By members and collaborators of the Functional Imaging Laboratory


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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