Aurelio Cortese
Aurelio Cortese
Computational Neuroscience Labs, ATR, Kyoto, Japan
Verified email at
Cited by
Cited by
Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance
A Cortese, K Amano, A Koizumi, M Kawato, H Lau
Nature communications 7 (1), 13669, 2016
Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure
A Koizumi, K Amano, A Cortese, K Shibata, W Yoshida, B Seymour, ...
Nature human behaviour 1 (1), 0006, 2016
Towards an unconscious neural reinforcement intervention for common fears
V Taschereau-Dumouchel, A Cortese, T Chiba, JD Knotts, M Kawato, ...
Proceedings of the National Academy of Sciences 115 (13), 3470-3475, 2018
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
Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants
A Cortese, K Amano, A Koizumi, H Lau, M Kawato
NeuroImage 149, 323-337, 2017
Unconscious reinforcement learning of hidden brain states supported by confidence
A Cortese, H Lau, M Kawato
Nature communications 11 (1), 4429, 2020
The neural and cognitive architecture for learning from a small sample
A Cortese, B De Martino, M Kawato
Current opinion in neurobiology 55, 133-141, 2019
Goals, usefulness and abstraction in value-based choice
B De Martino, A Cortese
Trends in Cognitive Sciences 27 (1), 65-80, 2023
Conducting decoded neurofeedback studies
V Taschereau-Dumouchel, A Cortese, H Lau, M Kawato
Social Cognitive and Affective Neuroscience 16 (8), 838-848, 2021
Value signals guide abstraction during learning
A Cortese, A Yamamoto, M Hashemzadeh, P Sepulveda, M Kawato, ...
Elife 10, e68943, 2021
Metacognitive resources for adaptive learning⋆
A Cortese
Neuroscience Research 178, 10-19, 2022
From internal models toward metacognitive AI
M Kawato, A Cortese
Biological cybernetics 115 (5), 415-430, 2021
Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one year later: a longitudinal online survey of the Japanese …
T Oka, T Kubo, N Kobayashi, F Nakai, Y Miyake, T Hamamura, M Honjo, ...
Translational Psychiatry 11 (1), 573, 2021
Generalized attention-weighted reinforcement learning
L Bramlage, A Cortese
Neural Networks 145, 10-21, 2022
The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments
A Cortese, SC Tanaka, K Amano, A Koizumi, H Lau, Y Sasaki, K Shibata, ...
Scientific data 8 (1), 65, 2021
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
The Arctic/Swedish APP mutation alters the impact of chronic stress on cognition in mice
A Cortese, R Delgado‐Morales, OFX Almeida, C Romberg
European Journal of Neuroscience 50 (5), 2773-2785, 2019
Event-related PTSD symptoms as a high-risk factor for suicide: longitudinal observational study
T Chiba, K Ide, M Murakami, N Kobayashi, T Oka, F Nakai, R Yorizawa, ...
Nature Mental Health 1 (12), 1013-1022, 2023
Interventions and implications
J Brewer, H de Wit, A Cortese, D Denys, CA Hanlon, EA Holmes, ...
Intrusive Thinking: From Molecules to Free Will (2020) 347, 2021
Multivoxel patterns for perceptual confidence are associated with false color detection
JD Knotts, A Cortese, V Tascherau-Dumouchel, M Kawato, H Lau
bioRxiv, 735084, 2019
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