Michael Moutoussis
Michael Moutoussis
Clinical lecturer, Department of Imaging Neuroscience, UCL
Verified email at - Homepage
Cited by
Cited by
Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome
KJ Whitaker, PE Vértes, R Romero-Garcia, F Váša, M Moutoussis, ...
Proceedings of the National Academy of Sciences 113 (32), 9105-9110, 2016
Developmental cognitive neuroscience using latent change score models: A tutorial and applications
RA Kievit, AM Brandmaier, G Ziegler, AL van Harmelen, SMM de Mooij, ...
Developmental cognitive neuroscience 33, 99-117, 2018
The anatomy of choice: active inference and agency
K Friston, P Schwartenbeck, T FitzGerald, M Moutoussis, T Behrens, ...
Frontiers in human neuroscience 7, 598, 2013
The anatomy of choice: dopamine and decision-making
K Friston, P Schwartenbeck, T FitzGerald, M Moutoussis, T Behrens, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014
Bayesian inferences about the self (and others): A review
M Moutoussis, P Fearon, W El-Deredy, RJ Dolan, KJ Friston
Consciousness and cognition 25, 67-76, 2014
Learning-induced plasticity in medial prefrontal cortex predicts preference malleability
MM Garvert, M Moutoussis, Z Kurth-Nelson, TEJ Behrens, RJ Dolan
Neuron 85 (2), 418-428, 2015
Association of neural and emotional impacts of reward prediction errors with major depression
RB Rutledge, M Moutoussis, P Smittenaar, P Zeidman, T Taylor, ...
JAMA psychiatry 74 (8), 790-797, 2017
Bayesian modelling of Jumping-to-Conclusions bias in delusional patients
M Moutoussis, RP Bentall, W El-Deredy, P Dayan
Cognitive neuropsychiatry 16 (5), 422-447, 2011
Neural and computational processes underlying dynamic changes in self-esteem
GJ Will, RB Rutledge, M Moutoussis, RJ Dolan
elife 6, e28098, 2017
Are computational models of any use to psychiatry?
QJM Huys, M Moutoussis, J Williams
Neural Networks 24 (6), 544-551, 2011
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
Persecutory delusions and the conditioned avoidance paradigm: towards an integration of the psychology and biology of paranoia
M Moutoussis, J Williams, P Dayan, RP Bentall
Cognitive neuropsychiatry 12 (6), 495-510, 2007
Compulsivity and impulsivity traits linked to attenuated developmental frontostriatal myelination trajectories
G Ziegler, TU Hauser, M Moutoussis, ET Bullmore, IM Goodyer, P Fonagy, ...
Nature neuroscience 22 (6), 992-999, 2019
Reflection impulsivity in binge drinking: behavioural and volumetric correlates
P Banca, I Lange, Y Worbe, NA Howell, M Irvine, NA Harrison, ...
Addiction biology 21 (2), 504-515, 2016
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, ...
PLoS computational biology 15 (2), e1006803, 2019
Cohort profile: the NSPN 2400 Cohort: a developmental sample supporting the Wellcome Trust NeuroScience in Psychiatry Network
B Kiddle, B Inkster, G Prabhu, M Moutoussis, KJ Whitaker, ET Bullmore, ...
International journal of epidemiology 47 (1), 18-19g, 2018
Computation in psychotherapy, or how computational psychiatry can aid learning-based psychological therapies
M Moutoussis, N Shahar, TU Hauser, RJ Dolan
Computational Psychiatry (Cambridge, Mass.) 2, 50, 2018
Active inference, evidence accumulation, and the urn task
THB FitzGerald, P Schwartenbeck, M Moutoussis, RJ Dolan, K Friston
Neural computation 27 (2), 306-328, 2015
A temporal difference account of avoidance learning
M Moutoussis, RP Bentall, J Williams, P Dayan
Network: Computation in Neural Systems 19 (2), 137-160, 2008
Noradrenaline blockade specifically enhances metacognitive performance
TU Hauser, M Allen, N Purg, M Moutoussis, G Rees, RJ Dolan
Elife 6, e24901, 2017
The system can't perform the operation now. Try again later.
Articles 1–20