Lubica Benusková

17 papers B 1C 2Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2020 — conf
Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell.
ICANN (2)
Matús Tomko, Peter Jedlicka, Lubica Benusková
2011 — conf
A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures.
ICANN (2)
Martin Takác, Lubica Benusková, Alistair Knott
2011 J jnl
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks
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
2009 J jnl
Interactive visualisation of oligomer frequency in DNA.
Comput. Informatics
Matej Makula, Lubica Benusková
2008 — conf
Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing.
ICANN (2)
Matej Makula, Lubica Benusková
2008 J jnl
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition.
Neurocomputing
Simei Gomes Wysoski, Lubica Benusková, Nikola K. Kasabov
2008 — conf
Improving the State Space Organization of Untrained Recurrent Networks.
ICONIP (1)
Michal Cernanský, Matej Makula, Lubica Benusková
2008 — conf
Topology of Brain Functional Networks: Towards the Role of Genes.
ICONIP (1)
Mária Markosová, Liz Franz, Lubica Benusková
2008 — conf
Training Recurrent Connectionist Models on Symbolic Time Series.
ICONIP (1)
Michal Cernanský, Lubica Benusková
2007 J jnl
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures.
Neural Networks
Michal Cernanský, Matej Makula, Lubica Benusková
2004 B conf
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks.
SOFSEM
Matej Makula, Michal Cernanský, Lubica Benusková
2004 J jnl
Markovian architectural bias of recurrent neural networks.
IEEE Trans. Neural Networks
Peter Tiño, Michal Cernanský, Lubica Benusková
2002 J jnl
Application of Feed-forward Artificial Neural Networks to the Identification of Defective Analog Integrated Circuits.
Neural Comput. Appl.
Daniel Micusík, Viera Stopjaková, Lubica Benusková
2002 — conf
Neural Networks-Based Parametric Testing of Analog IC.
DFT
Viera Stopjaková, Daniel Micusík, Lubica Benusková, Martin Margala
2001 C conf
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner.
ICANN
Michal Cernanský, Lubica Benusková
2000 — conf
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition.
IJCNN (2)
Peter Tiño, Michal Stancík, Lubica Benusková
1997 C conf
Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker.
ICANN
Lubica Benusková