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Papers by Hirofumi Nagashino

Research paper thumbnail of System Identification of the Brain Dynamics by EEG Analysis Using Neural Networks

Lecture Notes in Computer Science, 2003

ABSTRACT

Research paper thumbnail of Firing Modes in Reciprocal Inhibition Neural Networks and Their Analysis (Mathematical Problems in Biology-'80)

Research paper thumbnail of Periodic activities in a reciprocal inhibition network consisting of a large number of neurons

Research paper thumbnail of Identification of biological signal sources for circadian and cardiac cycle rhythms using BP neural networks

Research paper thumbnail of Synchronization with a periodic pulse train in an asymmetrically coupled neuronal network model

Research paper thumbnail of Oscillatory modes in a neuronal network model with transmission latency

Research paper thumbnail of Oscillatory modes in coupled nonidentical neural oscillators

We analyzed the characteristics of periodic solutions in a theoretical model of two symmetrically... more We analyzed the characteristics of periodic solutions in a theoretical model of two symmetrically coupled neural oscillators which are nonidentical in that a coupling coefficient between the units inside an oscillaor is different from the corresponding one in the other oscillator. The present paper shows this model has different qualitative oscillatory properties from the case where two identical oscillators are coupled with different coupling coefficients to each other.

Research paper thumbnail of Phase transitions in oscillatory neural networks

Proceedings of SPIE - The International Society for Optical Engineering

ABSTRACT

Research paper thumbnail of Magnetic motion measurement using BPNN

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Extracting characteristic feature of a inert region from EEG

Research paper thumbnail of A computational framework with simplified tonotopicity and homeostatic plasticity for tinnitus generation and its management by sound therapy

WSEAS Transactions on Biology and Biomedicine

ABSTRACT

Research paper thumbnail of Magnetic motion measurement using BPNN

IFMBE proceedings

ABSTRACT

Research paper thumbnail of Detection of biological system deviation by BPNN

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2004

ABSTRACT

Research paper thumbnail of A neuronal network model with homeostatic plasticity for tinnitus generation and its management by sound therapy

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012

ABSTRACT Tinnitus is the perception that one hears phantom sound(s) in the ears or in the head wi... more ABSTRACT Tinnitus is the perception that one hears phantom sound(s) in the ears or in the head without any external source. Sound therapy is one of the most effective techniques for tinnitus treatment that have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy, we previously proposed computational and dynamical models with Hebbian or spike-time-dependent plasticity using a neural oscillator or a neuronal network. In the present paper, we propose a neuronal network model with homeostatic plasticity and demonstrate the simulation results of the model. The model is able to replicate the process of tinnitus generation and inhibition of perception of tinnitus by sound therapy.

Research paper thumbnail of Analysis of Multi-Layer Neural Network’s Recognition Mechanism Using Alopex Algorithm

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Extracting characteristic feature of a inert region from EEG

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Inhibition of Oscillation in a Plastic Neural Network Model of Tinnitus Therapy Using Noise Stimulus

Tinnitus is the perception of phantom sounds in the ears or in the head. Accordingly sound therap... more Tinnitus is the perception of phantom sounds in the ears or in the head. Accordingly sound therapy for tinnitus has been used. To account for mechanisms of tinnitus generation and the clinical effects of sound therapies from the viewpoint of neural engineering, we have proposed a plastic neural network model for the human auditory system. We found that this model has a bistable state, i.e., a stable oscillatory state and a stable equilibrium (non-oscillatory) state coexist at a certain parameter region. This paper describes inhibition of the oscillation for various kinds of noise stimuli, because noise stimuli are presented to tinnitus sufferers for therapeutic purposes. Through several numerical simulations it was shown that noise stimulus can inhibit the oscillation (similar to residual inhibition as seen in clinical studies), however, the oscillation is not inhibited in all cases, i.e., the effect of inhibition is not pervasive as in the case of inhibition in clinical cases.

Research paper thumbnail of Inhibition of oscillation in a neuronal network model for tinnitus management by sound therapy

ABSTRACT An abstract is not available.

Research paper thumbnail of A plastic neuronal network model with STDP for tinnitus management by sound therapy

International Journal of Mathematical Models and Methods in Applied Sciences

Tinnitus is a perception of sound in the ears or in the head without external source. There are m... more Tinnitus is a perception of sound in the ears or in the head without external source. There are many therapeutic approaches for tinnitus. Sound therapy is one of the effective techniques for its treatment. We have proposed computational models with plasticity by Hebbian hypothesis using a neural oscillator or coupled model neurons described by simplified Hodgkin-Huxley equations in order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the neural engineering point of view. In the present paper, a neuronal network model with synaptic plasticity by STDP (spike-timing-dependent plasticity) hypothesis is proposed for replication of the clinical results that human auditory system temporarily halts perception of tinnitus following sound therapy.

Research paper thumbnail of A Neural Oscillator Model for Tinnitus and Its Management by Sound Therapy

Research paper thumbnail of System Identification of the Brain Dynamics by EEG Analysis Using Neural Networks

Lecture Notes in Computer Science, 2003

ABSTRACT

Research paper thumbnail of Firing Modes in Reciprocal Inhibition Neural Networks and Their Analysis (Mathematical Problems in Biology-'80)

Research paper thumbnail of Periodic activities in a reciprocal inhibition network consisting of a large number of neurons

Research paper thumbnail of Identification of biological signal sources for circadian and cardiac cycle rhythms using BP neural networks

Research paper thumbnail of Synchronization with a periodic pulse train in an asymmetrically coupled neuronal network model

Research paper thumbnail of Oscillatory modes in a neuronal network model with transmission latency

Research paper thumbnail of Oscillatory modes in coupled nonidentical neural oscillators

We analyzed the characteristics of periodic solutions in a theoretical model of two symmetrically... more We analyzed the characteristics of periodic solutions in a theoretical model of two symmetrically coupled neural oscillators which are nonidentical in that a coupling coefficient between the units inside an oscillaor is different from the corresponding one in the other oscillator. The present paper shows this model has different qualitative oscillatory properties from the case where two identical oscillators are coupled with different coupling coefficients to each other.

Research paper thumbnail of Phase transitions in oscillatory neural networks

Proceedings of SPIE - The International Society for Optical Engineering

ABSTRACT

Research paper thumbnail of Magnetic motion measurement using BPNN

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Extracting characteristic feature of a inert region from EEG

Research paper thumbnail of A computational framework with simplified tonotopicity and homeostatic plasticity for tinnitus generation and its management by sound therapy

WSEAS Transactions on Biology and Biomedicine

ABSTRACT

Research paper thumbnail of Magnetic motion measurement using BPNN

IFMBE proceedings

ABSTRACT

Research paper thumbnail of Detection of biological system deviation by BPNN

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2004

ABSTRACT

Research paper thumbnail of A neuronal network model with homeostatic plasticity for tinnitus generation and its management by sound therapy

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012

ABSTRACT Tinnitus is the perception that one hears phantom sound(s) in the ears or in the head wi... more ABSTRACT Tinnitus is the perception that one hears phantom sound(s) in the ears or in the head without any external source. Sound therapy is one of the most effective techniques for tinnitus treatment that have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy, we previously proposed computational and dynamical models with Hebbian or spike-time-dependent plasticity using a neural oscillator or a neuronal network. In the present paper, we propose a neuronal network model with homeostatic plasticity and demonstrate the simulation results of the model. The model is able to replicate the process of tinnitus generation and inhibition of perception of tinnitus by sound therapy.

Research paper thumbnail of Analysis of Multi-Layer Neural Network’s Recognition Mechanism Using Alopex Algorithm

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Extracting characteristic feature of a inert region from EEG

IFMBE Proceedings, 2007

ABSTRACT

Research paper thumbnail of Inhibition of Oscillation in a Plastic Neural Network Model of Tinnitus Therapy Using Noise Stimulus

Tinnitus is the perception of phantom sounds in the ears or in the head. Accordingly sound therap... more Tinnitus is the perception of phantom sounds in the ears or in the head. Accordingly sound therapy for tinnitus has been used. To account for mechanisms of tinnitus generation and the clinical effects of sound therapies from the viewpoint of neural engineering, we have proposed a plastic neural network model for the human auditory system. We found that this model has a bistable state, i.e., a stable oscillatory state and a stable equilibrium (non-oscillatory) state coexist at a certain parameter region. This paper describes inhibition of the oscillation for various kinds of noise stimuli, because noise stimuli are presented to tinnitus sufferers for therapeutic purposes. Through several numerical simulations it was shown that noise stimulus can inhibit the oscillation (similar to residual inhibition as seen in clinical studies), however, the oscillation is not inhibited in all cases, i.e., the effect of inhibition is not pervasive as in the case of inhibition in clinical cases.

Research paper thumbnail of Inhibition of oscillation in a neuronal network model for tinnitus management by sound therapy

ABSTRACT An abstract is not available.

Research paper thumbnail of A plastic neuronal network model with STDP for tinnitus management by sound therapy

International Journal of Mathematical Models and Methods in Applied Sciences

Tinnitus is a perception of sound in the ears or in the head without external source. There are m... more Tinnitus is a perception of sound in the ears or in the head without external source. There are many therapeutic approaches for tinnitus. Sound therapy is one of the effective techniques for its treatment. We have proposed computational models with plasticity by Hebbian hypothesis using a neural oscillator or coupled model neurons described by simplified Hodgkin-Huxley equations in order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the neural engineering point of view. In the present paper, a neuronal network model with synaptic plasticity by STDP (spike-timing-dependent plasticity) hypothesis is proposed for replication of the clinical results that human auditory system temporarily halts perception of tinnitus following sound therapy.

Research paper thumbnail of A Neural Oscillator Model for Tinnitus and Its Management by Sound Therapy

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