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  • Computational Psychiatry: A Primer, MIT Press. 2020

  • The first accessible textbook for this new emerging field, with contributed chapters from the leaders in current research.

    [Link on Amazon.co.uk]


    An updated list of my publications can also be found on my google scholar page.

  • P. Seriès (2021), The ‘circular inference’model of schizophrenia gets pulled into the orbit of social cognition , Brain, 2021 (invited commentary). ay 13:awab126. doi: 10.1093/brain/awab126. (Invited Commentary)

  • N.A Chrysaitis, R Jardri, S Denève, P Seriès (2021). No increased circular inference in autism or autistic traits , 2021, PLoS Computational Biology.

  • R. Paredes, F. Ferri, P. Seriès (2021). Influence of E/I balance and pruning in peri-personal space differences in schizophrenia: a computational approach . Schizophrenia Research.

  • J.P. Noel, R Paredes, E Terrebonne, JI Feldman, T Woynaroski, CJ Cascio, P. Seriès, M. Wallace (2021). Inflexible Updating of the Self-Other Divide During a Social Context in Autism; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence . Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2, 2021. Doi:10.1016/j.bpsc.2021.03.013.

  • A. Stolicyn, J.D. Steele and P.Series, Prediction of depression symptoms in individual subjects with face and eye movement tracking (2020), Psychological Medicine, Nov 9; 1-9 .

  • K. Richards, P. Karvelis, S. Lawrie and P. Series, Visual statistical learning and integration of perceptual priors are intact in ADHD (2020) , Plos One.

  • S. Rupprechter, A. Stankeviciu, Q.J.M. Huys, P. Series, J.D. Steele (2020). Abnormal Reward Valuation and Event-Related Connectivity in Unmedicated Major Depressive Disorder , Psychological Medicine.

  • P. Series (2019). PTSD as a disorder of prediction Nature Neuroscience, News and Views. 22:329336.

  • V. Valton, P. Karvelis, K. L. Richards, A. R. Seitz, S. Lawrie and P. Series (2019). Acquisition of visual priors and induced hallucinations in chronic schizophrenia. Brain, 142:8, 2523-2537.

  • P. Series (2018). Neurons that update representations of the future, Trends in Cognitive Science (Spotlight Article), 22:8, 671-673.

  • P. Karvelis, A. Seitz, S. Lawrie and P. Series (2018). Autistic traits, but not schizotypy, predict overweighting of sensory information in Bayesian visual integration, eLife, 7:e34115.

  • S. Rupprechter, A. Stankevicius, Q. Huys, J.D. Steele, P.Series (2018). Major depression impairs the use of reward values for decision-making in major depression . Scientific Reports, 13798.

  • G. Sotiropoulos. A. Seitz and P. Series (2018). Performance monitoring integrated reweighting model of perceptual learning. Vision Research. 152:17-39.

  • R. A. Cohen Hoffing, Karvelis, S. Rupprechter, P. Series and A. R. Seitz (2018). The influence of feedback on task-switching performance: a drift diffusion modeling account. Frontiers in Integrative Neuroscience, in press.

  • V. Valton, L. Romaniuk, D. Steele, S. Lawrie and P. Seriès (2017). Comprehensive Review: Computational Modelling of Schizophrenia. Neuroscience and Biobehavioural Reviews. 83: 631-646.

  • J. Raymond, J. D. Steele and P.Seriès (2017), Modeling trait anxiety: from computational processes to personality , Frontiers in Psychiatry.

  • A. Stolicyn, J.D. Steele and P.Seriès (2016) Conditioned task-set competition: Neural mechanisms of emotional interference in depression, Cogn Affect Behav Neurosci .
    [Won the 2017 CABN Best Article Award !].

  • P. Seriès (2016). Le cerveau est-il une machine bayésienne? book chapter (Bayésianisme, Ed: Isabelle Drouet). (in French)

  • B. Chandra-Talluri, S. Hung, A.R. Seitz and P. Seriès (2015), Confidence-based integrated reweighting model of task-difficulty explains location-based specificity in perceptual learning . Journal of Vision 15(10):17, 1-12.

  • B.M Tijms, E. Sprooten, D. Job, E.C. Johnstone, D.G.C Owens, D. Willshaw, P. Seriès, P. & S. Lawrie, (2015) Grey matter networks in people at increased familial risk for schizophrenia. Schizophrenia Research. 168, 1-2, p. 1-88.

  • N. Gekas, A.R. Seitz, P. Seriès (2015). Expectations developed over multiple timescales facilitate visual search performance . Journal of Vision 07/2015; 15(9):10. DOI:10.1167/15.9.10.

  • G. Sotiropoulos and P. Seriès (2015) (book chapter), Probabilistic inference and Bayesian Priors in visual perception . Biologically-Inspired computer vision. Ed: G. Cristobal, L. Perrinet and M. Keil, Wiley-VCH, in press.

  • M. Colombo, A. Stankevicius, P. Seriès (2014), Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game Frontiers in Psychology 10/2014; 5:1154.

  • P Seriès and M. Sprevak (2014), From Intelligent Machines to the Human Brain. Philosophy and the Sciences for Everyone, Ed. M. Massimi, Routledge. (book chapter)

  • Q. J. M. Huys, A. Cruickshank, P. Seriès (2014). Reward-Based Learning, Model-Based and Model-Free. Encyclopedia of Computational Neuroscience, 01/2014: pages 1-10; , ISBN: 978-1-4614-7320-6

  • A. Stankevicius*, Q. Huys*, A. Kalra and P. Seriès (2014). Optimism as a prior on the likelihood of future reward PLOS Computational Biology.

  • S. Yarrow and P. Seriès (2014).Detecting and Quantifying Topography in Neural Maps. PLoS One. 9(2):e87178.

  • G. Sotiropoulos, A.R. Seitz and P. Seriès (2014). Contrast dependency and prior expectations in human speed perception. Vision Research.

  • 2013.

  • M. Rivalan, V. Valton, P. Seriès, A. Marchand and F. Dellu-hagedorn (2013). Elucidating poor decision making in a rat gambling task. PLoS One. 8(12): e82052.

  • P. Seriès and A. Seitz (2013). Learning what to expect (in visual perception). Frontiers in Human Neuroscience. 7: 668. (review article).

  • M. Chalk, I. Murray, P. Seriès (2013). Attention as Reward-Driven Optimization of Sensory Processing . Neural Computation.15:11, 2904-2933. Supplementary info.

  • D. Reichert, P. Seriès and Amos Storkey (2013). Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex? PLOS Computational Biology. 9(7):e1003134.

  • N. Gekas, M. Chalk, A. Seitz, P. Seriès (2013). Complexity and Specificity of experimentally induced expectations in motion perception. Journal of Vision. 13(4).

  • 2012.

  • A.L. Paradis,S. Morel, P. Seriès, J. Lorenceau (2012). Speeding up the brain: when spatial facilitation translates into latency shortening. Front Hum Neurosci. 6:330.

  • S. Yarrow, E. Challis and P. Seriès (2012). Fisher and Shannon information in finite neural populations. Neural Computation.24(7):1740-80.

  • 2011.

  • G. Sotiropoulos, A. Seitz and P. Seriès (2011). Changing expectations about speed alters perceived motion direction. Current Biology.8; 21(21) - R 883-4. -- Supplemental Information -- Movie of Stimulus.
  • D. Reichert, P. Seriès and A. Storkey (2011). Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability, Advances in Neural Information Processing Systems 24. To appear.

  • B. Tijms, P. Seriès, D. Willshaw, and S. Lawrie (2011), Extracting Networks from individual grey matter MRI . Cerebral Cortex .21(12).

  • Cortes JM, Marinazzo D, Series P, Oram MW, Sejnowski TJ, van Rossum MC (2011), The effect of neural adaptation on population coding accuracy. Journal of Computational Neurosicence . 21(12).

  • C. Zhao, P. Seriès, P. Hancock, and J. Bednar (2011), Similar neural adaptation mechanisms underlying face gender and tilt aftereffects. Vision Research. 51(18):2021-30 .
  • M. Colombo and P. Seriès (2011), Bayes in the Brain -- On Bayesian Modelling in Neuroscience. British Journal for the Philosophy of Science. to appear. Preprint.
  • G. Sotiropoulos, A. R. Seitz and P. Seriès (2011), Perceptual learning in visual hyperacuity: a reweighting model. Vision Research 51(6): 585-99.

  • D. Reichert, P. Seriès and A. Storkey (2011), A hierarchical generative model of recurrent object-based attention in the visual cortex. Proceedings of ICANN'11.

  • 2010.

  • D. Reichert, P. Seriès and A. Storkey (2010), Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model. Advances in Neural Information Processing Systems 23.

  • M. Chalk*, A. R. Seitz* and P. Seriès (2010), Rapidly learned stimulus expectations alter perception of motion.Journal of Vision 10(8), Article 2 . Suppl info.
    (* co-first authors).
  • 2009 and before.

  • P. Seriès, A. Stocker and E.P. Simoncelli (2009), Is the homunculus aware of sensory adaptation? Neural Computation 21(12), pp 3271-3304

  • A. Banerjee, P. Seriès, A. Pouget (2008). Dynamical constraints on using precise spike timing to compute in recurrent cortical networks. Neural Computation, 20(4):974-93.

  • J. Lorenceau, A. Giersch, P. Seriès (2005), Dynamics of competition between contour integration and contour segmentation. Vision Research, 45(1): 103--116.
  • P. Seriès, P. Latham and A. Pouget (2004), Tuning Curve Sharpening for orientation selectivity: coding efficiency and the impact of correlations, Nature Neuroscience, 7, pp 1129-1135,
    Supplementary Information
    Abstract and Full text online (Nature Neuroscience website)
  • P. Seriès, J. Lorenceau and Y. Fregnac (2003), The silent surround of V1 receptive fields: theory and experiments, J Physiol Paris, 97(4-6): 453-74. abstract and full text online -

  • P. Seriès, S. Georges, J. Lorenceau and Y. Fregnac, Orientation dependent modulation of apparent speed: a model based on the dynamics of feed-forward and horizontal connectivity in V1 cortex, Vision Research, 42:25, 2781-2797, 2003.

  • S. Georges, P. Seriès, Y. Fregnac and J. Lorenceau, Orientation dependent modulation of apparent speed: psychophysical evidence, Vision Research, 42:26, 2757-2771, 2003.

  • P. Seriès, S. Georges, J. Lorenceau and Y. Frègnac, A network view of the structure of center/surround modulations of V1 receptive field properties in visual and cortical spaces, Neurocomputing, .38-40, 881-888, 2001.

  • P. Seriès and P. Tarroux (1999), Synchrony and delay activity in cortical column models, Neurocomputing, 26-27:505-510.

  • PhD Thesis