Follow
Vincenzo G. Fiore
Vincenzo G. Fiore
Department of Psychiatry, Icahn School of Medicine at Mount Sinai
Verified email at mssm.edu - Homepage
Title
Cited by
Cited by
Year
Computational psychiatry of ADHD: neural gain impairments across Marrian levels of analysis
TU Hauser, VG Fiore, M Moutoussis, RJ Dolan
Trends in neurosciences 39 (2), 63-73, 2016
1382016
Evolutionarily conserved mechanisms for the selection and maintenance of behavioural activity
VG Fiore, RJ Dolan, NJ Strausfeld, F Hirth
Philosophical Transactions of the Royal Society B: Biological Sciences 370 …, 2015
712015
Intrinsically motivated action–outcome learning and goal-based action recall: a system-level bio-constrained computational model
G Baldassarre, F Mannella, VG Fiore, P Redgrave, K Gurney, M Mirolli
Neural Networks 41, 168-187, 2013
692013
Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot
VG Fiore, V Sperati, F Mannella, M Mirolli, K Gurney, K Friston, RJ Dolan, ...
492014
Emotional adaptation during a crisis: decline in anxiety and depression after the initial weeks of COVID-19 in the United States
A Shuster, M O’Brien, Y Luo, LA Berner, O Perl, M Heflin, K Kulkarni, ...
Translational psychiatry 11 (1), 435, 2021
382021
Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality
D Ognibene, VG Fiore, X Gu
Neural Networks 116, 269-278, 2019
372019
Humans use forward thinking to exploit social controllability
S Na, D Chung, A Hula, O Perl, J Jung, M Heflin, S Blackmore, VG Fiore, ...
elife 10, e64983, 2021
29*2021
Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability
VG Fiore, F Mannella, M Mirolli, EC Latagliata, A Valzania, S Cabib, ...
Brain Structure and Function 220, 1339-1353, 2015
292015
Containment of COVID-19: Simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation
VG Fiore, N DeFelice, BS Glicksberg, O Perl, A Shuster, K Kulkarni, ...
PLoS One 16 (3), e0247614, 2021
26*2021
In silico Interrogation of Insect Central Complex Suggests Computational Roles for the Ellipsoid Body in Spatial Navigation
VG Fiore, B Kottler, X Gu, F Hirth
Frontiers in behavioral neuroscience 11, 142, 2017
222017
Changing pattern in the basal ganglia: motor switching under reduced dopaminergic drive
VG Fiore, F Rigoli, MP Stenner, T Zaehle, F Hirth, HJ Heinze, RJ Dolan
Scientific Reports 23 (6), 23327, 2016
202016
Value encoding in the globus pallidus: fMRI reveals an interaction effect between reward and dopamine drive
VG Fiore, T Nolte, F Rigoli, P Smittenaar, X Gu, RJ Dolan
Neuroimage 173, 249-257, 2018
162018
Computational models of behavioral addictions: State of the art and future directions
A Kato, K Shimomura, D Ognibene, MA Parvaz, LA Berner, K Morita, ...
Addictive behaviors 140, 107595, 2023
152023
An interpretable and predictive connectivity-based neural signature for chronic cannabis use
KR Kulkarni, M Schafer, LA Berner, VG Fiore, M Heflin, K Hutchison, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 8 (3), 320-330, 2023
15*2023
Computational mechanisms underlying illusion of control in delusional individuals
S Na, S Blackmore, D Chung, M O'Brien, SM Banker, M Heflin, VG Fiore, ...
Schizophrenia research 245, 50-58, 2022
152022
An insula‐driven network computes decision uncertainty and promotes abstinence in chronic cocaine users
JC Yu, VG Fiore, RW Briggs, J Braud, K Rubia, B Adinoff, X Gu
European Journal of Neuroscience 52 (12), 4923-4936, 2020
132020
A lineage-related reciprocal inhibition circuitry for sensory-motor action selection
B Kottler, VG Fiore, ZN Ludlow, E Buhl, G Vinatier, R Faville, DC Diaper, ...
BioRxiv, 100420, 2017
112017
Towards a neurocomputational account of social controllability: From models to mental health
S Na, SA Rhoads, NC Alessandra, VG Fiore, X Gu
Neuroscience & Biobehavioral Reviews 148, 105139, 2023
102023
A multilevel computational characterization of endophenotypes in addiction
VG Fiore, D Ognibene, B Adinoff, X Gu
eneuro 5 (4), 2018
82018
The “mechatronic board”: A tool to study intrinsic motivations in humans, monkeys, and humanoid robots
F Taffoni, D Formica, G Schiavone, M Scorcia, A Tomassetti, ...
Intrinsically motivated learning in natural and artificial systems, 411-432, 2013
82013
The system can't perform the operation now. Try again later.
Articles 1–20