A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity. - Vassilis Cutsuridis; Ioannis Kahramanoglou; Stavros J. Perantonis; Ioannis Evdokimidis; Nikolaos Smyrnis (ICANN (1), 2005)

A biophysical neural accumulator model of decision making in an antisaccade task. - Vassilis Cutsuridis; Ioannis Kahramanoglou; Nikolaos Smyrnis; Ioannis Evdokimidis; Stavros J. Perantonis (Neurocomputing, 2007)

A neural model of decision-making by the superior colicullus in an antisaccade task. - Vassilis Cutsuridis; Nikolaos Smyrnis; Ioannis Evdokimidis; Stavros J. Perantonis (Neural Networks, 2007)

Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients. - Ioannis Kahramanoglou; Stavros J. Perantonis; Nikolaos Smyrnis; Ioannis Evdokimidis; Vassilis Cutsuridis (ICANN (2), 2008)

Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action. - Foteini Protopapa; Dimitris S. Mylonas; Konstantinos G. Spiliotis; Constantinos I. Siettos; Nikolaos Smyrnis; Ioannis Evdokimidis (EMBC, 2011)

Single-trial magnetoencephalography signals encoded as an unfolding decision process. - Nikolaos Smyrnis; Dimitris S. Mylonas; Roozbeh Rezaie; Constantinos I. Siettos; Errikos M. Ventouras; Periklis Y. Ktonas; Ioannis Evdokimidis; Andrew C. Papanicolaou (NeuroImage, 2012)

Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory. - Foteini Protopapa; Constantinos I. Siettos; Ioannis Evdokimidis; Nikolaos Smyrnis (Frontiers Comput. Neurosci., 2014)

Functional magnetic resonance imaging of sensorimotor transformations in saccades and antisaccades. - Nora A. Herweg; Bernd Weber 001; Anna-Maria Kasparbauer; Inga Meyhöfer; Maria Steffens; Nikolaos Smyrnis; Ulrich Ettinger (NeuroImage, 2014)

COMT Val158Met genotype is associated with fluctuations in working memory performance: converging evidence from behavioural and single-trial P3b measures. - Christopher W. N. Saville; Thomas M. Lancaster; M. E. Stefanou; G. Salunkhe; I. Lourmpa; A. Nadkarni; Stephan G. Boehm; Stephan Bender; Nikolaos Smyrnis; Ulrich Ettinger; Bernd Feige; M. Biscaldi; et al. (NeuroImage, 2014)

Automatic identification of oculomotor behavior using pattern recognition techniques. - Alexandra I. Korda; Pantelis A. Asvestas; George K. Matsopoulos; Errikos M. Ventouras; Nikolaos P. Smyrnis (Comput. Biol. Medicine, 2015)

FMRI-based perceptual validation of a computational model for visual and auditory saliency in videos. - Georgia Panagiotaropoulou; Petros Koutras; Athanasios Katsamanis; Petros Maragos; Athanasia Zlatintsi; Athanassios Protopapas; Efstratios Karavasilis; Nikolaos Smyrnis (ICIP, 2016)

Evaluating cognitive models of visual word recognition using fMRI: Effects of lexical and sublexical variables. - Athanassios Protopapas; Eleni Orfanidou; J. S. H. Taylor; Efstratios Karavasilis; Efthymia Kapnoula; Georgia Panagiotaropoulou; Georgios Velonakis; Loukia S. Poulou; Nikolaos Smyrnis; Dimitrios Kelekis (NeuroImage, 2016)

Automatic identification of eye movements using the largest lyapunov exponent. - Alexandra I. Korda; Pantelis A. Asvestas; George K. Matsopoulos; Errikos M. Ventouras; Nikolaos Smyrnis (Biomed. Signal Process. Control., 2018)

Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors. - Panagiotis Paraskevas Filntisis; Athanasia Zlatintsi; Niki Efthymiou; Emmanouil Kalisperakis; Thomas Karantinos; Marina Lazaridi; Nikolaos Smyrnis; Petros Maragos (CoRR, 2020)

An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis. - Christos Garoufis; Athanasia Zlatintsi; Panagiotis Paraskevas Filntisis; Niki Efthymiou; Emmanouil Kalisperakis; Vasiliki Garyfalli; Thomas Karantinos; L. Mantonakis; Nikolaos Smyrnis; Petros Maragos (BHI, 2021)

A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia. - Konstantinos G. Spiliotis; Giannis Kahramanoglou; Jens Starke; Nikolaos Smyrnis; Constantinos I. Siettos (CoRR, 2021)

Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders. - Christos Garoufis; Athanasia Zlatintsi; Panayiotis Paraskevas Filntisis; Niki Efthymiou; Emmanouil Kalisperakis; Thomas Karantinos; Vasiliki Garyfalli; Marina Lazaridi; Nikolaos Smyrnis; Petros Maragos (EUSIPCO, 2022)

E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures. - Athanasia Zlatintsi; Panagiotis Paraskevas Filntisis; Christos Garoufis; Niki Efthymiou; Petros Maragos; Andreas Menychtas; Ilias Maglogiannis; Panayiotis Tsanakas; Thomas Sounapoglou; Emmanouil Kalisperakis; Thomas Karantinos; Marina Lazaridi; et al. (Sensors, 2022)

E-Prevention: The ICASSP-2023 Challenge on Person Identification and Relapse Detection from Continuous Recordings of Biosignals. - Athanasia Zlatintsi; Panagiotis Paraskevas Filntisis; Niki Efthymiou; Christos Garoufis; George Retsinas; Thomas Sounapoglou; Ilias Maglogiannis; Panayiotis Tsanakas; Nikolaos Smyrnis; Petros Maragos (ICASSP, 2023)

From Digital Phenotype Identification To Detection Of Psychotic Relapses. - Niki Efthymiou; George Retsinas; Panagiotis Paraskevas Filntisis; Christos Garoufis; Athanasia Zlatintsi; Emmanouil Kalisperakis; Vasiliki Garyfalli; Thomas Karantinos; Marina Lazaridi; Nikolaos Smyrnis; Petros Maragos (ICHI, 2023)

The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping. - Panagiotis Paraskevas Filntisis; Niki Efthymiou; George Retsinas; Athanasia Zlatintsi; Christos Garoufis; Thomas Sounapoglou; Panayotis Tsanakas; Nikolaos Smyrnis; Petros Maragos (ICASSP Workshops, 2024)

Late Life Depression Automated Detection by Means of Advanced Diffusion Tensor Imaging Segmentation and Artificial Intelligence. - Kostas Siarkos; Christos D. Katsis; Georgios Antonopoulos; Efstratios Karavasilis; Georgios Velonakis; Charalabos Papageorgiou; Nikolaos Smyrnis; Nikolaos Kelekis; Euripidis Glavas; Antonios Politis (ISBI, 2024)