Cellular neural network realizations of neuron models with diverse spiking patterns. - Károly Lotz; Adam Jacobs; Joos Vandewalle; Frank S. Werblin; Tamás Roska; Zoltán Vidnyánszky; József Hámori (Int. J. Circuit Theory Appl., 1996)

Receptive Field Atlas and Related CNN Models. - Viktor Gál; József Hámori; Tamás Roska; Dávid Bálya; Zsolt Borostyánköi; Mátyás Brendel; Károly Lotz; Laszlo Négyessy; László Orzó; István Petrás; Csaba Rekeczky; József Takács; et al. (Int. J. Bifurc. Chaos, 2004)

Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas. - Gyula Kovács; Csaba Cziraki; Zoltán Vidnyánszky; Stefan R. Schweinberger; Mark W. Greenlee (NeuroImage, 2008)

Modeling stimulus-driven attentional selection in dynamic natural scenes. - Anna Lázár; Zoltán Vidnyánszky; Tamás Roska (Int. J. Circuit Theory Appl., 2009)

Neural mechanisms for voice recognition. - Attila Andics; James M. McQueen; Karl Magnus Petersson; Viktor Gál; Gábor Rudas; Zoltán Vidnyánszky (NeuroImage, 2010)

Tracking the Saliency Features in Images Based on Human Observation Statistics. - Szilard Szalai; Tamás Szirányi; Zoltán Vidnyánszky (MUSCLE, 2011)

Saliency map estimation by constructing graphs of possible eye-tracking paths. - Szilard Szalai; Tamás Szirányi; Zoltán Vidnyánszky (CogInfoCom, 2012)

Stimulus repetition probability effects on repetition suppression are position invariant for faces. - Gyula Kovács; Lara Iffland; Zoltán Vidnyánszky; Mark W. Greenlee (NeuroImage, 2012)

FMRI repetition suppression for voices is modulated by stimulus expectations. - Attila Andics; Viktor Gál; Klára Vicsi; Gábor Rudas; Zoltán Vidnyánszky (NeuroImage, 2013)

Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics. - Lajos R. Kozák; Szabolcs Dávid; Gábor Rudas; Zoltán Vidnyánszky; Alexander Leemans; Zoltán Nagy 003 (NeuroImage, 2013)

Repetition probability effects for inverted faces. - Mareike Grotheer; Petra Hermann; Zoltán Vidnyánszky; Gyula Kovács (NeuroImage, 2014)

Unions of Regular Polygons with Large Perimeter-to-Area Ratio. - Viktor Kiss; Zoltán Vidnyánszky (Discret. Comput. Geom., 2015)

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. - Regina Meszlényi; Ladislav Peska; Viktor Gál; Zoltán Vidnyánszky; Krisztián Búza (ENIC, 2016)

Classification of fMRI data using dynamic time warping based functional connectivity analysis. - Regina Meszlényi; Ladislav Peska; Viktor Gál; Zoltán Vidnyánszky; Krisztián Búza (EUSIPCO, 2016)

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. - Regina Meszlényi; Krisztián Búza; Zoltán Vidnyánszky (Frontiers Neuroinformatics, 2017)

Predicting Reading Speed from Eye-Movement Measures. - Ádám Nárai; Kathleen Kay Amora; Zoltán Vidnyánszky; Béla Weiss (ICPR Workshops (3), 2020)

Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach. - János Szalma; Kathleen Kay Amora; Zoltán Vidnyánszky; Béla Weiss (ICPR Workshops (3), 2020)

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network. - Pál Vakli; Regina J. Deák-Meszlényi; Tibor Auer; Zoltán Vidnyánszky (Frontiers Neuroinformatics, 2020)

On the existence of Large Antichains for Definable quasi-Orders. - Benjamin D. Miller; Zoltán Vidnyánszky (J. Symb. Log., 2020)

On Homomorphism Graphs. - Sebastian Brandt 002; Yi-Jun Chang; Jan Grebík; Christoph Grunau; Václav Rozhon; Zoltán Vidnyánszky (CoRR, 2021)

On the existence of small antichains for definable quasi-orders. - Raphaël Carroy; Benjamin D. Miller; Zoltán Vidnyánszky (J. Math. Log., 2021)

Neural basis of distractor resistance during visual working memory maintenance. - Petra Hermann; Béla Weiss; Balázs Knakker; Petra Madurka; Annamária Manga; Ádám Nárai; Zoltán Vidnyánszky (NeuroImage, 2021)

Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics. - Sebastian Brandt 002; Yi-Jun Chang; Jan Grebík; Christoph Grunau; Václav Rozhon; Zoltán Vidnyánszky (ITCS, 2022)

The structure of random automorphisms of the random graph. - Udayan B. Darji; Márton Elekes 002; Kende Kalina; Viktor Kiss; Zoltán Vidnyánszky (Ann. Pure Appl. Log., 2022)

Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees. - Sebastian Brandt 002; Yi-Jun Chang; Jan Grebík; Christoph Grunau; Václav Rozhon; Zoltán Vidnyánszky (CoRR, 2022)

Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia. - Béla Weiss; Ádám Nárai; Zoltán Vidnyánszky (NeuroImage, 2022)

The CSP Dichotomy, the Axiom of Choice, and Cyclic Polymorphisms. - Tamás Kátay; László Márton Tóth; Zoltán Vidnyánszky (CoRR, 2023)

Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics. - Pál Vakli; Béla Weiss; János Szalma; Peter Barsi; István Gyuricza; Péter Kemenczky; Eszter Somogyi; Ádám Nárai; Viktor Gál; Petra Hermann; Zoltán Vidnyánszky (Medical Image Anal., 2023)

Finding Pattern in the Noise: Persistent Implicit Statistical Knowledge Impacts the Processing of Unpredictable Stimuli. - Andrea Kóbor; Karolina Janacsek; Petra Hermann; Zsófia Zavecz; Vera Varga; Valéria Csépe; Zoltán Vidnyánszky; Gyula Kovács; Dezso Németh (J. Cogn. Neurosci., 2024)

The effect of head motion on brain age prediction using deep convolutional neural networks. - Pál Vakli; Béla Weiss; Dorina Rozmann; György Eross; Ádám Nárai; Petra Hermann; Zoltán Vidnyánszky (NeuroImage, 2024)

Zero-dimensional σ-homogeneous spaces. - Andrea Medini; Zoltán Vidnyánszky (Ann. Pure Appl. Log., 2024)

Slow-wave sleep is associated with nucleus accumbens volume in elderly adults. - Kitti Bán; Ádám Nárai; Noémi Báthori; Éva M. Bankó; Adél Bihari; Vivien Tomacsek; Tibor Kovács; Béla Weiss; Petra Hermann; Péter Simor; Zoltán Vidnyánszky (NeuroImage, 2025)

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. - Vikram Venkatraghavan; Damiano Archetti; Pierrick Bourgeat; Chenyang Jiang; Mara ten Kate; Anna Catharina van Loenhoud; Rik Ossenkoppele; Charlotte E. Teunissen; Elsmarieke van de Giessen; Yolande A. L. Pijnenburg; Giovanni B. Frisoni; Béla Weiss; et al. (NeuroImage, 2025)

From descriptive to distributed. - Jan Grebík; Zoltán Vidnyánszky (CoRR, 2025)