Publications – Chris Mathys

Iglesias, S., Kasper, L., Harrison, S. J., Manka, R., Mathys, C., & Stephan, K. E. (2021). Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage, 226, 117590. https://doi.org/10.1016/j.neuroimage.2020.117590

Erdmann, T., & Mathys, C. (2021). A generative framework for the study of delusions. Schizophrenia Research (in press). https://doi.org/10.1016/j.schres.2020.11.048

Weber, L. A., Diaconescu, A. O., Mathys, C., Schmidt, A., Kometer, M., Vollenweider, F., Stephan, K. E. (2020). Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity. Journal of Neuroscience, 40(29), 5658–5668. https://doi.org/10.1523/JNEUROSCI.3069-19.2020

Reed, E. J., Uddenberg, S., Suthaharan, P., Mathys, C. D., Taylor, J. R., Groman, S. M., Corlett, P. R. (2020). Paranoia as a deficit in non-social belief updating. eLife, 9, e56345. https://doi.org/10.7554/eLife.56345

Mathys, C., & Weber, L. (2020). Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference. In T. Verbelen, P. Lanillos, C. L. Buckley, & C. De Boom (Eds.), Active Inference (pp. 52–58). Springer International Publishing. https://doi.org/10.1007/978-3-030-64919-7_7

Mathys, C. (2020). Playing with free energy. Neuropsychoanalysis, 22(1–2), 81–82. https://doi.org/10.1080/15294145.2021.1878615

Henco, L., Diaconescu, A. O., Lahnakoski, J. M., Brandi, M.-L., Hörmann, S., Hennings, J., Hasan, A., Papazova, I., Strube, W., Bolis, D., Schilbach, L.*, & Mathys, C.* (2020). Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder. PLOS Computational Biology, 16(9), e1008162. https://doi.org/10.1371/journal.pcbi.1008162 (*) Joint last authors.

Henco, L., Brandi, M.-L., Lahnakoski, J. M., Diaconescu, A. O., Mathys, C.*, Schilbach, L.* (2020). Bayesian modelling captures inter-individual differences in social belief computations in the putamen and insula. Cortex, 131, 221–236. https://doi.org/10.1016/j.cortex.2020.02.024. (*) Joint last authors.

Diaconescu, A. O., Wellstein, K. V., Kasper, L., Mathys, C., & Stephan, K. E. (2020). Hierarchical Bayesian models of social inference for probing persecutory delusional ideation. Journal of Abnormal Psychology, 129(6), 556–569. https://doi.org/10.1037/abn0000500

Diaconescu, A. O., Stecy, M., Kasper, L., Burke, C. J., Nagy, Z., Mathys, C., & Tobler, P. N. (2020). Neural arbitration between social and individual learning systems. ELife, 9, e54051. https://doi.org/10.7554/eLife.54051

Deserno, L., Boehme, R., Mathys, C., Katthagen, T., Kaminski, J., Stephan, K. E., Heinz, A., Schlagenhauf, F. (2020). Volatility Estimates Increase Choice Switching and Relate to Prefrontal Activity in Schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(2), 173–183. https://doi.org/10.1016/j.bpsc.2019.10.007

Cole, D. M., Diaconescu, A. O., Pfeiffer, U. J., Brodersen, K. H., Mathys, C. D., Julkowski, D., Ruhrmann, S., Schilbach, L., Tittgemeyer, M., Vogeley, K., Stephan, K. E. (2020). Atypical processing of uncertainty in individuals at risk for psychosis. NeuroImage: Clinical, 26, 102239. https://doi.org/10.1016/j.nicl.2020.102239

Adams, R. A., Moutoussis, M., Nour, M. M., Dahoun, T., Lewis, D., Illingworth, B., Veronese, M., Mathys, C., de Boer, L., Guitart-Masip, M., Friston, K. J., Howes, O. D., Roiser, J. P. (2020). Variability in Action Selection Relates to Striatal Dopamine 2/3 Receptor Availability in Humans: A PET Neuroimaging Study Using Reinforcement Learning and Active Inference Models. Cerebral Cortex, 30(6), 3573–3589. https://doi.org/10.1093/cercor/bhz327

Friston, K. J., Preller, K. H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A., Zeidman, P. (2019). Dynamic causal modelling revisited. NeuroImage, 199, 730–744. https://doi.org/10.1016/j.neuroimage.2017.02.045

Paliwal, S., Mosley, P. E., Breakspear, M., Coyne, T., Silburn, P., Aponte, E., Mathys, C., Stephan, K. E. (2019). Subjective estimates of uncertainty during gambling and impulsivity after subthalamic deep brain stimulation for Parkinson’s disease. Scientific Reports 9:14795, 1-16. https://doi.org/10.1038/s41598-019-51164-2

Siegel, J.Z., Mathys, C., Rutledge, R.B., Crockett, M.J. (2018). Beliefs about bad people are volatile. Nature Human Behaviour 1. https://doi.org/10.1038/s41562-018-0425-1

Adams, R. A., Napier, G., Roiser, J. P., Mathys, C.*, Gilleen, J.* (2018). Attractor-like Dynamics in Belief Updating in Schizophrenia. Journal of Neuroscience, 38(44), 9471–9485. https://doi.org/10.1523/JNEUROSCI.3163-17.2018. (*) Joint last authors.

Katthagen, T., Mathys, C., Deserno, L., Walter, H., Kathmann, N., Heinz, A., & Schlagenhauf, F. (2018). Modeling subjective relevance in schizophrenia and its relation to aberrant salience. PLOS Computational Biology 14, e1006319. https://doi.org/10.1371/journal.pcbi.1006319

Mirza, M.B., Adams, R.A., Mathys, C., Friston, K.J. (2018). Human visual exploration reduces uncertainty about the sensed world. PLOS ONE 13, e0190429. doi:10.1371/journal.pone.0190429

Rigoli, F., Mathys, C., Friston, K.J., Dolan, R.J. (2017). A unifying Bayesian account of contextual effects in value-based choice. PLOS Computational Biology 13, e1005769. doi:10.1371/journal.pcbi.1005769

Powers, A.R., Mathys, C., Corlett, P.R., 2017. Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors. Science 357(6351), 596–600. doi:10.1126/science.aan3458

Lawson, R.P., Mathys, C., Rees, G. (2017). Adults with autism overestimate the volatility of the sensory environment. Nature Neuroscience 20(9), 1293–1299. doi:10.1038/nn.4615

Diaconescu, A.O., Litvak, V., Mathys, C., Kasper, L., Friston, K.J., Stephan, K.E. (2017). A computational hierarchy in human cortex. arXiv:1709.02323 [q-bio].

Brazil, I. A., Mathys, C. D., Popma, A., Hoppenbrouwers, S. S., Cohn, M. D. (2017). Representational Uncertainty in the Brain During Threat Conditioning and the Link With Psychopathic Traits. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(8), 689–695. https://doi.org/10.1016/j.bpsc.2017.04.005

Diaconescu, A.O., Mathys, C., Weber, L.A.E., Kasper, L., Mauer, J., Stephan, K.E. (2017). Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience, doi:10.1093/scan/nsw171.

Stephan, K.E., Manjaly, Z.M., Mathys, C.D., Weber, L.A.E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S.M., Haker, H., Seth, A.K., Petzschner, F.H. (2016). Allostatic self-efficacy: a metacognitive theory of dyshomeostasis-induced fatigue and depression. Frontiers in Human Neuroscience, 10, 550.

Marshall, L.*, Mathys, C.*, Ruge, D., de Berker, A.O., Dayan, P., Stephan, K.E., Bestmann, S. (2016). Pharmacological fingerprints of contextual uncertainty. PLOS Biology, 14(11), e1002575. (*) Joint first authors.

De Berker, A.O., Rutledge, R.B., Mathys, C., Marshall, L., Cross, G.F., Dolan, R.J., Bestmann, S. (2016). Computations of uncertainty mediate acute stress responses in humans. Nature Communications, 7, 10996.

Mathys, C. (2016). How could we get nosology from computation? in: Redish, A.D., Gordon, J.A. (eds.), Computational Psychiatry: New Perspectives on Mental Illness, Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. MIT Press, Cambridge, MA, pp. 121–135.

Flagel, S.B., Pine, D.S., Ahmari, S.E., First, M.B., Friston, K.J., Mathys, C., Redish, A.D., Schmack, K., Smoller, J.W., Thapar, A. (2016). A novel framework for improving psychiatric diagnostic nosology, in: Redish, A.D., Gordon, J.A. (eds.), Computational Psychiatry: New Perspectives on Mental Illness, Strüngmann Forum Reports, vol. 20, series ed. J. Lupp. MIT Press, Cambridge, MA, pp. 169–199.

Mirza, M.B., Adams, R.A., Mathys, C.D., Friston, K.J. (2016). Scene construction, visual foraging, and active inference. Frontiers in Computational Neuroscience, 10, 56.

Schwartenbeck, P., FitzGerald, T.H.B., Mathys, C., Dolan, R., Kronbichler, M., Friston, K. (2015). Evidence for surprise minimization over value maximization in choice behavior. Scientific Reports 5, 16575.

Vossel, S., Mathys, C., Stephan, K. E., & Friston, K. J. (2015). Cortical Coupling Reflects Bayesian Belief Updating in the Deployment of Spatial Attention. The Journal of Neuroscience, 35(33), 11532–11542.

Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., & Pezzulo, G. (2015). Active inference and epistemic value. Cognitive Neuroscience 6(4), 187-214. http://dx.doi.org/10.1080/17588928.2015.1020053

Schwartenbeck, P., FitzGerald, T.H.B., Mathys, C., Dolan, R., Friston, K. (2015). The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes. Cerebral Cortex 25(10), 3434–3445. doi:10.1093/cercor/bhu159

Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., Wurst, F., Kronbichler, M., & Friston, K. (2015). Optimal inference with suboptimal models: Addiction and active Bayesian inference. Medical Hypotheses, 84(2), 109–117.

Mathys, C. D., Lomakina, E. I., Daunizeau, J., Iglesias, S., Brodersen, K. H., Friston, K. J., & Stephan, K. E. (2014). Uncertainty in perception and the Hierarchical Gaussian Filter. Frontiers in Human Neuroscience, 8, 825.

Stephan, K. E., & Mathys, C. (2014). Computational approaches to psychiatry. Current Opinion in Neurobiology, 25, 85–92.

Diaconescu, A. O., Mathys, C., Weber, L. A. E., Daunizeau, J., Kasper, L., Lomakina, E. I., … Stephan, K. E. (2014). Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Comput Biol, 10(9), e1003810.

Hauser TU, Iannaccone R, Ball J, & et al. (2014). Role of the medial prefrontal cortex in impaired decision making in juvenile attention-deficit/hyperactivity disorder. JAMA Psychiatry, 71(10), 1165–1173.

Vossel, S., Bauer, M., Mathys, C., Adams, R. A., Dolan, R. J., Stephan, K. E., & Friston, K. J. (2014). Cholinergic Stimulation Enhances Bayesian Belief Updating in the Deployment of Spatial Attention. The Journal of Neuroscience, 34(47), 15735–15742.

Vossel, S.*, Mathys, C.*, Daunizeau, J., Bauer, M., Driver, J., Friston, K. J., & Stephan, K. E. (2014). Spatial Attention, Precision, and Bayesian Inference: A Study of Saccadic Response Speed. Cerebral Cortex, 24(6), 1436–1450. (*) Joint first authors.

Iglesias, S., Mathys, C., Brodersen, K. H., Kasper, L., Piccirelli, M., den Ouden, H. E. M., & Stephan, K. E. (2013). Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning. Neuron, 80(2), 519–530.

Brodersen, K. H., Daunizeau, J., Mathys, C., Chumbley, J. R., Buhmann, J. M., & Stephan, K. E. (2013). Variational Bayesian mixed-effects inference for classification studies. NeuroImage, 76, 345–361.

Mathys, C. (2012). Hierarchical Gaussian filtering. ETH Zurich doctoral dissertation no. 20909. http://dx.doi.org/10.3929/ethz-a-007595146

Brodersen, K. H., Mathys, C., Chumbley, J. R., Daunizeau, J., Ong, C. S., Buhmann, J. M., & Stephan, K. E. (2012). Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets. Journal of Machine Learning Research, 13, 3133−3176.

Mathys, C., Daunizeau, J., Friston, K. J., & Stephan, K. E. (2011). A Bayesian foundation for individual learning under uncertainty. Frontiers in Human Neuroscience, 5, 39.

Mathys, C., Loui, P., Zheng, X., & Schlaug, G. (2010). Non-Invasive Brain Stimulation Applied to Heschl’s Gyrus Modulates Pitch Discrimination. Frontiers in Psychology, 1, 193.

Loui, P., Guenther, F. H., Mathys, C., & Schlaug, G. (2008). Action-perception mismatch in tone-deafness. Current Biology, 18(8), R331–R332.