Tsukasa Okimura
Biographic Data
| ID | 7960123 |
|---|---|
| NAME | Tsukasa Okimura |
| GIVEN NAMES | Tsukasa |
| FAMILY NAME | Okimura |
| SIGNATURE | OKIMURA T |
| AFFILIATIONS | Keio University |
| ORCID | 0000-0001-7795-4337 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinica…
Dysconnectivity of the Agency Network in Schizophrenia: A Functional Magnetic Resonance Imaging Study
Background: Self-disturbances in schizophrenia have recently been explained by an abnormality in the sense of agency (SoA). The cerebral structures of SoA in healthy people are considered to mainly include the insula and inferior parietal lobule. In contrast, the functional lesion of aberrant SoA in schizophrenia is not yet fully understood. Considering the recent explanation of establishing SoA from the standpoint of associative learning, the "a…
No prominent works on this page.
Dysconnectivity of the Agency Network in Schizophrenia: A Functional Magnetic Resonance Imaging Study
Background: Self-disturbances in schizophrenia have recently been explained by an abnormality in the sense of agency (SoA). The cerebral structures of SoA in healthy people are considered to mainly include the insula and inferior parietal lobule. In contrast, the functional lesion of aberrant SoA in schizophrenia is not yet fully understood. Considering the recent explanation of establishing SoA from the standpoint of associative learning, the "a…
Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinica…
Neuroscience (2 works) · Psychiatry (2 works) · Psychology (2 works) · Artificial Intelligence (1 works) · Cognitive science (1 works) · Computational model (1 works) · Computational neuroscience (1 works) · Computer Science (1 works) · Data science (1 works) · Field (mathematics (1 works)