Search Results - "Nobukawa, Sou"
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Changes in functional connectivity dynamics with aging: A dynamical phase synchronization approach
Published in NeuroImage (Orlando, Fla.) (01-03-2019)“…The dynamics of the human brain network has attracted broad attention, in recognition of the concept that functional connectivity is not static, but changes…”
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Long-Tailed Characteristics of Neural Activity Induced by Structural Network Properties
Published in Frontiers in applied mathematics and statistics (23-05-2022)“…Over the past few decades, neuroscience studies have elucidated the structural/anatomical network characteristics in the brain and their associations with…”
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A microcircuit model involving parvalbumin, somatostatin, and vasoactive intestinal polypeptide inhibitory interneurons for the modulation of neuronal oscillation during visual processing
Published in Cerebral cortex (New York, N.Y. 1991) (04-04-2023)“…Abstract Various subtypes of inhibitory interneurons contact one another to organize cortical networks. Most cortical inhibitory interneurons express 1 of 3…”
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Controlling Chaotic Resonance using External Feedback Signals in Neural Systems
Published in Scientific reports (21-03-2019)“…Stochastic resonance is a phenomenon in which the signal response of a non-linear system is enhanced by appropriate external noise. Likewise, a similar…”
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Atypical instantaneous spatio-temporal patterns of neural dynamics in Alzheimer’s disease
Published in Scientific reports (02-01-2024)“…Cognitive functions produced by large-scale neural integrations are the most representative ‘emergence phenomena’ in complex systems. A novel approach focusing…”
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Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis
Published in Frontiers in neuroscience (28-06-2021)“…Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative disease that primarily develops in old age. In recent…”
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Dynamic Pattern Recognition Model Based on Neural Network Response to Signal Fluctuation
Published in Journal of advanced computational intelligence and intelligent informatics (01-01-2023)“…We have proposed a model of dynamic retrieval in associative memory based on temporal input/output correlations under a stimulus-response open scheme of neural…”
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Editorial: Perspectives in brain-network dynamics in computational psychiatry
Published in Frontiers in computational neuroscience (22-09-2023)“…In these multiscale neural activities, the network dynamics, which is captured by the degree of synchronization and information flow between pair-wise brain…”
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Resonance phenomena controlled by external feedback signals and additive noise in neural systems
Published in Scientific reports (02-09-2019)“…Chaotic resonance is a phenomenon that can replace the fluctuation source in stochastic resonance from additive noise to chaos. We previously developed a…”
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Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise
Published in International journal of neural systems (01-08-2016)“…Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of…”
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Chaotic Resonance in Typical Routes to Chaos in the Izhikevich Neuron Model
Published in Scientific reports (02-05-2017)“…Chaotic resonance (CR), in which a system responds to a weak signal through the effects of chaotic activities, is a known function of chaos in neural systems…”
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Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution
Published in IEEE transaction on neural networks and learning systems (01-08-2021)“…Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP)…”
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Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer's Disease
Published in Frontiers in psychiatry (07-04-2020)“…Electroencephalography (EEG) has long been studied as a potential diagnostic method for Alzheimer's disease (AD). The pathological progression of AD leads to…”
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Temporal-specific complexity of spiking patterns in spontaneous activity induced by a dual complex network structure
Published in Scientific reports (04-09-2019)“…Temporal fluctuation of neural activity in the brain has an important function in optimal information processing. Spontaneous activity is a source of such…”
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Analysis of Chaotic Resonance in Izhikevich Neuron Model
Published in PloS one (30-09-2015)“…In stochastic resonance (SR), the presence of noise helps a nonlinear system amplify a weak (sub-threshold) signal. Chaotic resonance (CR) is a phenomenon…”
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Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networks
Published in Scientific reports (15-04-2024)“…The echo state network (ESN) is an excellent machine learning model for processing time-series data. This model, utilising the response of a recurrent neural…”
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Identification of attention-deficit hyperactivity disorder based on the complexity and symmetricity of pupil diameter
Published in Scientific reports (19-04-2021)“…Adult attention-deficit/hyperactivity disorder (ADHD) frequently leads to psychological/social dysfunction if unaddressed. Identifying a reliable biomarker…”
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Routes to Chaos Induced by a Discontinuous Resetting Process in a Hybrid Spiking Neuron Model
Published in Scientific reports (10-01-2018)“…Several hybrid spiking neuron models combining continuous spike generation mechanisms and discontinuous resetting processes following spiking have been…”
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Synchronization of Chaos in Neural Systems
Published in Frontiers in applied mathematics and statistics (25-06-2020)“…Multiple non-linear systems demonstrate the phenomenon where fluctuations enhance the synchronization and periodic behaviors of the system. In the phenomenon…”
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Alteration of Neural Network Activity With Aging Focusing on Temporal Complexity and Functional Connectivity Within Electroencephalography
Published in Frontiers in aging neuroscience (04-02-2022)“…With the aging process, brain functions, such as attention, memory, and cognitive functions, degrade over time. In a super-aging society, the alteration of…”
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