Aurelio Cortese

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Mitsuo KawatoATRVerified email at atr.jp
Hakwan LauRIKEN Center for Brain Science, JapanVerified email at riken.jp
Vincent Taschereau-DumouchelDepartment of Psychiatry and addiction, Université de MontréalVerified email at umontreal.ca
Kaoru AmanoGraduate School of Information Science and Technology, The University of TokyoVerified email at ipc.i.u-tokyo.ac.jp
Toshinori ChibaATRVerified email at atr.jp
JD KnottsUCLAVerified email at g.ucla.edu
Benedetto De MartinoProfessor of Cognitive Neuroscience, Institute of Cognitive Neuroscience - University College LondonVerified email at ucl.ac.uk
Taiki OkaAdvanced telecommunications research institute internationalVerified email at atr.jp
Giuseppe LisiFormer Computational Neuroscience Labs, ATR, Kyoto, JapanVerified email at atr.jp
Toshitaka HamamuraNational Center of Neurology and PsychiatryVerified email at ncnp.go.jp
Ben SeymourUniversity of OxfordVerified email at ndcn.ox.ac.uk
Wako YoshidaNuffield Department of Clinical Neurosciences, University of OxfordVerified email at ndcn.ox.ac.uk
Takatomi KuboNAISTVerified email at is.naist.jp
Tetsufumi KanazawaProfessor of Osaka Medical and Pharmaceutical University, Honorary Associate Professor of FloreyVerified email at ompu.ac.jp
Hiroyuki Toda防衛医科大大学校Verified email at ndmc.ac.jp
Lennart BramlageResearch Associate, Reutlingen UniversityVerified email at reutlingen-university.de
Pradyumna SepulvedaColumbia UniversityVerified email at columbia.edu
Maryam HashemzadehMontreal Institute of Learning Algorithms (Mila)Verified email at mila.quebec
Shuken BokuAssociate Professor, Department of Neuropsychiatry, Kumamoto University Faculty of Life SciencesVerified email at kuh.kumamoto-u.ac.jp
Fabio PasqualettiProfessor, UC RiversideVerified email at ucr.edu

Aurelio Cortese

Computational Neuroscience Labs, ATR, Kyoto, Japan

Verified email at atr.jp

learning decision making metacognition computational neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	171	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	167	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	156	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	85	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	57	2017
Unconscious reinforcement learning of hidden brain states supported by confidence A Cortese, H Lau, M Kawato Nature communications 11 (1), 4429, 2020	45*	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	39	2019
Goals, usefulness and abstraction in value-based choice B De Martino, A Cortese Trends in Cognitive Sciences 27 (1), 65-80, 2023	34	2023
Conducting decoded neurofeedback studies V Taschereau-Dumouchel, A Cortese, H Lau, M Kawato Social Cognitive and Affective Neuroscience 16 (8), 838-848, 2021	31	2021
Metacognitive resources for adaptive learning⋆ A Cortese Neuroscience Research 178, 10-19, 2022	27	2022
Value signals guide abstraction during learning A Cortese, A Yamamoto, M Hashemzadeh, P Sepulveda, M Kawato, ... Elife 10, e68943, 2021	25*	2021
From internal models toward metacognitive AI M Kawato, A Cortese Biological cybernetics 115 (5), 415-430, 2021	20	2021
Generalized attention-weighted reinforcement learning L Bramlage, A Cortese Neural Networks 145, 10-21, 2022	17*	2022
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	15	2021
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	9	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	7	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	7	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	6*	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	5	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	4	2019

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