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Peggy Seriès, Ph.D

Affiliations: 
2006- Informatics University of Edinburgh, Edinburgh, Scotland, United Kingdom 
Area:
computational psychiatry
Website:
http://homepages.inf.ed.ac.uk/pseries/
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"Peggy Seriès"
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Parents

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Yves Fregnac grad student 1998-2002 CNRS
Alexandre Pouget post-doc 2002-2004 Rochester
Peter Latham post-doc 2004-2006 Gatsby Computational Neuroscience Unit
Eero P. Simoncelli post-doc 2006-2007 NYU

Children

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Bharath Chandra Talluri research assistant 2013-2014 Edinburgh
Matthew Chalk grad student 2008-2012 Edinburgh
Matteo Colombo grad student 2008-2012 Edinburgh
David Reichert grad student 2008-2012 Edinburgh
Vincent Valton grad student 2009-2014 Edinburgh
Grigorios Sotiropoulos grad student 2010-2014 Edinburgh
Stuart Yarrow grad student 2010-2014 Edinburgh
Nikos Gekas grad student 2011-2015 Edinburgh
Aleks Stolicyn grad student 2013-2017 Edinburgh
Frank Povilas Karvelis grad student 2016-2020 Edinburgh
Samuel Rupprechter grad student 2016-2020 Edinburgh

Collaborators

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frederic chavane collaborator Edinburgh
Quentin Huys collaborator Edinburgh
Aaron R. Seitz collaborator Edinburgh
Laurent Perrinet collaborator 1990- Edinburgh
BETA: Related publications

Publications

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Neville V, Mendl M, Paul ES, et al. (2023) A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals. Cognitive, Affective & Behavioral Neuroscience
Chrysaitis NA, Jardri R, Denève S, et al. (2021) No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology. 17: e1009006
Stolicyn A, Steele JD, Seriès P. (2020) Prediction of depression symptoms in individual subjects with face and eye movement tracking. Psychological Medicine. 1-9
Rupprechter S, Romaniuk L, Series P, et al. (2020) Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression. Brain : a Journal of Neurology
Valton V, Karvelis P, Richards KL, et al. (2019) Acquisition of visual priors and induced hallucinations in chronic schizophrenia. Brain : a Journal of Neurology
Rupprechter S, Stankevicius A, Huys QJM, et al. (2018) Major Depression Impairs the Use of Reward Values for Decision-Making. Scientific Reports. 8: 13798
Karvelis P, Seitz AR, Lawrie SM, et al. (2018) Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration. Elife. 7
Sotiropoulos G, Seitz AR, Seriès P. (2018) Performance-monitoring integrated reweighting model of perceptual learning. Vision Research
Cohen Hoffing R, Karvelis P, Rupprechter S, et al. (2018) The Influence of Feedback on Task-Switching Performance: A Drift Diffusion Modeling Account. Frontiers in Integrative Neuroscience. 12: 1
Valton V, Romaniuk L, Steele D, et al. (2017) Comprehensive review: Computational modelling of Schizophrenia. Neuroscience and Biobehavioral Reviews
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