Results 21 to 30 of about 2,281,376 (313)

Capacity differences in working memory based on resting state brain networks

Scientific Reports, 2021
Herein, we compared the connectivity of resting-state networks between participants with high and low working memory capacity groups. Brain network connectivity was assessed under both resting and working memory task conditions. Task scans comprised dual-
Mariko Osaka, Mizuki Kaneda, Miyuki Azuma, Ken Yaoi, Tetsuya Shimokawa, Naoyuki Osaka   +5 more
doaj   +1 more source

A comparative review on neuroethical issues in neuroscientific and neuroethical journals

Frontiers in Neuroscience, 2023
This study is a pilot literature review that compares the interest of neuroethicists and neuroscientists. It aims to determine whether there is a significant gap between the neuroethical issues addressed in philosophical neuroethics journals and ...
Shu Ishida, Yu Nishitsutsumi, Hideki Kashioka, Takahisa Taguchi, Ryuma Shineha   +4 more
doaj   +1 more source

Bimanual digit training improves right-hand dexterity in older adults by reactivating declined ipsilateral motor-cortical inhibition

Scientific Reports, 2021
Improving deteriorated sensorimotor functions in older individuals is a social necessity in a super-aging society. Previous studies suggested that the declined interhemispheric sensorimotor inhibition observed in older adults is associated with their ...
Eiichi Naito, Tomoyo Morita, Satoshi Hirose, Nodoka Kimura, Hideya Okamoto, Chikako Kamimukai, Minoru Asada   +6 more
doaj   +1 more source

The initial decrease in 7T-BOLD signals detected by hyperalignment contains information to decode facial expressions

NeuroImage, 2022
The initial decrease in the blood oxygenation level-dependent (BOLD) signal reflects primary neuronal activity more than the later hemodynamic positive peak responses.
Toshiko Tanaka, Naohiro Okamoto, Ikuhiro Kida, Masahiko Haruno   +3 more
doaj   +1 more source

Neural networks designing neural networks

Proceedings of the 35th International Conference on Computer-Aided Design, 2016
Artificial neural networks have gone through a recent rise in popularity, achieving state-of-the-art results in various fields, including image classification, speech recognition, and automated control. Both the performance and computational complexity of such models are heavily dependant on the design of characteristic hyper-parameters (e.g., number ...
Smithson, Sean C., Yang, Guang, Gross, Warren J., Meyer, Brett H.   +3 more
openaire   +2 more sources

Memory-Based Specification of Verbal Features for Classifying Animals into Super-Ordinate and Sub-Ordinate Categories

Frontiers in Communication, 2017
Accumulating evidence suggests that category representations are based on features. Distinguishing features are considered to define categories, because of all-or-none responses for objects in different categories; however, it is unclear how ...
Takahiro Soshi, Norio Fujimaki, Atsushi Matsumoto, Aya S. Ihara   +3 more
doaj   +1 more source

Neural network approximation [PDF]

Acta Numerica, 2021
Neural networks (NNs) are the method of choice for building learning algorithms. They are now being investigated for other numerical tasks such as solving high-dimensional partial differential equations. Their popularity stems from their empirical success on several challenging learning problems (computer chess/Go, autonomous navigation, face ...
DeVore, Ronald, Hanin, Boris, Petrova, Guergana   +2 more
openaire   +3 more sources

Cooperation and competition between the default mode network and frontal parietal network in the elderly

Frontiers in Psychology, 2023
Recent research has shown that the Default Mode Network (DMN) typically exhibits increased activation during processing of social and personal information but shows deactivation during working memory (WM) tasks.
Hideya Koshino, Mariko Osaka, Mariko Osaka, Tetsuya Shimokawa, Mizuki Kaneda, Seira Taniguchi, Takehiro Minamoto, Ken Yaoi, Miyuki Azuma, Katsuki Higo, Naoyuki Osaka   +10 more
doaj   +1 more source

Adaptive Sample-Size Unscented Particle Filter with Partitioned Sampling for Three-Dimensional High-Maneuvering Target Tracking

Applied Sciences, 2019
High-maneuvering target tracking is a focused application area in radar positioning and military defense systems, especially in three-dimensional space.
Qi Deng, Gang Chen, Huaxiang Lu
doaj   +1 more source

Quantitative models reveal the organization of diverse cognitive functions in the brain

Nature Communications, 2020
The authors construct quantitative models of human brain activity evoked by 103 cognitive tasks and reveal the organization of diverse cognitive functions in the brain.
Tomoya Nakai, Shinji Nishimoto
doaj   +1 more source