Lubica Benuskova
Lubica Benuskova
Comenius University in Bratislava, Faculty of Mathematics, Physics and Informatics
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Citado por
Citado por
Introduction to neural networks theory (Úvod do teórie neurónových sietí, in Slovak)
V Kvasnička, Ľ Beňušková, J Pospíchal, I Farkaš, P Tiňo, V Kráľ
Iris, Bratislava, 1997
Markovian architectural bias of recurrent neural networks
P Tino, M Cernansky, L Benuskova
Neural Networks, IEEE Transactions on 15 (1), 6-15, 2004
Evolving spiking neural networks for audiovisual information processing
SG Wysoski, L Benuskova, N Kasabov
Neural Networks 23 (7), 819-835, 2010
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition
SG Wysoski, L Benuskova, N Kasabov
Neurocomputing 71 (13-15), 2563-2575, 2008
Computational neurogenetic modeling
L Benuskova, N Kasabov
Springer Publishing Company, Incorporated, 2007
On-line learning with structural adaptation in a network of spiking neurons for visual pattern recognition
S Wysoski, L Benuskova, N Kasabov
Artificial Neural Networks–ICANN 2006, 61-70, 2006
Computational neurogenetics
N Kasabov, L Benuskova
Journal of Computational and Theoretical Nanoscience 1 (1), 47-61, 2004
Dynamic synaptic modification threshold: computational model of experience-dependent plasticity in adult rat barrel cortex
L Benuskova, ME Diamond, FF Ebner
Proceedings of the National Academy of Sciences 91 (11), 4791, 1994
Artificial neural network models
P Tino, L Benuskova, A Sperduti
Springer Handbook of Computational Intelligence, 455-471, 2015
STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity
L Benuskova, WC Abraham
Journal of Computational Neuroscience 22 (2), 129-133, 2007
" Heterosynaptic" LTD in the Dentate Gyrus of Anesthetized Rat Requires Homosynaptic Activity
WC Abraham, B Logan, A Wolff, L Benuskova
Journal of neurophysiology 98 (2), 1048-1051, 2007
Adaptive learning procedure for a network of spiking neurons and visual pattern recognition
S Wysoski, L Benuskova, N Kasabov
Advanced Concepts for Intelligent Vision Systems, 1133-1142, 2006
Simple recurrent network trained by RTRL and extended Kalman filter algorithms
M Cernansky, L Benuskova
Neural Network World 13 (3), 223-234, 2003
Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation
M Takac, L Benuskova, A Knott
Cognition 125 (2), 288-308, 2012
The age-related posterior-anterior shift as revealed by voxelwise analysis of functional brain networks
P McCarthy, L Benuskova, EA Franz
Frontiers in aging neuroscience 6, 301, 2014
A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent “Heterosynaptic” LTD in the Dentate Gyrus In Vivo
P Jedlicka, L Benuskova, WC Abraham
PLoS computational biology 11 (11), e1004588, 2015
Computational neurogenetic modelling: a pathway to new discoveries in genetic neuroscience
L Benuskova, V Jain, SG Wysoski, NK Kasabov
International Journal of Neural Systems 16 (3), 215-226, 2006
Theory for normal and impaired experience-dependent plasticity in neocortex of adult rats
L Beňušková, V Rema, M Armstrong-James, FF Ebner
Proceedings of the National Academy of Sciences 98 (5), 2797, 2001
Kognitívne vedy
J Rybár, L Beňušková, V Kvasnička
Kalligram, 2002
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures
M Cernansky, M Makula, L Benuskova
Neural networks 20 (2), 236-244, 2007
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