Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Shingo Murata"'
Publikováno v:
Computational Psychiatry, Vol 7, Iss 1 (2023)
Functional connectivity (FC) and neural excitability may interact to affect symptoms of autism spectrum disorder (ASD). We tested this hypothesis with neural network simulations, and applied it with functional magnetic resonance imaging (fMRI). A hie
Externí odkaz:
https://doaj.org/article/b40c4bfd85d04dd8bdb3672c368b6cf2
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract The mechanism underlying the emergence of emotional categories from visual facial expression information during the developmental process is largely unknown. Therefore, this study proposes a system-level explanation for understanding the fac
Externí odkaz:
https://doaj.org/article/767b485d95b94e68ba75dbc60c2b2426
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
We propose a tool-use model that enables a robot to act toward a provided goal. It is important to consider features of the four factors; tools, objects actions, and effects at the same time because they are related to each other and one factor can i
Externí odkaz:
https://doaj.org/article/5d8ec521d42d46eea9cb155680ed5978
Publikováno v:
Computational Psychiatry, Vol 2, Pp 164-182 (2018)
Recently, applying computational models developed in cognitive science to psychiatric disorders has been recognized as an essential approach for understanding cognitive mechanisms underlying psychiatric symptoms. Autism spectrum disorder is a neurode
Externí odkaz:
https://doaj.org/article/69190e16e6ef473abeb0d3749beeadd4
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Neurodevelopmental disorders, including autism spectrum disorder, have been intensively investigated at the neural, cognitive, and behavioral levels, but the accumulated knowledge remains fragmented. In particular, developmental learning aspects of s
Externí odkaz:
https://doaj.org/article/5ea7a22bd8c94da6b59d395ec307aa26
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/a89b97df5cdf4db6b518f48d819a2907
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
We propose an imitative learning model that allows a robot to acquire positional relations between the demonstrator and the robot, and to transform observed actions into robotic actions. Providing robots with imitative capabilities allows us to teach
Externí odkaz:
https://doaj.org/article/24c6c76734fa4e5ca3ea2ee58da696bf
Publikováno v:
Frontiers in Neurorobotics, Vol 11 (2017)
An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of e
Externí odkaz:
https://doaj.org/article/148bbfd741e94035afb2d1791d219abb
Publikováno v:
Frontiers in Neurorobotics, Vol 10 (2016)
To work cooperatively with humans by using language, robots must not only acquire a mapping between language and their behavior but also autonomously utilize the mapping in appropriate contexts of interactive tasks online. To this end, we propose a n
Externí odkaz:
https://doaj.org/article/b447d3e72f0f4e619392f164160eab63
Publikováno v:
IEEE Transactions on Human-Machine Systems. 52:928-940
This paper presents a new data-driven framework for analyzing periodic physical human-robot interaction (pHRI) in latent state space. To elaborate human understanding and/or robot control during pHRI, the model representing pHRI is critical. Recent d