Yasumasa Okamoto
According to our database1,
Yasumasa Okamoto
authored at least 10 papers
between 2003 and 2023.
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Bibliography
2023
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
CoRR, 2023
2021
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training.
NeuroImage, 2021
2020
Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2015
Resting state functional connectivity explains individual scores of multiple clinical measures for major depression.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2010
Sadness enhances the experience of pain via neural activation in the anterior cingulate cortex and amygdala: An fMRI study.
NeuroImage, 2010
Neural processing of negative word stimuli concerning body image in patients with eating disorders: An fMRI study.
NeuroImage, 2010
2007
Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241].
Neural Networks, 2007
2006
PLoS Comput. Biol., 2006
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics.
Neural Networks, 2006
2003
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003