| Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020 | 1071 | 2020 |
| A reinforcement learning diffusion decision model for value-based decisions L Fontanesi, S Gluth, MS Spektor, J Rieskamp Psychonomic bulletin & review 26 (4), 1099-1121, 2019 | 207 | 2019 |
| How similarity between choice options affects decisions from experience: The accentuation-of-differences model. MS Spektor, S Gluth, L Fontanesi, J Rieskamp Psychological review 126 (1), 52, 2019 | 65 | 2019 |
| Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: a meta-analytical approach using diffusion decision … L Fontanesi, S Palminteri, M Lebreton Cognitive, Affective, & Behavioral Neuroscience 19, 490-502, 2019 | 63 | 2019 |
| A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data AC Trutti, L Fontanesi, MJ Mulder, PL Bazin, B Hommel, BU Forstmann Brain Structure and Function 226 (4), 1155-1167, 2021 | 41 | 2021 |
| Striatal activation reflects urgency in perceptual decision making L Van Maanen, L Fontanesi, GE Hawkins, BU Forstmann NeuroImage 139, 294-303, 2016 | 41 | 2016 |
| Wiring the altruistic brain S Gluth, L Fontanesi Science 351 (6277), 1028-1029, 2016 | 21 | 2016 |
| Response time models separate single-and dual-process accounts of memory-based decisions PM Kraemer, L Fontanesi, MS Spektor, S Gluth Psychonomic bulletin & review 28, 304-323, 2021 | 6 | 2021 |
| A robust bayesian test for identifying context effects in multiattribute decision-making D Katsimpokis, L Fontanesi, J Rieskamp Psychonomic Bulletin & Review 30 (2), 498-515, 2023 | 5 | 2023 |
| Disentangling choice value and choice conflict in sequential decisions under risk L Fontanesi, A Shenhav, S Gluth PLoS Computational Biology 18 (10), e1010478, 2022 | 5 | 2022 |
| Beyond discrete-choice options AHH Rasanan, NJ Evans, L Fontanesi, C Manning, C Huang-Pollock, ... Trends in Cognitive Sciences, 2024 | 3 | 2024 |
| Variability in the analysis of a single neuroimaging dataset by many teams (Preprint) R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... | 2 | 2020 |
| Neural bases of financial decision making: from spikes to large-scale brain connectivity PM Kraemer, RA Weilbächer, L Fontanesi, S Gluth Psychological Perspectives on Financial Decision Making, 3-19, 2020 | 2 | 2020 |
| The role of dopaminergic nuclei in predicting and experiencing gains and losses: a 7T human fMRI study L Fontanesi, S Gluth, J Rieskamp, BU Forstmann BioRxiv, 732560, 2019 | 2 | 2019 |
| Cognitive Modeling in Neuroeconomics S Gluth, L Fontanesi An Introduction to Model-Based Cognitive Neuroscience, 327-359, 2023 | 1 | 2023 |
| Radial basis leaky competing accumulator model: A biologically plausible framework for decision-making in a continuous option space AH Hadian Rasanan, J Amani Rad, L Fontanesi Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 1 | 2022 |
| Insights into reward-based decisions using computational models and ultra-high field MRI L Fontanesi University_of_Basel, 2019 | | 2019 |
| Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision … S Palminteri, L Fontanesi, M Lebreton OSF, 0 | | |
Sebastian GluthDepartment of Psychology, University of HamburgEmail yang diverifikasi di uni-hamburg.de