Zoltán Vidnyánszky

发表

P242 Dynamic time warping distance based connectivity: A new method for resting-state FMRI functional connectivity analysis

Ladislav Peska, Regina Meszlényi, Petra Hermann, 2017, Clinical Neurophysiology.

Repetition probability effects for inverted faces

Mareike Grotheer, Gyula Kovács, Petra Hermann, 2014, NeuroImage.

Subthreshold features of visual objects: Unseen but not unbound

David Melcher, Zoltán Vidnyánszky, D. Melcher, 2006, Vision Research.

Classification of fMRI data using dynamic time warping based functional connectivity analysis

Ladislav Peska, Krisztian Buza, Regina Meszlényi, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Neural mechanisms for voice recognition

James M. McQueen, Zoltán Vidnyánszky, Karl Magnus Petersson, 2010, NeuroImage.

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network

Zoltán Vidnyánszky, Tibor Auer, Pál Vakli, 2020, Frontiers in Neuroinformatics.

FMRI repetition suppression for voices is modulated by stimulus expectations

Klára Vicsi, Zoltán Vidnyánszky, Viktor Gál, 2013, NeuroImage.

Modeling stimulus-driven attentional selection in dynamic natural scenes

Tamás Roska, Zoltán Vidnyánszky, Anna Lazar, 2009 .

Cellular neural network realizations of neuron models with diverse spiking patterns

Joos Vandewalle, Tamás Roska, Adam Jacobs, 1996, Int. J. Circuit Theory Appl..

Modeling stimulus‐driven attentional selection in dynamic natural scenes

Tamás Roska, Zoltán Vidnyánszky, Anna Lázár, 2009, Int. J. Circuit Theory Appl..

Testing for translation invariance reveals two stages of facial adaptation

Gyula Kovács, Zoltán Vidnyánszky, Márta Zimmer, 2005 .

Tracking the Saliency Features in Images Based on Human Observation Statistics

Tamás Szirányi, Zoltán Vidnyánszky, Szilard Szalai, 2011, MUSCLE.

The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.)

Ákos Zarándy, Tamás Roska, K. Lotz, 1992 .

The use of CNN models in the subcortical visual pathway. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-16-1992)

Tamás Roska, Ákos Zarándy, P. L. Venetianer, 1993 .

Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics

Alexander Leemans, Zoltán Vidnyánszky, Szabolcs Dávid, 2013, NeuroImage.

Érzékelő-értelmező topografikus számítógépek - természet motiválta architektúrák és elektronikai implementációk (multidiszciplináris tudományos iskola) = Sensing-understanding topographic computers - bioinspired architectures and electronic implementations

Tamás Roska, Csaba Rekeczky, János Levendovszky, 2007 .

Stimulus repetition probability effects on repetition suppression are position invariant for faces

Mark W. Greenlee, Gyula Kovács, Zoltán Vidnyánszky, 2012, NeuroImage.

Unions of Regular Polygons with Large Perimeter-to-Area Ratio

Zoltán Vidnyánszky, Viktor Kiss, 2015, Discret. Comput. Geom..

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture

Krisztian Buza, Regina Meszlényi, Zoltán Vidnyánszky, 2017, Front. Neuroinform..

Info-Bionika, Nanoelektronika és Mesterséges értés - Multidiszciplináris Információs Technológia = Info-Bionics, Nanoelectronics and Artificial Understanding - Multidisciplinary Information Technology

Tamás Szirányi, Tamás Roska, Csaba Rekeczky, 2010 .

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain

Ladislav Peska, Krisztian Buza, Regina Meszlényi, 2016, 2016 Third European Network Intelligence Conference (ENIC).

Receptive Field Atlas and Related CNN Models

István Petrás, Tamás Roska, Mátyás Brendel, 2004, Int. J. Bifurc. Chaos.

Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks

Petra Hermann, Zoltán Vidnyánszky, Pál Vakli, 2018, GigaScience.

Attention to one component of bivectorial transparent motion strongly inhibits the processing of the unattended component

Erik Blaser, Thomas V. Papathomas, Zoltán Vidnyánszky, 2010 .

Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas

Mark W. Greenlee, Gyula Kovács, Zoltán Vidnyánszky, 2008, NeuroImage.

Visual processing during natural reading

Zoltán Vidnyánszky, Béla Weiss, Balázs Knakker, 2016, Scientific Reports.

Selection and binding of visual features outside of the focus of attention

Thomas V. Papathomas, David Melcher, Zoltán Vidnyánszky, 2004 .

Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping

Petra Hermann, Krisztian Buza, Zoltán Vidnyánszky, 2017, Front. Neurosci..

Cellular neural network realizations of neuron models with diverse spiking patterns

Joos Vandewalle, Tamás Roska, Frank S. Werblin, 1996 .

Feature-based attention: Effects of eccentricity

Thomas V. Papathomas, Zoltán Vidnyánszky, Sharon L. Sally, 2010 .

Investigating the Group-Level Impact of Advanced Dual-Echo fMRI Combinations

Christian Windischberger, Zoltán Vidnyánszky, Christopher Hill, 2016, Front. Neurosci..

Object-based cross-attribute attentional effects in bivectorial motion

Erik Blaser, Thomas V. Papathomas, Zoltán Vidnyánszky, 2010 .

Minimal definable graphs of definable chromatic number at least three

Zoltán Vidnyánszky, Raphaël Carroy, Benjamin D. Miller, 2021, Forum of Mathematics, Sigma.

Neural basis of distractor resistance during visual working memory maintenance

Petra Hermann, Zoltán Vidnyánszky, Béla Weiss, 2021, NeuroImage.

Object-based attentional selection modulates anticipatory alpha oscillations

Zoltán Vidnyánszky, Béla Weiss, Balázs Knakker, 2015, Front. Hum. Neurosci..

Direct current stimulation over MT+/V5 modulates motion aftereffect in humans

Gyula Kovács, Walter Paulus, Zoltán Vidnyánszky, 2004, Neuroreport.

Contextual modulation of orientation discrimination is independent of stimulus processing time

Zoltán Vidnyánszky, Bela Julesz, Thomas V Papathomas, 2001, Vision Research.

Smelling human sex hormone-like compounds affects face gender judgment of men

Gyula Kovács, Zoltán Vidnyánszky, Ivanka Savic, 2004, Neuroreport.

Learning to filter out visual distractors

Zoltán Vidnyánszky, John T Serences, Éva M. Bankó, 2009, The European journal of neuroscience.

Retention interval affects visual short-term memory encoding.

Zoltán Vidnyánszky, Éva M. Bankó, Z. Vidnyánszky, 2010, Journal of neurophysiology.

Attentional learning: Learning to bias sensory competition

Zoltán Vidnyánszky, Wonyeong Sohn, 2010 .

Flawless visual short-term memory for facial emotional expressions.

Zoltán Vidnyánszky, Éva M. Bankó, Viktor Gál, 2009, Journal of vision.

Neural Basis of Identity Information Extraction from Noisy Face Images

Petra Hermann, Zoltán Vidnyánszky, Éva M. Bankó, 2015, The Journal of Neuroscience.

Motion integration during motion aftereffects

Erik Blaser, Thomas V. Papathomas, Zoltán Vidnyánszky, 2002, Trends in Cognitive Sciences.

The contribution of surprise to the prediction based modulation of fMRI responses

Mareike Grotheer, Gyula Kovács, Petra Hermann, 2016, Neuropsychologia.

Binding of motion and colour is early and automatic

Erik Blaser, Zoltán Vidnyánszky, Thomas Papathomas, 2005, The European journal of neuroscience.