Humphreys G.W. and Mavritsaki E. (in press) Modelling visual attention in search in multiple levels. In Posner M.I. (Eds.) Cognitive Neuroscience of Attention.
Mavritsaki E., Heinke D., Allen H., Deco G. and Humphreys G.W. (2011) Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention. Psychological Review, 118(1), 3-41.
Mavritsaki E., Allen H.A., Humphreys G.W. (2010) Decomposing the neural mechanisms of visual marking using an interconnected network of spiking neurons: The spiking search over time and space model (sSoTS). NeuroImage, 52(3), 934-46.
Riddoch M.J., Chechlasz M., Mevorach C., Mavritsaki, E., Allen H.(2010) The neural mechanisms of visual selection: The view from neuropsychology. Annals of the New York Academy of Sciences, 1191(1):156-81.
Mavritsaki E., Humphreys G.W., Heinke D. and Deco G. (2010) Modelling Neuropsychological Deficits. In Srinivasan N., Kar S. and Pandey J. (Eds.) Advances in Cognitive Science: Volume 2. Sage.
Mavritsaki E., Humphreys G.W., Heinke D. and Deco G. (2009) Simulating posterior parietal damage in a biologically plausible framework: Neuropsychological tests of the sSoTS model. Cognitive Neuropsychology, 26 (4), 343-390.
Heinke D. & Mavritsaki E., Computational modeling in behavioral neuroscience: Closing the gap between neurophysiology and behavior. London: Psychology Press (2009).
Humphreys G.W., Allen H. and Mavritsaki E. Using biologically plausible neural models to specify the functional and neural mechanisms of visual search. In Srinivasan N. (Ed.) Progress in Brain Research, Vol. 176, Netherlands: Elsevier, (2009), pp. 135-148.
Mavritsaki E.,Allen H. and Humphreys G.W. (2009) Decomposition of neural circuits of human attention using a model-based analysis: sSoTS model application to fMRI data. In Mayor J., Ruh N. and Plunkett K. (Eds) Connectionist models on behaviour and Cognition II, 18, 401-414.
Mavritsaki E., Allen H. and Humphreys G.W. (2009) Model based analysis of fMRI-data: Applying the sSoTS framework to the neural basis of preview search. In Paletta L. and Tsotos J.K. (Eds.) Attention in Cognitive Systems. Berlin: Springer, 5395, 124-138
Heinke D., Mavritsaki E., Backhous A. and Kreyling M. (2009) The selective attention for identification model (SAIM): A framework for closing the gap between behaviour and neurological level. In D. G. Heinke & E. Mavritsaki (Eds.), Computational modelling in behavioural neuroscience: Closing the gap between neurophysiology and behaviour. London: Psychology Press.
Humphreys, G. W., Mavritsaki, E., H. Allen, Heinke, D. G., & Deco, G. (2009) Application of neural-level model to human visual search: Modelling the whole system behaviour, neuropsychological break down and BOLD signal activation. In D. G. Heinke & E. Mavritsaki (Eds.), Computational modeling in behavioral neuroscience: Closing the gap between neurophysiology and behavior. London: Psychology Press.
Mavritsaki E., Heinke D., Humphreys G.W., and Deco G. (2008) The spiking search over time and space model (sSOTS): Simulating dual task experiments and the temporal dynamics of preview search. Lecture Notes in Computer Science: Attention in Cognitive Systems, L. Paletta and E. Rome, Eds., in Springer LNAI.
Lepora NF., Mavritsaki E., Porrill J., Yeo C.H., Evinger L.C., Dean P. (2007) Evidence from Retractor Bulbi EMG for Linearised Motor Control of Conditioned Nictitating Membrane Responses. Journal of Neurophysiology, 98, 2074-2088.
Mavritsaki E., Heinke D., Deco G. and Humphreys G.W. (2007) Suppressive effects in visual search: A neuron-computational analysis of preview search. Neurocomputing, 70, 1925 -1931.
Mavritsaki E, Lepora N.F., Porrill J., Yeo C.H., Dean P. (2007) Response linearity determined by recruitment strategy in detailed model of nictititating membrane control. Biological Cybernetics, 96 (1), 39-57.
Mavritsaki E., Heinke D., Deco G. and Humphreys G.W. (2006) A computational model of visual marking using an interconnected network of spiking neurons: The spiking search over time & space model (sSoTS). Journal of Physiology Paris, 100, 110-124.