City Research Online

Items where Author is "Friston, K. J."

Up a level
Group by: Type | No Grouping
Jump to: Article
Number of items: 24.


Adams, R. A., Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Tsirlis, K. , Unruh, L., Mahajan, A., Horas, A. M., Convertino, L., Summerfelt, A., Sampath, H., Du, X. M., Kochunov, P., Ji, J. L., Repovs, G., Murray, J. D., Friston, K. J., Hong, L. & Anticevic, A. (2022). Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia. Biological Psychiatry, 91(2), pp. 202-215. doi: 10.1016/j.biopsych.2021.07.024

Yang, X. L., Wang, S. J., Xing, Y. L. , Li, Ling ORCID: 0000-0002-4026-0216, Xu, R., Friston, K. J. & Guo, Y. (2022). Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Computational Biology, 18(2), article number e1009807. doi: 10.1371/journal.pcbi.1009807

Rigoli, F. ORCID: 0000-0003-2233-934X, Michely, J., Friston, K. J. & Dolan, R.J. (2019). The role of the hippocampus in weighting expectations during inference under uncertainty. Cortex, 115, pp. 1-14. doi: 10.1016/j.cortex.2019.01.005

Pezzulo, G., Rigoli, F. ORCID: 0000-0003-2233-934X & Friston, K. J. (2018). Hierarchical Active Inference: A Theory of Motivated Control. Trends in Cognitive Sciences, 22(4), pp. 294-306. doi: 10.1016/j.tics.2018.01.009

Rigoli, F. ORCID: 0000-0003-2233-934X, Mathys, C., Friston, K. J. & Dolan, R. J. (2017). A unifying Bayesian account of contextual effects in value-based choice. PLoS Computational Biology, 13(10), article number e1005769. doi: 10.1371/journal.pcbi.1005769

Diez, A., Ranlund, S., Pinotsis, D. A. ORCID: 0000-0002-6865-8103 , Calafato, S., Shaikh, M., Hall, M-H., Walshe, M., Nevado, Á., Friston, K. J., Adams, R. & Bramon, E. (2017). SU72. Abnormal Frontal Synaptic Gain Mediating the P300 in Patients With Psychosis and Their Unaffected Relatives. Schizophrenia Bulletin, 43(suppl_), S187-S187. doi: 10.1093/schbul/sbx024.070

Friston, K. J., FitzGerald, T., Rigoli, F. , Schwartenbeck, P. & Pezzulo, G. (2017). Active Inference: A Process Theory. Neural Computation, 29(1), pp. 1-49. doi: 10.1162/neco_a_00912

Rigoli, F. ORCID: 0000-0003-2233-934X, Pezzulo, G., Dolan, R.J. & Friston, K. J. (2017). A Goal-Directed Bayesian Framework for Categorization. Frontiers in Psychology, 8, article number 408. doi: 10.3389/fpsyg.2017.00408

Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Geerts, J. P., Pinto, L. , FitzGerald, T. H. B., Litvak, V., Auksztulewicz, R. & Friston, K. J. (2016). Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings. Neuroimage, 146, pp. 355-366. doi: 10.1016/j.neuroimage.2016.11.041

Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Loonis, R., Bastos, A. M. , Miller, E. K. & Friston, K. J. (2016). Bayesian Modelling of Induced Responses and Neuronal Rhythms. Brain Topography, 32(4), pp. 569-582. doi: 10.1007/s10548-016-0526-y

Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Perry, G., Litvak, V. , Singh, K. D. & Friston, K. J. (2016). Intersubject variability and induced gamma in the visual cortex: DCM with empirical Bayes and neural fields. Human Brain Mapping, 37(12), pp. 4597-4614. doi: 10.1002/hbm.23331

Friston, K. J., FitzGerald, T., Rigoli, F. , Schwartenbeck, P., O'Doherty, J. & Pezzulo, G. (2016). Active inference and learning. Neuroscience & Biobehavioral Reviews, 68, pp. 862-879. doi: 10.1016/j.neubiorev.2016.06.022

Rigoli, F., Friston, K. J. & Dolan, R.J. (2016). Neural processes mediating contextual influences on human choice behaviour. Nature Communications, 7(1), article number 12416. doi: 10.1038/ncomms12416

Pezzulo, G., Cartoni, E., Rigoli, F. , Pio-Lopez, L. & Friston, K. J. (2016). Active Inference, epistemic value, and vicarious trial and error. Learning & Memory, 23(7), pp. 322-338. doi: 10.1101/lm.041780.116

Rigoli, F., Friston, K. J., Martinelli, C. , Selaković, M., Shergill, S. & Dolan, R.J. (2016). A Bayesian model of context-sensitive value attribution. eLife, 5(JUN201), article number 16127. doi: 10.7554/elife.16127

Adams, R. A., Bauer, M., Pinotsis, D. A. ORCID: 0000-0002-6865-8103 & Friston, K. J. (2016). Dynamic causal modelling of eye movements during pursuit: Confirming precision-encoding in V1 using MEG. Neuroimage, 132, pp. 175-189. doi: 10.1016/j.neuroimage.2016.02.055

Pezzulo, G., Rigoli, F. & Friston, K. J. (2015). Active Inference, homeostatic regulation and adaptive behavioural control. Progress in Neurobiology, 134, pp. 17-35. doi: 10.1016/j.pneurobio.2015.09.001

Ranlund, S., Adams, R. A., Diez, A. , Constante, M., Dutt, A., Hall, M-H., Carbayo, A. M., McDonald, C., Petrella, S., Schulze, K., Shaikh, M., Walshe, M., Friston, K. J., Pinotsis, D. A. ORCID: 0000-0002-6865-8103 & Bramon, E. (2015). Impaired Prefrontal Synaptic Gain in People with Psychosis and Their Relatives during the Mismatch Negativity. Human Brain Mapping, 37(1), pp. 351-365. doi: 10.1002/hbm.23035

Dima, D., Friston, K. J., Stephan, K. E. & Frangou, S. (2015). Neuroticism and conscientiousness respectively constrain and facilitate short-term plasticity within the working memory neural network. Human Brain Mapping, 36(10), pp. 4158-4163. doi: 10.1002/hbm.22906

Friston, K. J., Bastos, A. M., Pinotsis, D. A. ORCID: 0000-0002-6865-8103 & Litvak, V. (2014). LFP and oscillations - what do they tell us?. Current Opinion in Neurobiology, 31, pp. 1-6. doi: 10.1016/j.conb.2014.05.004

Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Robinson, P., Graben, P. B. & Friston, K. J. (2013). Neural masses and fields: modeling the dynamics of brain activity. Frontiers in Computational Neuroscience, 8(NOV), article number 149. doi: 10.3389/fncom.2014.00149

Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Leite, M. & Friston, K. J. (2013). On conductance-based neural field models. Frontiers in Computational Neuroscience, 7(NOV), article number 158. doi: 10.3389/fncom.2013.00158

Moran, R., Pinotsis, D. A. ORCID: 0000-0002-6865-8103 & Friston, K. J. (2013). Neural masses and fields in dynamic causal modeling. Frontiers in Computational Neuroscience, 7(APR 20), article number 57. doi: 10.3389/fncom.2013.00057

Dima, D., Stephan, K. E., Roiser, J. P. , Friston, K. J. & Frangou, S. (2011). Effective connectivity during processing of facial affect: evidence for multiple parallel pathways. The Journal of Neuroscience, 31(40), pp. 14378-14385. doi: 10.1523/jneurosci.2400-11.2011

This list was generated on Sat Feb 24 04:47:41 2024 UTC.