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By members and collaborators of the Functional Imaging Laboratory


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Publications of D.A. Pinotsis

Articles in journal, book chapters

  1. Rick Adams, Markus Bauer, Dimitris Pinotsis, and K.J. Friston. Dynamic causal modelling of pursuit eye movements: a physiological validation with MEG. NeuroImage, 132:175-189, 2016. [doi:10.1016/j.neuroimage.2016.02.055] Keyword(s): DCM. [bibtex-entry]


  2. Dimitris Pinotsis, J.P. Geerts, L. Pinto, T.H.B. FitzGerald, V. Litvak, R. Auksztulewicz, and K.J. Friston. Linking canonical microcircuits and neuronal activity: Dynamic Causal Modelling of Laminar Recordings. NeuroImage, 2016. [doi:j.neuroimage.2016.11.041] [bibtex-entry]


  3. Dimitris Pinotsis, R. Loonis, A. Bastos, E.K. Miller, and K.J. Friston. Bayesian modelling of induced responses and neuronal rhythms. Brain Topography, 2016. [doi:10.1007/s10548-016-0526-y] [bibtex-entry]


  4. Dimitris Pinotsis, G. Perry, V. Litvak, K. Singh, and K.J. Friston. Intersubject variability of induced gamma in the visual cortex: DCM with empirical Bayes and neural fields. Human Brain Mapping, 2016. [doi:10.1002/hbm.23331] Keyword(s): DCM. [bibtex-entry]


  5. K.J. Friston, A.M. Bastos, D.A. Pinotsis, and V. Litvak. LFP and oscillations - what do they tell us?. Current Opinion in Neurobiology, 31:1-6, 2015. [doi:10.1016/j.conb.2014.05.004] [bibtex-entry]


  6. D.A. Pinotsis and K.J. Friston. Extracting novel information from neuroimaging data using neural fields. EPJ Nonlinear Biomedical Physics, 2(5), 2014. [doi:10.1140/epjnbp18] [bibtex-entry]


  7. D.A. Pinotsis and K.J. Friston. Gamma oscillations and neural field DCMs can reveal cortical excitability and microstructure. AIMS Neuroscience Special Issue on Gamma Oscillations, 1:4-24, 2014. [doi:10.3934/Neuroscience.2014.1.18] [bibtex-entry]


  8. D.A. Pinotsis and K.J. Friston. Neural Fields, Masses and Bayesian Inference. Springer Mathematical Neuroscience Series, 2014. [doi:10.1007/978-3-642-54593-1_17] [bibtex-entry]


  9. D.A. Pinotsis, N.Brunet, A. Bastos, V. Litvak, P.Fries, and K.J. Friston. Contrast gain control and horizontal interactions in V1: A DCM study. NeuroImage, 92:143-155, 2014. [doi:10.1016/j.neuroimage.2014.01.047] Keyword(s): DCM. [bibtex-entry]


  10. R. Moran, D.A. Pinotsis, and K.J. Friston. Neural Masses and Fields in Dynamic Causal Modelling. Frontiers in Computational Neuroscience, 7(00057), 2013. [doi:10.3389/fncom.2013.00057] Keyword(s): DCM. [bibtex-entry]


  11. D.A. Pinotsis, E. Hansen, K.J. Friston, and V.K. Jirsa. Anatomical connectivity and the resting state activity of large cortical networks. NeuroImage, 65(0):127-138, 2013. [WWW] [doi:10.1016/j.neuroimage.2012.10.016] Keyword(s): connectivity. [bibtex-entry]


  12. D.A. Pinotsis, Marco Leite, and K.J. Friston. On conductance-based neural field models. Frontiers in Computational Neuroscience, 7(00158), 2013. [doi:10.3389/fncom.2013.00158] Keyword(s): DCM. [bibtex-entry]


  13. D.A. Pinotsis, D.S. Schwarzkopf, V. Litvak, G. Rees, G. Barnes, and K.J. Friston. Dynamic causal modelling of lateral interactions in the visual cortex. NeuroImage, 66(1):563-576, 2013. [PDF] [doi:10.1016/j.neuroimage.2012.10.078] Keyword(s): DCM. [bibtex-entry]


  14. D.A. Pinotsis, R. Moran, and K.J. Friston. Dynamic causal modeling with neural fields. NeuroImage, 59(2):1261-1274, 2012. [PDF] [doi:10.1016/j.neuroimage.2011.08.020] Keyword(s): DCM. [bibtex-entry]


  15. D.A. Pinotsis and K.J. Friston. Neural fields, spectral responses and lateral connections. NeuroImage, 55(1):39-48, 2011. [WWW] [doi:10.1016/j.neuroimage.2010.11.081] Keyword(s): DCM. [bibtex-entry]



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Last modified: Wed Nov 22 15:33:42 2023
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