Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker. - Lubica Benusková (ICANN, 1997)

Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition. - Peter Tiño; Michal Stancík; Lubica Benusková (IJCNN (2), 2000)

Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner. - Michal Cernanský; Lubica Benusková (ICANN, 2001)

Neural Networks-Based Parametric Testing of Analog IC. - Viera Stopjaková; Daniel Micusík; Lubica Benusková; Martin Margala (DFT, 2002)

Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits. - Daniel Micusík; Viera Stopjaková; Lubica Benusková (Neural Comput. Appl., 2002)

Computational neurogenetic modelling: gene networks within neural networks. - Nikola K. Kasabov; Lubica Benuskova; Simei Gomes Wysoski (IJCNN, 2004)

Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks. - Matej Makula; Michal Cernanský; Lubica Benusková (SOFSEM, 2004)

Markovian architectural bias of recurrent neural networks. - Peter Tiño; Michal Cernanský; Lubica Benusková (IEEE Trans. Neural Networks, 2004)

Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. - Nikola K. Kasabov; Lubica Benuskova; Simei Gomes Wysoski (ICANN (2), 2005)

A computational neurogenetic model of a spiking neuron. - Nikola K. Kasabov; Lubica Benuskova; Simei Gomes Wysoski (IJCNN, 2005)

Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (ACIVS, 2006)

Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. - Nikola K. Kasabov; Vishal Jain; Paulo C. M. Gottgtroy; Lubica Benuskova; Frances Joseph (HIS, 2006)

On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (ICANN (1), 2006)

Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. - Lubica Benuskova; Simei Gomes Wysoski; Nikola K. Kasabov (IJCNN, 2006)

Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. - Ilkka Havukkala; Lubica Benuskova; Shaoning Pang 001; Vishal Jain; Rene Kroon; Nikola K. Kasabov (PRIB, 2006)

Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. - Lubica Benuskova; Vishal Jain; Simei Gomes Wysoski; Nikola K. Kasabov (Int. J. Neural Syst., 2006)

Text-Independent Speaker Authentication with Spiking Neural Networks. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (ICANN (2), 2007)

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (ICONIP (2), 2007)

Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. - Nikola K. Kasabov; Vishal Jain; Paulo C. M. Gottgtroy; Lubica Benuskova; Simei Gomes Wysoski; Frances Joseph (IJCNN, 2007)

Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain. - Nikola K. Kasabov; Vishal Jain; Paulo C. M. Gottgtroy; Lubica Benuskova; Frances Joseph (Cybern. Syst., 2007)

Modeling L-LTP based on changes in concentration of pCREB transcription factor. - Lubica Benuskova; Nikola K. Kasabov (Neurocomputing, 2007)

STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity. - Lubica Benuskova; Wickliffe C. Abraham (J. Comput. Neurosci., 2007)

Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures. - Michal Cernanský; Matej Makula; Lubica Benusková (Neural Networks, 2007)

Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing. - Matej Makula; Lubica Benusková (ICANN (2), 2008)

Training Recurrent Connectionist Models on Symbolic Time Series. - Michal Cernanský; Lubica Benusková (ICONIP (1), 2008)

Improving the State Space Organization of Untrained Recurrent Networks. - Michal Cernanský; Matej Makula; Lubica Benusková (ICONIP (1), 2008)

Topology of Brain Functional Networks: Towards the Role of Genes. - Mária Markosová; Liz Franz; Lubica Benusková (ICONIP (1), 2008)

Fast and adaptive network of spiking neurons for multi-view visual pattern recognition. - Simei Gomes Wysoski; Lubica Benusková; Nikola K. Kasabov (Neurocomputing, 2008)

Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. - Nikola K. Kasabov; Vishal Jain; Lubica Benuskova (Neural Networks, 2008)

Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery. - Nikola K. Kasabov; Vishal Jain; Lubica Benuskova; Paulo C. M. Gottgtroy; Frances Joseph (Computational Intelligence in Medical Informatics, 2008)

Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. - Nikola K. Kasabov; Qun Song 002; Lubica Benuskova; Paulo C. M. Gottgtroy; Vishal Jain; Anju Verma; Ilkka Havukkala; Elaine Rush; Russel Pears; Alex Tjahjana; Yingjie Hu; Stephen G. MacDonell (Computational Intelligence in Biomedicine and Bioinformatics, 2008)

Interactive visualisation of oligomer frequency in DNA. - Matej Makula; Lubica Benusková (Comput. Informatics, 2009)

Evolving spiking neural networks for audiovisual information processing. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (Neural Networks, 2010)

Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing. - Simei Gomes Wysoski; Lubica Benuskova; Nikola K. Kasabov (Brain-Inspired Information Technology, 2010)

A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures. - Martin Takác 002; Lubica Benusková; Alistair Knott (ICANN (2), 2011)

Editorial: One Year as EiC, and Editorial-Board Changes at TNN. - Marco Baglietto; Lubica Benusková; Ivo Bukovsky; Tianping Chen; Tom Heskes; Kazushi Ikeda; Fakhri Karray; Rhee Man Kil; Robert Legenstein; Jinhu Lu; Yunqian Ma; Malik Magdon-Ismail; et al. (IEEE Trans. Neural Networks, 2011)

Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm. - Glenn Blanchette; Richard A. O'Keefe; Lubica Benuskova (Australasian Conference on Artificial Intelligence, 2012)

Why is it hard to induce long-term depression? - Lubica Benuskova (IJCNN, 2012)

Bistable properties of a memory-related gene regulatory network. - Gonzalo S. Nido; Joanna M. Williams; Lubica Benuskova (IJCNN, 2012)

Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory. - Mira Guise; Alistair Knott; Lubica Benuskova (Australasian Conference on Artificial Intelligence, 2013)

A Bayesian Model of Polychronicity. - Mira Guise; Alistair Knott; Lubica Benuskova (Neural Comput., 2014)

Enhanced polychronization in a spiking network with metaplasticity. - Mira Guise; Alistair Knott; Lubica Benuskova (Frontiers Comput. Neurosci., 2015)

A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. - Peter Jedlicka; Lubica Benuskova; Wickliffe C. Abraham (PLoS Comput. Biol., 2015)

Artificial Neural Network Models. - Peter Tiño; Lubica Benuskova; Alessandro Sperduti (Handbook of Computational Intelligence, 2015)

Computational simulation of dentate gyrus granule cell - The role of metaplasticity. - Nicholas Hananeia; Lubica Benuskova (Neurocomputing, 2016)

Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell. - Matús Tomko; Peter Jedlicka; Lubica Benusková (ICANN (2), 2020)

A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons. - Matús Tomko; Lubica Benuskova; Peter Jedlicka (J. Comput. Neurosci., 2024)