Lubica Benusková

According to our database1, Lubica Benusková authored at least 44 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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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
Computational simulation of dentate gyrus granule cell - The role of metaplasticity.
Neurocomputing, 2016

2015
Artificial Neural Network Models.
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

Enhanced polychronization in a spiking network with metaplasticity.
Frontiers Comput. Neurosci., 2015

2014
A Bayesian Model of Polychronicity.
Neural Comput., 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
Bistable properties of a memory-related gene regulatory network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Why is it hard to induce long-term depression?
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks, 2011

A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing.
Proceedings of the Brain-Inspired Information Technology, 2010

Evolving spiking neural networks for audiovisual information processing.
Neural Networks, 2010

2009
Interactive visualisation of oligomer frequency in DNA.
Comput. Informatics, 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

Topology of Brain Functional Networks: Towards the Role of Genes.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Improving the State Space Organization of Untrained Recurrent Networks.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Training Recurrent Connectionist Models on Symbolic Time Series.
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

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

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Text-Independent Speaker Authentication with Spiking Neural Networks.
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
Markovian architectural bias of recurrent neural networks.
IEEE Trans. Neural Networks, 2004

Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks.
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

Neural Networks-Based Parametric Testing of Analog IC.
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
Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker.
Proceedings of the Artificial Neural Networks, 1997


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