Mehdi Keramati
Mehdi Keramati
MaxPlanck Centre for Computational Psychiatry, UCL
Verified email at gatsby.ucl.ac.uk
TitleCited byYear
Speed/accuracy trade-off between the habitual and the goal-directed processes
M Keramati, A Dezfouli, P Piray
PLoS computational biology 7 (5), e1002055, 2011
2312011
Adaptive integration of habits into depth-limited planning defines a habitual-goal–directed spectrum
M Keramati, P Smittenaar, RJ Dolan, P Dayan
Proceedings of the National Academy of Sciences 113 (45), 12868-12873, 2016
712016
The idiosyncratic nature of confidence
J Navajas, C Hindocha, H Foda, M Keramati, PE Latham, B Bahrami
Nature Human Behavior 1 (11), 810-818, 2017
512017
Midbrain Dopamine Neurons Signal Belief in Choice Accuracy during a Perceptual Decision
A Lak, K Nomoto, M Keramati, M Sakagami, A Kepec
Current Biology, 2017
482017
Homeostatic reinforcement learning for integrating reward collection and physiological stability
M Keramati, B Gutkin
Elife 3, e04811, 2014
422014
A neurocomputational model for cocaine addiction
A Dezfouli, P Piray, MM Keramati, H Ekhtiari, C Lucas, A Mokri
Neural computation 21 (10), 2869-2893, 2009
402009
Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach
P Piray, MM Keramati, A Dezfouli, C Lucas, A Mokri
Neural computation 22 (9), 2334-2368, 2010
312010
Imbalanced decision hierarchy in addicts emerging from drug-hijacked dopamine spiraling circuit
M Keramati, B Gutkin
PloS one 8 (4), e61489, 2013
302013
A reinforcement learning theory for homeostatic regulation
M Keramati, BS Gutkin
Advances in neural information processing systems, 82-90, 2011
262011
Cocaine Addiction as a Homeostatic Reinforcement Learning Disorder
M Keramati, A Durand, P Girardeau, B Gutkin, A Serge
Psychological Review 125, 2017
132017
Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling
N Shahar, TU Hauser, M Moutoussis, R Moran, M Keramati, RJ Dolan
PLoS computational biology 15 (2), e1006803, 2019
82019
Misdeed of the need: towards computational accounts of transition to addiction
M Keramati, S Ahmed, B Gutkin
Current Opinion in Neurobiology 46, 142–153, 2017
52017
Flexibility to contingency changes distinguishes habitual and goal-directed strategies in humans
J Lee, M Keramati
PLoS computational biology 13 (9), 2017
42017
Understanding addiction as a pathological state of multiple decision making processes: a neurocomputational perspective
M Keramati, A Dezfouli, P Piray
Computational neuroscience of drug addiction, 205-233, 2012
32012
Successful cooperation between heterogeneous fuzzy Q-learning agents
AA Bitaghsir, A Moghimi, M Lesani, MM Keramati, MN Ahmadabadi, ...
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat …, 2004
32004
Optimizing the depth and the direction of prospective planning using information values
CE Sezener, A Dezfouli, M Keramati
PLoS computational biology 15 (3), e1006827, 2019
22019
Retrospective model-based inference guides model-free credit assignment
R Moran, M Keramati, P Dayan, RJ Dolan
Nature communications 10 (1), 750, 2019
22019
Analysis of decision-making processes in drug-abusers before and after maintenance treatment with methadone
H Ekhtiari, A Khodadadi, MM Keramati, A Dezfouli, H Safaie
Advances in Cognitive Science 12 (1), 26-42, 2010
22010
Understanding Addictive Behavior on the Iowa Gambling Task Using Reinforcement Learning Framework
AK Dezfuli, MM Keramati, H Ekhtiari, H Safaei, C Lucas
30th Annual Conference of the Cognitive Science Society, 1094-1099, 2007
22007
Behavioural signatures of backward planning in animals
A Afsardeir, M Keramati
European Journal of Neuroscience 47 (5), 479-487, 2018
12018
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Articles 1–20