21 Result(s)
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Junichiro Yoshimoto
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Article
Analysis of Cytokine Profiles in Pediatric Myocarditis Multicenter Study
Acute myocarditis (AM) is an inflammatory disease of the heart muscle that can progress to fulminant myocarditis (FM), a severe and life-threatening condition. The cytokine profile of myocarditis in children, ...
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Chapter and Conference Paper
Temporal Attention for Robust Multiple Object Pose Tracking
Estimating the pose of multiple objects has improved substantially since deep learning became widely used. However, the performance deteriorates when the objects are highly similar in appearance or when occlus...
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Article
Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution
In working toward the goal of uncovering the inner workings of the brain, various imaging techniques have been the subject of research. Among the prominent technologies are devices that are based on the abilit...
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Article
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems
Recent advanced driver assistance systems’ (ADASs) control cars to avoid accidents, but few of them consider driver’s comfort. To realize comfortable driving, an ADAS must sense the driver’s emotions, especial...
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Article
Open AccessAuthor Correction: Remote control of neural function by X-ray-induced scintillation
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Article
Open AccessRemote control of neural function by X-ray-induced scintillation
Scintillators emit visible luminescence when irradiated with X-rays. Given the unlimited tissue penetration of X-rays, the employment of scintillators could enable remote optogenetic control of neural function...
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Chapter
Dynamics of Basal Ganglia and Thalamus in Parkinsonian Tremor
Although beta-range oscillation is observed in the basal ganglia (BG) of Parkinson’s disease (PD) patients, its causal role in Parkinson’s tremor has been controversial because the PD tremor is in much lower f...
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Article
Open AccessIdentification of depression subtypes and relevant brain regions using a data-driven approach
It is well known that depressive disorder is heterogeneous, yet little is known about its neurophysiological subtypes. In the present study, we identified neurophysiological subtypes of depression related to s...
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Article
Open AccessSparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data
Advance in high-throughput technologies in genomics, transcriptomics, and metabolomics has created demand for bioinformatics tools to integrate high-dimensional data from different sources. Canonical correlati...
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Article
Open AccessModel-based action planning involves cortico-cerebellar and basal ganglia networks
Humans can select actions by learning, planning, or retrieving motor memories. Reinforcement Learning (RL) associates these processes with three major classes of strategies for action selection: exploratory RL...
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Article
Open Access25th Annual Computational Neuroscience Meeting: CNS-2016
A1 Functional advantages of cell-type heterogeneity in neural circuits
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Article
Open AccessEmpirical Bayesian significance measure of neuronal spike response
Functional connectivity analyses of multiple neurons provide a powerful bottom-up approach to reveal functions of local neuronal circuits by using simultaneous recording of neuronal activity. A statistical met...
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Article
Open AccessA full rat-scale model of the basal ganglia and thalamocortical network to reproduce Parkinsonian tremor
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Chapter and Conference Paper
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network
Identification of functional connectivity between neurons is an important issue in computational neuroscience. Recently, the number of simultaneously recorded neurons is increasing, and computational complexit...
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Chapter and Conference Paper
Calcium Responses Model in Striatum Dependent on Timed Input Sources
The striatum is the input nucleus of the basal ganglia and is thought to be involved in reinforcement learning. The striatum receives glutamate input from the cortex, which carries sensory information, and dop...
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Chapter and Conference Paper
A New Natural Policy Gradient by Stationary Distribution Metric
The parameter space of a statistical learning machine has a Riemannian metric structure in terms of its objective function. [1] Amari proposed the concept of “natural gradient” that takes the Riemannian metric...
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Chapter and Conference Paper
Robust Population Coding in Free-Energy-Based Reinforcement Learning
We investigate the properties of free-energy-based reinforcement learning using a new experimental platform called the digit floor task. The simulation results showed the robustness of the reinforcement learni...
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Chapter and Conference Paper
Bayesian System Identification of Molecular Cascades
We present a Bayesian method for the system identification of molecular cascades in biological systems. The contribution of this study is to provide a theoretical framework for unifying three issues: 1) estima...
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Article
Acrobot control by learning the switching of multiple controllers
Reinforcement learning (RL) has been applied to constructing controllers for nonlinear systems in recent years. Since RL methods do not require an exact dynamics model of the controlled object, they have a hig...
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Chapter and Conference Paper
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
In this article, we present an on-line variational Bayes (VB) method for the identification of linear state space models. The learning algorithm is implemented as alternate maximization of an on-line free ener...
