Giuseppe Lisi
Giuseppe Lisi
Former Computational Neuroscience Labs, ATR, Kyoto, Japan
Verified email at
Cited by
Cited by
A small number of abnormal brain connections predicts adult autism spectrum disorder
N Yahata, J Morimoto, R Hashimoto, G Lisi, K Shibata, Y Kawakubo, ...
Nature communications 7 (1), 11254, 2016
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
A Yamashita, N Yahata, T Itahashi, G Lisi, T Yamada, N Ichikawa, ...
PLoS biology 17 (4), e3000042, 2019
A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity
Y Takagi, Y Sakai, G Lisi, N Yahata, Y Abe, S Nishida, T Nakamae, ...
Scientific reports 7 (1), 7538, 2017
Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback
K Shibata, G Lisi, A Cortese, T Watanabe, Y Sasaki, M Kawato
NeuroImage 188, 539-556, 2019
A multi-site, multi-disorder resting-state magnetic resonance image database
SC Tanaka, A Yamashita, N Yahata, T Itahashi, G Lisi, T Yamada, ...
Scientific data 8 (1), 227, 2021
Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants
N Ichikawa, G Lisi, N Yahata, G Okada, M Takamura, R Hashimoto, ...
Scientific reports 10 (1), 3542, 2020
EEG single-trial detection of gait speed changes during treadmill walk
G Lisi, J Morimoto
PloS one 10 (5), e0125479, 2015
Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity
Y Yoshihara, G Lisi, N Yahata, J Fujino, Y Matsumoto, J Miyata, ...
Schizophrenia bulletin 46 (5), 1210-1218, 2020
Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robot
G Lisi, T Noda, J Morimoto
Frontiers in systems neuroscience 8, 85, 2014
Markov switching model for quick detection of event related desynchronization in EEG
G Lisi, D Rivela, A Takai, J Morimoto
Frontiers in neuroscience 12, 329114, 2018
Dry-wireless EEG and asynchronous adaptive feature extraction towards a plug-and-play co-adaptive brain robot interface
G Lisi, M Hamaya, T Noda, J Morimoto
2016 IEEE International Conference on Robotics and Automation (ICRA), 959-966, 2016
Quantification of anticipation of excitement with a three-axial model of emotion with EEG
MG Machizawa, G Lisi, N Kanayama, R Mizuochi, K Makita, T Sasaoka, ...
Journal of Neural Engineering 17 (3), 036011, 2020
From the classification of EMG signals to the development of a new lower arm prosthesis
G Lisi, P Belluco, D Cattaneo, G Gini
IFAC Proceedings Volumes 44 (1), 6493-6498, 2011
Noninvasive Brain Machine Interfaces for Assistive and Rehabilitation Robotics: A Review
G Lisi, J Morimoto
Human Modeling for Bio-Inspired Robotics, 187-216, 2016
EEG sensorimotor correlates of speed during forearm passive movements
F Iwane, G Lisi, J Morimoto
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (9 …, 2019
Identifying melancholic depression biomarker using whole-brain functional connectivity
N Ichikawa, G Lisi, N Yahata, G Okada, M Takamura, M Yamada, ...
arXiv preprint arXiv:1704.01039, 2017
Brain network dynamics fingerprints are resilient to data heterogeneity
T Menara, G Lisi, F Pasqualetti, A Cortese
Journal of Neural Engineering 18 (2), 026004, 2021
Differentiation device, differentiation method for depression symptoms, determination method for level of depression symptoms, stratification method for depression patients …
G Lisi, J Morimoto, M Kawato, T Yamada, N Ichikawa, Y Okamoto
US Patent App. 16/753,291, 2021
On the importance of agility, transparency, and positive reinforcement in cyber incident crisis communication
T Aoyama, A Sato, G Lisi, K Watanabe
Critical Information Infrastructures Security: 14th International Conference …, 2020
Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions
A Takai, Q Fu, Y Doibata, G Lisi, T Tsuchiya, K Mojtahedi, T Yoshioka, ...
Scientific reports 13 (1), 3476, 2023
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