84 citations · 169 across the 10 of their papers we have counts for
10 papers
"Task-relevant autoencoding" enhances machine learning for human neuroscience
Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese +6
In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require…
Two are not always better than one: Role specialization is an important determinant of collaborative task performance
Asuka Takai, Qiushi Fu, Yuzuru Doibata +7
Collaboration frequently yields better results in decision making, learning, and haptic interactions than when these actions are performed individually. However, is collaboration a…
From internal models toward metacognitive AI
Mitsuo Kawato, Aurelio Cortese
In several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the…
50 years since the Marr, Ito, and Albus models of the cerebellum
Mitsuo Kawato, Shogo Ohmae, Huu Hoang +1
Fifty years have passed since David Marr, Masao Ito, and James Albus proposed seminal models of cerebellar functions. These models share the essential concept that parallel-fiber-P…
The neural and cognitive architecture for learning from a small sample
Aurelio Cortese, Benedetto De Martino, Mitsuo Kawato
Artificial intelligence algorithms are capable of fantastic exploits, yet they are still grossly inefficient compared with the brain's ability to learn from few exemplars or solve…
Identifying melancholic depression biomarker using whole-brain functional connectivity
Naho Ichikawa, Giuseppe Lisi, Noriaki Yahata +14
By focusing on melancholic features with biological homogeneity, this study aimed to identify a small number of critical functional connections (FCs) that were specific only to the…
A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity
Yu Takagi, Yuki Sakai, Giuseppe Lisi +8
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2-3 percent. Recently, brain activity in the resting state is gathering attention…
Response to Comment on 'Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation'; How can a decoded neurofeedback method (DecNef) lead to successful reinforcement and visual perceptual learning?
Kazuhisa Shibata, Yuka Sasaki, Takeo Watanabe +1
Huang (arXiv:1612.03270) argues that the perceptual learning induced by our decoded neurofeedback method (DecNef) can be explained by Hebbian synaptic plasticity of connections bet…
Decoded fMRI neurofeedback can induce bidirectional behavioral changes within single participants
Aurelio Cortese, Kaoru Amano, Ai Koizumi +2
Studies using real-time functional magnetic resonance imaging (rt-fMRI) have recently incorporated the decoding approach, allowing for fMRI to be used as a tool for manipulation of…
Differential activation patterns in the same brain region led to opposite emotional states
Kazuhisa Shibata, Takeo Watanabe, Mitsuo Kawato +1
In human studies, how averaged activation in a brain region relates to human behavior has been extensively investigated. This approach has led to the finding that positive and nega…