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ORCIDLubica Benusková
Person information
- affiliation: University of Otago, Dunedin, New Zealand
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2020 – today
- 2024
[j17]Matús Tomko
, Lubica Benuskova, Peter Jedlicka:
A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons. J. Comput. Neurosci. 52(2): 125-131 (2024)- 2020
- [c24]Matús Tomko, Peter Jedlicka, Lubica Benusková:
Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell. ICANN (2) 2020: 670-680
2010 – 2019
- 2016
- [j16]Nicholas Hananeia, Lubica Benuskova:
Computational simulation of dentate gyrus granule cell - The role of metaplasticity. Neurocomputing 175: 300-309 (2016) - 2015
- [j15]Mira Guise, Alistair Knott, Lubica Benuskova:
Enhanced polychronization in a spiking network with metaplasticity. Frontiers Comput. Neurosci. 9: 9 (2015) - [j14]Peter Jedlicka, Lubica Benuskova, Wickliffe C. Abraham:
A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. PLoS Comput. Biol. 11(11) (2015) - [p4]Peter Tiño, Lubica Benuskova, Alessandro Sperduti:
Artificial Neural Network Models. Handbook of Computational Intelligence 2015: 455-471 - 2014
- [j13]Mira Guise, Alistair Knott, Lubica Benuskova:
A Bayesian Model of Polychronicity. Neural Comput. 26(9): 2052-2073 (2014) - 2013
- [c23]Mira Guise, Alistair Knott, Lubica Benuskova:
Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory. Australasian Conference on Artificial Intelligence 2013: 86-97 - 2012
- [c22]Glenn Blanchette, Richard A. O'Keefe, Lubica Benuskova:
Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm. Australasian Conference on Artificial Intelligence 2012: 300-312 - [c21]Lubica Benuskova:
Why is it hard to induce long-term depression? IJCNN 2012: 1-7 - [c20]Gonzalo S. Nido, Joanna M. Williams, Lubica Benuskova:
Bistable properties of a memory-related gene regulatory network. IJCNN 2012: 1-6 - 2011
- [j12]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, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso:
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22(1): 1-7 (2011) - [c19]Martin Takác, Lubica Benusková, Alistair Knott:
A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures. ICANN (2) 2011: 341-348 - 2010
- [j11]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
Evolving spiking neural networks for audiovisual information processing. Neural Networks 23(7): 819-835 (2010) - [p3]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing. Brain-Inspired Information Technology 2010: 15-27
2000 – 2009
- 2009
- [j10]Matej Makula, Lubica Benusková:
Interactive visualisation of oligomer frequency in DNA. Comput. Informatics 28(5): 695-710 (2009) - 2008
- [j9]Simei Gomes Wysoski, Lubica Benusková, Nikola K. Kasabov:
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition. Neurocomputing 71(13-15): 2563-2575 (2008) - [j8]Nikola K. Kasabov, Vishal Jain, Lubica Benuskova:
Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. Neural Networks 21(2-3): 266-275 (2008) - [c18]Matej Makula, Lubica Benusková:
Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing. ICANN (2) 2008: 577-586 - [c17]Mária Markosová, Liz Franz, Lubica Benusková:
Topology of Brain Functional Networks: Towards the Role of Genes. ICONIP (1) 2008: 111-118 - [c16]Michal Cernanský, Lubica Benusková:
Training Recurrent Connectionist Models on Symbolic Time Series. ICONIP (1) 2008: 285-292 - [c15]Michal Cernanský, Matej Makula, Lubica Benusková:
Improving the State Space Organization of Untrained Recurrent Networks. ICONIP (1) 2008: 671-678 - [p2]Nikola K. Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell:
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics 2008: 93-116 - [p1]Nikola K. Kasabov, Vishal Jain, Lubica Benuskova, Paulo C. M. Gottgtroy, Frances Joseph:
Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery. Computational Intelligence in Medical Informatics 2008: 221-234 - 2007
- [j7]Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph:
Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain. Cybern. Syst. 38(5): 495-508 (2007) - [j6]Lubica Benuskova, Nikola K. Kasabov:
Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007) - [j5]Lubica Benuskova, Wickliffe C. Abraham:
STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity. J. Comput. Neurosci. 22(2): 129-133 (2007) - [j4]Michal Cernanský, Matej Makula, Lubica Benusková:
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures. Neural Networks 20(2): 236-244 (2007) - [c14]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767 - [c13]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415 - [c12]Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph:
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. IJCNN 2007: 131-135 - 2006
- [j3]Lubica Benuskova, Vishal Jain, Simei Gomes Wysoski, Nikola K. Kasabov:
Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. Int. J. Neural Syst. 16(3): 215-226 (2006) - [c11]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. ACIVS 2006: 1133-1142 - [c10]Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph:
Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. HIS 2006: 13 - [c9]Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. ICANN (1) 2006: 61-70 - [c8]Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov:
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN 2006: 4638-4644 - [c7]Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon, Nikola K. Kasabov:
Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. PRIB 2006: 163-173 - 2005
- [c6]Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski:
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. ICANN (2) 2005: 509-514 - 2004
- [j2]Peter Tiño, Michal Cernanský, Lubica Benusková:
Markovian architectural bias of recurrent neural networks. IEEE Trans. Neural Networks 15(1): 6-15 (2004) - [c5]Matej Makula, Michal Cernanský, Lubica Benusková:
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks. SOFSEM 2004: 257-264 - 2002
- [j1]Daniel Micusík, Viera Stopjaková, Lubica Benusková:
Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits. Neural Comput. Appl. 11(1): 71-79 (2002) - [c4]Viera Stopjaková, Daniel Micusík, Lubica Benusková, Martin Margala:
Neural Networks-Based Parametric Testing of Analog IC. DFT 2002: 408-418 - 2001
- [c3]Michal Cernanský, Lubica Benusková:
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner. ICANN 2001: 737-742 - 2000
- [c2]Peter Tiño, Michal Stancík, Lubica Benusková:
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition. IJCNN (2) 2000: 265-270
1990 – 1999
- 1997
- [c1]Lubica Benusková:
Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker. ICANN 1997: 127-132
Coauthor Index
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