Lubica Benusková

发表

Building predictive models on complex symbolic sequences with a second-order recurrent BCM network with lateral inhibition

Peter Tiño, Michal Stancík, Lubica Benusková, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Bistable properties of a memory-related gene regulatory network

Lubica Benusková, Gonzalo S. Nido, Joanna M. Williams, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm

Richard A. O'Keefe, Lubica Benusková, Glenn Blanchette, 2012, Australasian Conference on Artificial Intelligence.

Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing

Lubica Benusková, Matej Makula, L. Benusková, 2008, ICANN.

Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures

Lubica Benusková, Michal Cernanský, Matej Makula, 2007, Neural Networks.

Neural networks-based parametric testing of analog IC

Martin Margala, Viera Stopjaková, Lubica Benusková, 2002, 17th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2002. DFT 2002. Proceedings..

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2007, ICONIP.

Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience

Simei Gomes Wysoski, Nikola K. Kasabov, Vishal Jain, 2006, Int. J. Neural Syst..

Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries

Simei Gomes Wysoski, Nikola K. Kasabov, Vishal Jain, 2007, 2007 International Joint Conference on Neural Networks.

On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2006, ICANN.

Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner

Lubica Benusková, Michal Cernanský, 2001, ICANN.

Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery

Shaoning Pang, Nikola K. Kasabov, Vishal Jain, 2006, PRIB.

A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures

Martin Takác, Alistair Knott, Lubica Benusková, 2011, ICANN.

Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks

Lubica Benusková, Michal Cernanský, Matej Makula, 2004, SOFSEM.

Training Recurrent Connectionist Models on Symbolic Time Series

Lubica Benusková, Michal Cernanský, L. Benusková, 2008, ICONIP.

Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits

Viera Stopjaková, Lubica Benusková, D. Micusík, 2002, Neural Computing & Applications.

Evolving spiking neural networks for audiovisual information processing

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2010, Neural Networks.

Why is it hard to induce long-term depression?

Lubica Benusková, L. Benusková, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell

Lubica Benusková, Peter Jedlicka, Matús Tomko, 2020, ICANN.

STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity

Lubica Benusková, Wickliffe C. Abraham, W. Abraham, 2007, Journal of Computational Neuroscience.

Fast and adaptive network of spiking neurons for multi-view visual pattern recognition

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2008, Neurocomputing.

Interactive visualisation of oligomer frequency in DNA

Lubica Benusková, Matej Makula, 2009, Comput. Informatics.

Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries

Nikola K. Kasabov, Vishal Jain, Frances Joseph, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Improving the State Space Organization of Untrained Recurrent Networks

Lubica Benusková, Michal Cernanský, Matej Makula, 2008, ICONIP.

BRAIN GENE ONTOLOGY AND SIMULATION SYSTEM (BGOS) FOR A BETTER UNDERSTANDING OF THE BRAIN

Nikola K. Kasabov, Vishal Jain, Frances Joseph, 2007, Cybern. Syst..

Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory

Alistair Knott, Lubica Benusková, Mira Guise, 2013, Australasian Conference on Artificial Intelligence.

Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2010, Brain-Inspired Information Technology.

A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent “Heterosynaptic” LTD in the Dentate Gyrus In Vivo

Lubica Benusková, Wickliffe C. Abraham, Peter Jedlicka, 2015, PLoS Comput. Biol..

Enhanced polychronization in a spiking network with metaplasticity

Alistair Knott, Lubica Benusková, Mira Guise, 2015, Front. Comput. Neurosci..

Integrating evolving brain – gene ontology and connectionist-based system for modeling and knowledge discovery

Nikola K. Kasabov, Vishal Jain, Lubica Benusková, 2008 .

Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker

Lubica Benusková, L. Benusková, 1997, ICANN.

Computational neurogenetic modeling: integration of spiking neural networks, gene networks, and signal processing techniques

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2004, IEEE International Workshop on Biomedical Circuits and Systems, 2004..

Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery

Nikola K. Kasabov, Vishal Jain, Frances Joseph, 2008, Computational Intelligence in Medical Informatics.

A Bayesian Model of Polychronicity

Alistair Knott, Lubica Benusková, Mira Guise, 2014, Neural Computation.

Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2006, ACIVS.

Modeling L-LTP based on changes in concentration of pCREB transcription factor

Nikola K. Kasabov, Lubica Benusková, N. Kasabov, 2007, Neurocomputing.

Markovian architectural bias of recurrent neural networks

Peter Tiño, Lubica Benusková, Michal Cernanský, 2004, IEEE Transactions on Neural Networks.

Topology of Brain Functional Networks: Towards the Role of Genes

Lubica Benusková, Mária Markosová, Liz Franz, 2008, ICONIP.

Text-Independent Speaker Authentication with Spiking Neural Networks

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2007, ICANN.

Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations

Simei Gomes Wysoski, Nikola K. Kasabov, Lubica Benusková, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Computational simulation of dentate gyrus granule cell - The role of metaplasticity

Lubica Benusková, Nicholas Hananeia, L. Benusková, 2016, Neurocomputing.

Artificial Neural Network Models

Peter Tiño, Alessandro Sperduti, Lubica Benusková, 2015, Handbook of Computational Intelligence.

Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support

Russel Pears, Stephen G. MacDonell, Nikola K. Kasabov, 2008, Computational Intelligence in Biomedicine and Bioinformatics.