Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Koji Jimura"'
Autor:
Moe Okayasu, Tensei Inukai, Daiki Tanaka, Kaho Tsumura, Reiko Shintaki, Masaki Takeda, Kiyoshi Nakahara, Koji Jimura
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
It remains unclear how the Stroop effect occurs and gets resolved in the human brain. Here, the authors show that a functional loop involving the prefrontal cortex and cerebellum may play a critical role during word-color perception.
Externí odkaz:
https://doaj.org/article/c576d808d5c24cb19901912d3b80683e
Autor:
Noriya Watanabe, Kosuke Miyoshi, Koji Jimura, Daisuke Shimane, Ruedeerat Keerativittayayut, Kiyoshi Nakahara, Masaki Takeda
Publikováno v:
NeuroImage, Vol 275, Iss , Pp 120164- (2023)
Perception and categorization of objects in a visual scene are essential to grasp the surrounding situation. Recently, neural decoding schemes, such as machine learning in functional magnetic resonance imaging (fMRI), has been employed to elucidate t
Externí odkaz:
https://doaj.org/article/fdaff64f434c4126b2a7e259f1e8d0aa
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2023)
Resting-state (rs) fMRI has been widely used to examine brain-wide large-scale spatiotemporal architectures, known as resting-state networks (RSNs). Recent studies have focused on the temporally evolving characteristics of RSNs, but it is unclear wha
Externí odkaz:
https://doaj.org/article/50ecf32e5249437c9523fc995b3d9232
Autor:
Teppei Matsui, Yoshiki Hattori, Kaho Tsumura, Ryuta Aoki, Masaki Takeda, Kiyoshi Nakahara, Koji Jimura
Publikováno v:
NeuroImage, Vol 249, Iss , Pp 118892- (2022)
In real life, humans make decisions by taking into account multiple independent factors, such as delay and probability. Cognitive psychology suggests that cognitive control mechanisms play a key role when facing such complex task conditions. However,
Externí odkaz:
https://doaj.org/article/72088216d763480ba8dcc9c723628da6
Publikováno v:
NeuroImage, Vol 249, Iss , Pp 118904- (2022)
The non-stationarity of resting-state brain activity has received increasing attention in recent years. Functional connectivity (FC) analysis with short sliding windows and coactivation pattern (CAP) analysis are two widely used methods for assessing
Externí odkaz:
https://doaj.org/article/be1440bb148f4b6e8d7511b96329c67b
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2022)
Deep neural networks (DNNs) can accurately decode task-related information from brain activations. However, because of the non-linearity of DNNs, it is generally difficult to explain how and why they assign certain behavioral tasks to given brain act
Externí odkaz:
https://doaj.org/article/68b631c391a4444eb865ecc95b5ea80c
Autor:
Ayaka Misonou, Koji Jimura
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 15 (2021)
Intertemporal choice involves the evaluation of future rewards and reflects behavioral impulsivity. After choosing a delayed reward in an intertemporal choice, a behavioral agent waits for, receives, and then consumes the reward. The current study fo
Externí odkaz:
https://doaj.org/article/51ee5b7f82434aa28dc39ad7c6c5a464
Autor:
Ruedeerat Keerativittayayut, Ryuta Aoki, Mitra Taghizadeh Sarabi, Koji Jimura, Kiyoshi Nakahara
Publikováno v:
eLife, Vol 7 (2018)
Although activation/deactivation of specific brain regions has been shown to be predictive of successful memory encoding, the relationship between time-varying large-scale brain networks and fluctuations of memory encoding performance remains unclear
Externí odkaz:
https://doaj.org/article/4f0a4f7bfdb646f1afb0644da7b820dc
Publikováno v:
Frontiers in Human Neuroscience, Vol 12 (2018)
Functional areas in fMRI studies are often detected by brain-behavior correlation, calculating across-subject correlation between the behavioral index and the brain activity related to a function of interest. Within-subject correlation analysis is al
Externí odkaz:
https://doaj.org/article/588d725dda9544fd9d26096b3ba489f2
Autor:
Mitra Taghizadeh Sarabi, Ryuta Aoki, Kaho Tsumura, Ruedeerat Keerativittayayut, Koji Jimura, Kiyoshi Nakahara
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0196866 (2018)
The neural mechanisms underlying visual perceptual learning (VPL) have typically been studied by examining changes in task-related brain activation after training. However, the relationship between post-task "offline" processes and VPL remains unclea
Externí odkaz:
https://doaj.org/article/3980bf75cc6444b38bceb22fbc17a45b