Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Takashi SHINOZAKI"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract Perception of facial expression is crucial for primate social interactions. This visual information is processed through the ventral cortical pathway and the subcortical pathway. However, the subcortical pathway exhibits inaccurate processin
Externí odkaz:
https://doaj.org/article/e2a38850fa954ae8940bfff823607b26
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Cultural similarities and differences in facial expressions have been a controversial issue in the field of facial communications. A key step in addressing the debate regarding the cultural dependency of emotional expression (and perception) is to ch
Externí odkaz:
https://doaj.org/article/83c222a559aa40e5afb559e04e3883a6
Autor:
Ken-ichi Okada, Kenichiro Miura, Michiko Fujimoto, Kentaro Morita, Masatoshi Yoshida, Hidenaga Yamamori, Yuka Yasuda, Masao Iwase, Mikio Inagaki, Takashi Shinozaki, Ichiro Fujita, Ryota Hashimoto
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Schizophrenia affects various aspects of cognitive and behavioural functioning. Eye movement abnormalities are commonly observed in patients with schizophrenia (SZs). Here we examined whether such abnormalities reflect an anomaly in inhibiti
Externí odkaz:
https://doaj.org/article/62fc1a90c1904294bcc880c9d1f7637d
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detecti
Externí odkaz:
https://doaj.org/article/7628bc18e7914601ab3b0de6a75d82c9
Publikováno v:
Journal of Japan Institute of Light Metals. 72:691-701
Publikováno v:
Materials Transactions; 2023, Vol. 64 Issue 12, p2687-2699, 13p
Autor:
Takashi Shinozaki
Publikováno v:
Neural Networks. 144:271-278
This study proposes a novel biologically motivated learning method for deep convolutional neural networks (CNNs). The combination of CNNs and backpropagation learning is the most powerful method in recent machine learning regimes. However, it require
Autor:
Toshihiko Shinya, Takashi Shinozaki, Yosuke Nakabayashi, Katsushi Matsumoto, Jun Mizutani, Hiroshi Akamatsu, Jun Shimojo
Publikováno v:
Journal of Japan Institute of Light Metals. 70:43-50
Publikováno v:
Computers in Biology and Medicine. 110:227-233
Introduction Epileptologists could benefit from a diagnosis support system that automatically detects seizures because visual inspection of long-term electroencephalograms (EEGs) is extremely time-consuming. However, the diversity of seizures among p
Autor:
Takashi Shinozaki, Jun Shimojo, Hiroshi Akamatsu, Katsushi Matsumoto, Toshihiko Shinya, Jun Mizutani, Yosuke Nakabayashi
Publikováno v:
Materials Transactions; 2022, Vol. 63 Issue 6, p845-853, 9p