracted by 3D cluster...

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2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Ogomori, Kaito Kudoh, Suguru N. Dept. of Human System Interaction Hyougo Sanda Japan Artificial Intelligence and Mechanical Engineering Course Dept. of Engineering Hyougo Sanda Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Analyzing the dynamics of neural activity patterns using an electrophysiological approach is important for understanding the basis of information processing in a brain. In this study, we attempted to extract units of neuronal activity representing certain information and to discriminate activity pattern evoked by electrical stimulus and spontaneous activity without stimulation. We applied X-means clustering to the triplet of '2D-spacial coordinates and timestamps' of neuronal electrical spike bursts and the extracted single spatiotemporal neuronal activity pattern was converted into a standardized 8times 84 2D-spatial pattern map. Most 2D-spatial patterns emerged repeatedly during recording time, corresponding to a representative motif. Then we gathered similar 2D-spatial patterns (primary clusters) into one 'pattern repertoire' and attempted to classify these pattern repertoires depending on the stimulus inducing the pattern repertoire by VGG16 deep convolutional neural networks (deep CNN). For that, we prepared two types of 224times 224 images by converting the 2D-spatial pattern maps, the spatial information priority neural activity pattern image (SIP-NAP image) and the time information priority neural activity pattern image (TIP-NAP image). As a result, over 80% of high discrimination accuracy was obtained for both types of VGG16 input images, especially 99.7% for TIP-NAP image. It suggested that spatiotemporal features contributing to the discrimination between spontaneous and evoked response activities were extracted by 3-D-crustering. In addition, it is shown that the spatial pattern of neuroelectric activity is able to be discriminated with high accuracy by combining transfer learning and SIP-NAP / TIP-NAP image translation method, even with a small amount of training data. © 2022 IEEE.

关键词： Convolutional neural networks

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Absolute longitudinal distance measurement verification of a standard polystyrene nanoparticle near a surface in water by means of multi-wavelength evanescent field 22

Absolute longitudinal distance measurement verification of a...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Blattler, Aran Khajornrungruang, Panart Suzuki, Keisuke Baba, Akiyoshi Goto, Daiki Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Advanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan Center of Microelectronic System Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

In the wet semiconductor process, abrasive nanoparticles are widely used in the chemical mechanical polishing (CMP) process to polish wafer surfaces for high planarization. During polishing, nanoparticles move with a high-speed three-dimensional (3D) position in the solution. In the 3D particles's moving positions, Z is a perpendicular longitudinal distance between the surface to the nanoparticle that plays a significant role in polishing, which could not be measured by general microscopy without longitudinal scanning. To understand nanoparticle phenomena near-surface, we have proposed and developed the apparatus with real-time fastmotion tracking on optical multi-wavelength evanescent fields microscopy to measure the 3D motion of the nanoparticle in water without scanning. In euspen's 2020, we could verify the relative distance ?Z of nanoparticles in water, but the absolute distance Z is unknown yet. In this manuscript, we have therefore developed an invisible nano-step height in water to verify the absolute height Z of an individual nanoparticle. The invisible nano-step height in water is made from an optical resin with a refractive index of 1.35 that is close to a refractive index of water to avoid unnecessary light during experimental verification. The nano-step height was less than 100 nm on a glass surface, fabricated using nanoimprint lithography. Polystyrene f100 nm standard particles in water were used to verify the height Z. The results of height Z of nanoparticles could be measured less than 100 nm with the measurement uncertainty ±10 nm (2s), which is related to the interferometer result of the nano-step height. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Nanoparticles

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The Influence of False Memory on Trust in Others and Actual Accuracy 15

The Influence of False Memory on Trust in Others and Actual ...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Ochi, Kenta Kudoh, Suguru N. Kwansei Gakuin University Grad. Sch. Sci. and Tech Dept. Human System Interaction Sanda Japan Kwansei Gakuin University Artificial Intelligence and Mechanical Engineering Course Sch. Engineering Sanda Japan

ISBN: (纸本)9798350345247

False memory is a phenomenon of either remembering events that never happened or remembering them quite differently from the way they happened. The DRM paradigm often easily generates this phenomenon. In many studies with the paradigm, the experimental participants perform the cognitive tasks alone, but false memories are generally generated in conversations with others. In this study, we examined the influence of preconceived notions of others and images acquired in conversation on the formation of false memories as important factors in communication. Participants in the experiment learned words selected based on the DRM paradigm and shared information about the words with a text-to-speech agent via an online conferencing system. The experimental results showed that the degree to which the explicitly given confidence level influenced the formation of false memories depended on the accuracy of the agent. The agents tended to respond more confidently when accuracy matched the given confidence level. The fact that a combination of unconsciously perceived accuracy and consciously given confidence altered all of these factors has important implications in the field of communication. © 2023 IEEE.

关键词： DRM paradigm false memory fNIRS

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Numerical Simulation of Flow Field around NACA 0012 Airfoil at Low Reynold’s Number Assuming Mars Environment using OpenFoam

Numerical Simulation of Flow Field around NACA 0012 Airfoil ...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Okamoto, Atsushi Yamada, Takafumi Advanced Mechanical and Control System Engineering Course National Institute of Technology Tsuyama College 624-1 Okayama Numa Tsuyama708-8509 Japan Associate Professor Department of Integrated Science and Technology National Institute of Technology Tsuyama College 624-1 Okayama Numa Tsuyama708-8509 Japan

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this study, incompressible flow fields around a NACA0012 airfoil were numerically simulated at low Reynolds number for a Mars environment. For mesh generation, the standard Open FOAM utilities block Mesh and snappy HexMesh were used. Using those meshes and pisoFoam, which is PISO method-based analysis solver, NASA wind tunnel test conditions were numerically simulated in the Earth environment and obtained a similar lift gradient as in the experiment up to the stall. Then, the flow field of 12,000 Reynolds number, which simulates the Martian environment, was calculated. The variation of lift coefficient with increasing angle of attack was almost consistent with the experimental value in the Earth environment, and the stall angle was 16°. From the results of pressure distribution on the wing surface, it is suggested that compared to the Earth environment, the separation point movesfrom the leading edge to aft of the wing upper surface in the Martian environment. The flow field at the stall angle was similar to that of the Earth environment, and vortices were formed, however, their velocity vectors were very small, and dead water regions were observed near the trailing edge of the wing upper surface. More detailed aerodynamic characteristics should be clarified by evaluating the results using drag and moment coefficients until the SciTech Forum 2025. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

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EVALUATION ON JOINING BEHAVIOR OF UD-CF/EPOXY LAMINATES AND ALUMINUM PLATE USING ULTRASONIC HEATING 23

EVALUATION ON JOINING BEHAVIOR OF UD-CF/EPOXY LAMINATES AND ...

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23rd International Conference on Composite Materials, ICCM 2023

作者： Urano, A. Tanabe, D. Nishiyabu, K. Advanced Course of Mechanical System Engineering Kobe City College of Technology 8-3 Gakuen-Higashimachi Nishi-ku Kobe651-2194 Japan Department of Mechanical Engineering Kobe City College of Technology 8-3 Gakuen-Higashimachi Nishi-ku Kobe651-2194 Japan Faculty of Science and Engineering Kindai University 3-4-1 Kowakae Higashiosaka city Osaka577-8502 Japan

This study aims to reveal the ultrasonic joining behavior and joining strength of aluminium and carbon fiber reinforced plastics (CFRP) by using ultrasonic heating. The material used for experiment was unidirectional carbon fiber reinforced epoxy (UD-CF/Epoxy) laminates and aluminium (Al) plate. In order to improve the tensile shear strength of joining part, polishing and surface-modified phenoxy polymer coating were performed on the joining surface of the Al plates and UD-CF/Epoxy laminates. In this study, UD-CF/Epoxy laminates and Al plates were bonded by the ultrasonic welding method using phenoxy polymer sheet as energy director. The effects of processing conditions such as oscillation time, pressing force and surface treatment methods were investigated to improve the tensile shear strength. In this study, the various processing condition was investigated to improve the tensile shear strength. The contents for evaluation were single lap tensile share strength, cross-sectional and fracture surface observation. From the experimental results, it was found that the joining strength was depended on the difference in the surface treatment of joining surface. © 2023 International Committee on Composite Materials. All rights reserved.

关键词： Surface treatment

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface 1

Optical Evanescent Field for Direct Observation of Sub-100nm...

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1st International Conference on Robotics, engineering, Science, and Technology, RESTCON 2024

作者： Khajornrungruang, Panart Permpatdechakul, Thitipat Suzuki, Keisuke Blattler, Aran Terayama, Yutaka Goto, Daiki Phaisalpanumas, Pipat Bun-Athuek, Natthaphon Phunopas, Amornphun Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Division Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Fukuoka Japan Kyushu Institute of Technology Iizuka-Shi Mechanical Information Science and Technology Division Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Production and Robotics Engineering Bangkok Thailand Kyushu Institute of Technology Iizuka-Shi Mechanical Science and Technology Course Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Fukuoka Japan King Mongkut's University of Technology North Bangkok Bangsue Faculty of Engineering Dept. of Industiral Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Bangsue College of Industrial Technology Dept. of Mechanical Engineering Technology Bangkok Thailand

ISBN: (纸本)9798350348842

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes. © 2024 IEEE.

关键词： Visualization

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