Lubica Benusková
Affiliations:- University of Otago, Dunedin, New Zealand
According to our database1,
Lubica Benusková
authored at least 44 papers
between 1997 and 2020.
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Bibliography
2020
Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2016
Neurocomputing, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus <i>In Vivo</i>.
PLoS Comput. Biol., 2015
Frontiers Comput. Neurosci., 2015
2014
2013
Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
IEEE Trans. Neural Networks, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Proceedings of the Brain-Inspired Information Technology, 2010
Neural Networks, 2010
2009
2008
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008
Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery.
Proceedings of the Computational Intelligence in Medical Informatics, 2008
Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery.
Neural Networks, 2008
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition.
Neurocomputing, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing.
Proceedings of the Artificial Neural Networks, 2008
2007
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures.
Neural Networks, 2007
STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity.
J. Comput. Neurosci., 2007
Neurocomputing, 2007
Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain.
Cybern. Syst., 2007
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience.
Int. J. Neural Syst., 2006
Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations.
Proceedings of the International Joint Conference on Neural Networks, 2006
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition.
Proceedings of the Artificial Neural Networks, 2006
Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006
2005
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
IEEE Trans. Neural Networks, 2004
Proceedings of the SOFSEM 2004: Theory and Practice of Computer Science, 2004
2002
Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits.
Neural Comput. Appl., 2002
Proceedings of the 17th IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT 2002), 2002
2001
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner.
Proceedings of the Artificial Neural Networks, 2001
2000
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1997
Proceedings of the Artificial Neural Networks, 1997