Yuta Nariya
Biographic Data
| ID | 7959175 |
|---|---|
| NAME | Yuta Nariya |
| GIVEN NAMES | Yuta |
| FAMILY NAME | Nariya |
| SIGNATURE | NARIYA Y |
| AFFILIATIONS | The University of Tokyo |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis
Despite growing evidence of aberrant neuronal complexity in Alzheimer's disease (AD), it remains unclear how this variation arises. Neural oscillations reportedly comprise different functions depending on their own properties. Therefore, in this study, we investigated details of the complexity of neural oscillations by decomposing the oscillations into frequency, amplitude, and phase for AD patients. We applied resting-state magnetoencephalograph…
Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity
Mental imagery behaviors of various modalities include visual, auditory, and motor behaviors. Their alterations are pathologically involved in various psychiatric disorders. Results of earlier studies suggest that imagery behaviors are correlated with the modulated activities of the respective modality-specific regions and the additional activities of supramodal imagery-related regions. Additionally, despite the availability of complexity analysi…
No prominent works on this page.
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis
Despite growing evidence of aberrant neuronal complexity in Alzheimer's disease (AD), it remains unclear how this variation arises. Neural oscillations reportedly comprise different functions depending on their own properties. Therefore, in this study, we investigated details of the complexity of neural oscillations by decomposing the oscillations into frequency, amplitude, and phase for AD patients. We applied resting-state magnetoencephalograph…
Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity
Mental imagery behaviors of various modalities include visual, auditory, and motor behaviors. Their alterations are pathologically involved in various psychiatric disorders. Results of earlier studies suggest that imagery behaviors are correlated with the modulated activities of the respective modality-specific regions and the additional activities of supramodal imagery-related regions. Additionally, despite the availability of complexity analysi…
Algorithm (2 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Computer Science (2 works) · EEG and Brain-Computer Interfaces (2 works) · Electroencephalography (2 works) · Magnetoencephalography (2 works) · Neural dynamics and brain function (2 works) · Neuroscience (2 works) · Pattern recognition (psychology (2 works)