A selection of my publications

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. doi:10.1016/j.bpsc.2017.04.005

 

Friston, K.J., Preller, K.H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A., Zeidman, P. (2017). Dynamic causal modelling revisited. NeuroImage, doi:10.1016/j.neuroimage.2017.02.045.

 

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.

 

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.

 

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.