A neuronal network model with simplified tonotopicity for tinnitus generation and its relief by sound therapy.

Tinnitus is the perception of sound in the ears or in the head where no external source is present. 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 have proposed conceptual and computational models with plasticity using a neural oscillator or a neuronal network model.

Comparison of neuronal network models for tinnitus management by sound therapy.

Tinnitus is a condition in which sounds heard in the ear or head without any external sound. There are many therapeutic approaches for tinnitus and sound therapy is one of the techniques for its treatment that have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the viewpoint of neural engineering, we have proposed computational models with plasticity and inhibitory feedback using a neural oscillator or model neurons described by simplified Hodgkin-Huxley equations.

Oscillation and its inhibition in a neuronal network model for tinnitus sound therapy.

Tinnitus is the perception of phantom sounds in the ears or in the head. Sound therapy techniques for tinnitus treatment have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the viewpoint of neural engineering, we have proposed a computational model using a neural oscillator.

EEG analysis using moving average-type neural network.

The brain is one of nonlinear systems. EEG (electroencephalogram) is widely used to monitor the brain condition. Frequency analysis method is given as general EEG analysis method.

Localization of an inert region in the brain using modified Levenberg Marquarts neural network.

We tested the localization accuracy of electroencephalograph (EEG) for an inert region in a simulation at sizes ranging from 1 to 8 cm at 1 cm intervals. We used international 10-20 system electrodes placements and three concentric shell model to calculate forward problems. From using the data, neural network could be used to solve inverse problems.

Dynamical properties of a plastic neural network model for tinnitus therapy and inhibition of oscillation using noise stimulus.

Tinnitus is the perception of phantom sounds in the ears or in the head. Sound therapy techniques for tinnitus have been proposed. 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.

Oscillation and its inhibition in a neural oscillator model for tinnitus.

Tinnitus is a symptom of perceiving phantom sounds. As one of its treatment techniques, tinnitus retraining therapy (TRT) has been proposed. It consists of psychotherapy by counseling and physical therapy based on masking theory by external stimuli.

Analysis for brain activities during operations using measured EEG.

EEG (electroencephalogram) analysis is one of the most familiar methods. The goal of this study is to develop the integrated EEG analysis software. In some cases, temporary or permanent occlusion of the arteries, which participates the cerebral blood flow, is needed during surgery.