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Journal publications (pdf files here)

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D.A. Pinotsis* and E.K. Miller,  Beyond dimension reduction: Stable electric fields emerge from and allow representational drift,  NeuroImage, 253, 119058  (2022)


D. A. Pinotsis, S. Fitzgerald, S. Cee, A. Sementsova and A.S. Widge, Toward biophysical markers of depression vulnerabilityFront. Psychiatry, 13, (2022)


R. A. Adams, D. Pinotsis, K. Tsirlis, L. Unruh et al., Computational modelling of EEG and fMRI paradigms reveals a consistent loss of pyramidal cell synaptic gain in schizophrenia,  Biol. Psychiatry, 91 (2), 202-15 (2002)


D.A. Pinotsis* and E.K. Miller, Differences in visually induced MEG oscillations reflect differences in deep cortical layer activity, Communications Biology, 3(1), 1-12 (2020)


B.K. Min, H.S. Kim, D.A. Pinotsis and D.Pantazis, Thalamocortical inhibitory dynamics support conscious perception, NeuroImage,220, 117066 (2020)


D.A. Pinotsis* and E.K. Miller, New approaches for studying cortical representations, AAAI Spring Symposium Series Technical Report (2017)


D.A. Pinotsis*, R. Loonis,  A. Bastos,  E.K. Miller and K.J. Friston, Bayesian modelling of induced responses and neuronal rhythms, Brain Topography – Special Issue: Controversies in EEG Source Analysis, doi:10.1007/s10548-016-0526-y (2016) 

Top 5 Most Downloaded Brain Topography Article for 2016


K. J. Friston*, A. M. Bastos, D. A. Pinotsis and V. Litvak, LFP and oscillations – what do they tell us?, Current Opinion in Neurobiology: Brain rhythms and dynamic coordination, 31:1-6 (2015) 

Most Downloaded Current Opinion in Neurobiology Article for 2015


D.A. Pinotsis*, P. Robinson, P. beim Graben and K.J. Friston, Neural Masses and Fields: Modelling the Dynamics of Brain Activity, Frontiers in Computational Neuroscience, doi:10.3389/fncom.2014.00149 (2014)


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)


D.A. Pinotsis* and K.J. Friston, Extracting novel information from neuroimaging data using neural fields, EPJ Nonlinear Biomedical Physics, 2:5 (2014)


R. Moran*+, D.A. Pinotsis+ and K.J. Friston, Neural Masses and Fields in Dynamic Causal Modelling, Frontiers in Computational Neuroscience,  7:57. doi: 10.3389/fncom.2013.00057 (2013)



More specialized papers


F. Van  de Steen, D. Pinotsis, W. Devos, N. Colenbier, I. Bassez, K. Friston, and  D. Marinazzo, Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex, PLoS Comp. Biol. , 18 , 12 ( 2022)


K. Wegner, C.R.E. Wilson, E. Procyk, K. J. Friston, F. Van de Steen, D. A. Pinotsis and D. Marinazzo, Frontal effective connectivity increases with task

demands and time on task: a DCM study on electrocorticogram in macaque monkeys, Neurons, Behavior, Data analysis, and Theory (to appear)


D.A. Pinotsis, Statistical decision theory and multiscale analyses of human brain data, Journal of Neuroscience Methods, 346, 108912 (2020)


D.A. Pinotsis*, M. Siegel and E.K. Miller, Sensory processing and categorization in deep and cortical networks, NeuroImage, 202, 116118 (2019)


D.A.Pinotsis*,T.J. Buschman and E.K. Miller, Working memory load modulates neuronal coupling, Cerebral Cortex, (2018) doi: https://doi.org/10.1101/192336


D.A.Pinotsis*,S.L. Brincat and E.K. Miller, On memories, neural ensembles and mental flexibility, NeuroImage, 157, 297-313 (2017)


Á. Díez*, S. Ranlund, D. Pinotsis, S. Calafato, M. Shaikh, M. Hall, M. Walshe, Á. Nevado; K.J. Friston, R. Adams and E. Bramon, Abnormal frontal intrinsic effective connectivity during the P300 evocation in patients with psychosis and their unaffected relatives, Human Brain Mapping, 38, 3262–3276, (2017)


A. Karanasiou* and D. A. Pinotsis, A Study into the Layers of Automated Decision Making: Emergent Normative and Legal Aspects of Deep Learning, International Review of Law, Computers & Technology – Special Issue: Justice in Algorithmic Robes, 31, 170–187 (2017)


D.A.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, 146, 355-366 (2017)


D.A. 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, 37, 4597–4614 (2016)


R. Adams*, M. Bauer, D.Pinotsis and K. Friston, Dynamic causal modelling of pursuit eye movements: a physiological validation with MEG, NeuroImage, 132, 175–189 (2016)


S. Ranlund*,A. Diez, R. Adams, M. Shaikh, M. Walshe, A. Dutt, S. Petrella, A. Maeso, M. Constante, M. Hall, C. McDonald, R. Murray, K. Friston, D. Pinotsis+, E. Bramon+, Impaired prefrontal synaptic gain in people with psychosis and their relatives during the mismatch negativity, Human Brain Mapping, 37, 351-365 (2016)


D.A. Pinotsis*, N. Brunet, A. Bastos, C.A. Bosman, V. Litvak, P. Fries and K.J. Friston, Contrast gain-control and horizontal interactions in V1: a DCM study, NeuroImage, 92:143-155 (2014)


D.A.Pinotsis*,  M. Leite and K.J. Friston,  On conductance-based neural field models. Frontiers in Computational Neuroscience, 7:158. doi: 10.3389/fncom.2013.00158 (2013)


D.A.Pinotsis*, S. Schwarzkopf, V. Litvak, G. Rees, G. Barnes and K.J. Friston, Dynamic Causal Modelling of lateral interactions in the visual cortex, NeuroImage 66, 563-576 (2013)


D.A. Pinotsis*, E. Hansen, K.J. Friston and V. Jirsa, Anatomical connectivity and the resting state activity of large cortical networks, NeuroImage 65, 127-138 (2013)


D.A.Pinotsis* , R. J. Moran and K.J. Friston, Dynamic Causal Modelling with Neural fields, NeuroImage, 59, 2-5, 1261-1274 (2012)


D.A.Pinotsis* and K.J. Friston, Neural fields, Spectral Responses and Lateral Connections, NeuroImage, 55, 1, 39-48 (2011)


P. Grindrod and D.A. Pinotsis* , On the spectra of certain Integro-Differential-Delay problems with applications in neurodynamics, Physica D 240 13–20 (2011)


 P. beim Graben*, D. Pinotsis, D. Saddy and R. Potthast, Language Processing with Dynamic Fields, Cognitive Neurodynamics, 2, 79-88 (2008)




Selected mathematical papers


D.A. Pinotsis, Commutative Quaternions, Spectral Analysis and Boundary Value Problems, Complex Variables and Elliptic Equations  57, 9, 953-966 (2012)


D.A. Pinotsis, Integral Representations of Displacements in Linear Elasticity, Applied Mathematics Letters, 24, 10, 1670-1675 (2011)


D.A. Pinotsis, Quaternionic Analysis, Elliptic Problems and a Physical Application of the Dbar Formalism, Advances in Applied Clifford Algebras 20, 3-4, 819–836 (2010)


B. Pelloni*  and D.A. Pinotsis, The Elliptic Sine Gordon Equation in a Half Plane,Nonlinearity, 23,77-88 (2010)


B. Pelloni and D.A. Pinotsis*, Moving Boundary Value Problems for the Wave Equation, J. Computational Applied Mathematics 234, 1685– 1691 (2010)


 B. Pelloni and D.A. Pinotsis*, Boundary Value problems for the N-wave equation, Physics Letters A, 373, 22, 1940–1950 (2009)


 B. Pelloni and D.A. Pinotsis*, The Klein-Gordon Equation in a Time-Dependent Domain, Studies in Applied Mathematics, 121, 3, 291–312 (2008)


 B. Pelloni and D.A. Pinotsis*, The Klein-Gordon Equation on the Half Line: a Riemann-Hilbert approach, J. Nonlinear Mathematical Physics, 15, Suppl. 3, 334-344 (2008)


 A.S. Fokas and D.A. Pinotsis*, Quaternions, Evaluation of Integrals and Boundary Value Problems, Computational Methods Function Theory 7, 2, 443–476 (2007)


 D.A. Pinotsis, The Riemann-Hilbert Formalism for Certain Linear and Nonlinear Integrable PDEs, J. Nonlinear Mathematical Physics 14, 3, 466–485 (2007)


 A.S. Fokas* and D.A. Pinotsis*, The Dbar Formalism for Certain Non Homogeneous Linear Elliptic PDEs in Two Dimensions, European J. Applied Mathematics 17, 3, 323–346 (2006)