Research/art/teacher profile of a person
Name and surname:
prof. RNDr. Ľubica Beňušková, PhD.
Document type:
Research/art/teacher profile of a person
The name of the university:
Comenius University Bratislava
The seat of the university:
Šafárikovo námestie 6, 818 06 Bratislava

I. - Basic information

I.1 - Surname
Beňušková
I.2 - Name
Ľubica
I.3 - Degrees
Prof., RNDr., M.A., PhD.
I.4 - Year of birth
1958
I.5 - Name of the workplace
Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia
I.6 - Address of the workplace
Mlynská dolina, 84248 Bratislava, Slovakia
I.7 - Position
Professor
I.8 - E-mail address
lubica.benuskova@fmph.uniba.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/4517
I.10 - Name of the study field in which a person works at the university
Informatics
I.11 - ORCID iD
0000-0001-9804-0286

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.2 - Second degree of higher education
II.a - Name of the university or institution
Faculty of Mathematics and Physics, Comenius University in Bratislava, Slovakia / Vanderbilt University, Nashville, TN, USA
II.b - Year
1982 / 1993
II.c - Study field and programme
Physics, Physical Electronics / Psychology
II.3 - Third degree of higher education
II.a - Name of the university or institution
Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia
II.b - Year
1993
II.c - Study field and programme
Physics, Biophysics
II.4 - Associate professor
II.a - Name of the university or institution
Comenius University in Bratislava, Slovakia / University of Otago, New Zealand
II.b - Year
2002 / 2015
II.c - Study field and programme
Informatics / Computer Science
II.5 - Professor
II.a - Name of the university or institution
Comenius University in Bratislava, Slovakia
II.b - Year
2013
II.c - Study field and programme
Informatics
II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position III.b - Institution III.c - Duration
Professor Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia 2016 - onwards
Lecturer / Associate Professor University of Otago, Dunedin, New Zealand 2008 - 2015
Research Fellow Auckland University of Technology, Auckland, New Zealand 2003 - 2007
Associate Professor Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Slovakia 2001 - 2003
Senior Research Fellow Faculty of Electrotechnics and Informatics, Slovak University of Technology, Bratislava, Slovakia 1994 - 2001
Research Fellow Institute of Animal Biochemistry and Genetics, Slovak Academy of Sciences 1988 - 1994
Research Assistant University Hospital, Bratislava, Old City 1982 - 1988

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes
V.1.a - Name of the profile course V.1.b - Study programme V.1.c - Degree V.1.d - Field of study
Computational Cognitive Neuroscience Cognitive Science MSc Informatics
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
0
V.4.b - Diploma (second degree)
3
V.4.c - Dissertation (third degree)
0
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
0
V.4.b - Diploma (second degree)
20
V.4.c - Dissertation (third degree)
10
V.5 - Overview of other courses taught in the current academic year according to study programmes
V.5.a - Name of the course V.5.b - Study programme V.5.c - Degree V.5.d - Field of study
Introduction to Artificial Intelligence Applied Informatics BSc Informatics
Computational Neuroscience Cognitive Science MSc Informatics

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
127
VI.1.b - Over the last six years
11
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
60
VI.1.b - Over the last six years
4
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
2329
VI.1.b - Over the last six years
637
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
1056
VI.1.b - Over the last six years
134
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
39
VI.1.b - Over the last six years
4
VI.2 - The most significant research/artistic/other outputs
1

Tino P, Cernansky M, Benuskova L (2004) Markovian architectural bias of recurrent neural networks. IEEE Transactions on Neural Networks 15(1): 6-15. (Q1, IF=10.45) Number of citations: 212 (Google Scholar)

2

Wysoski SG, Benuskova L, Kasabov N (2010) Evolving spiking neural networks for audiovisual information processing. Neural Networks, 23(7): 819-835. (Q1, IF=8.05) Number of citations: 193 (Google Scholar)

3

Wysoski SG, Benuskova L, Kasabov N (2008) Fast and adaptive networks of spiking neurons for multi-view visual pattern recognition. Neurocomputing 71(13-15): 2563-2575. (Q1, IF=5.7) Number of citations: 137 (Google Scholar)

4

Benuskova L, Diamond ME, Ebner FF (1994) Dynamic synaptic modification threshold: Computational model of experience-dependent plasticity in adult rat barrel cortex. Proceedings of the National Academy of Sciences of the USA (PNAS), 91(11): 4791-4795. (Q1, IF=11.2) Number of citations: 63 (Google Scholar)

5

Benuskova L, Rema V, Armstrong-James M and Ebner FF (2001) Theory for normal and impaired experience-dependent plasticity in neocortex of adult rats. Proceedings of the National Academy of Sciences of the USA (PNAS), 98(5): 2797-2802. (Q1, IF=11.2) Number of citations: 35 (Google Scholar)

VI.3 - The most significant research/artistic/other outputs over the last six years
1

Tomko M, Benuskova L, Jedlicka P (2024) A voltage-based event-timing-dependent plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons. Journal of Computational Neuroscience, 52, pp. 125–131. doi: 10.1007/s10827-024-00868-0. (Q3, IF=1.2)

2

Tomko M, Benuskova L, Jedlicka P (2021) A new reduced-morphology model for CA1 pyramidal cells and its validation and comparison with other models using HippoUnit. Scientific Reports | Nature 11, 7615. doi: 10.1038/s41598-021-87002-7. (Q1, IF=4.38) Number of citations: 8 (Google Scholar)

3

Tomko M, Jedlicka P, Benuskova L (2020) Meta-STDP rule stabilizes synaptic weights under in vivo-like ongoing spontaneous activity in a computational model of CA1 pyramidal cell. In: Farkas I, Masulli P, Wermter S (eds) Artificial Neural Networks and Machine Learning – ICANN 2020. Springer, Lecture Notes in Computer Science, vol 12397, pp 670-680. (Q3, IF=1.27)

4

Markosova M, Rudolf B, Nather P, Benuskova L (2020) Network models for changing degree distributions of functional brain networks. Neural Networks World, 30(5), pp. 309-332. (Q4, IF=1.02)

5

Shirrafiardekani A, Frauendiener J, Moustafa AA, Benuskova L (2019) Computational examination of synaptic plasticity and metaplasticity in hippocampal dentate granule neurons. In: V. Cutsuridis, B.P. Graham, S. Cobb, I. Vida (Eds), Hippocampal Microcircuits: A Computational Modeler's Resource Book, 2nd Ed, Springer Nature Switzerland AG, pp. 701-737.

VI.4 - The most significant citations corresponding to the research/artistic/other outputs
1

Tino P , Cernansky M, Benuskova L (2004) : [o1] 2020 - Zhao, A. - Zhang, N. - Xi, M. - Sun, J. - Dong, M. - Robust H-infinity filtering for Markovian jumping static neural networks with time varying delays. - In: Journal of Algorithms and Computational Technology, Vol. 14, 2020 ; Art. No. 1748302620931340 ; SCI ; SCOPUS [o1] 2021 - Carta, A. - Sperduti, A. - Bacciu, D. - Encoding-based memory for recurrent neural networks. - In: Neurocomputing, Vol. 456, 2021 ; 407-420 ; SCI ; SCOPUS [o1] 2021 - Chen, Y. - Ren, J. - Zhao, X. - Xue, A. - State estimation of Markov jump neural networks with random delays by redundant channels. - In: Neurocomputing, Vol. 453, 2021 ; 493-501 ; SCOPUS [o1] 2021 - Shen, H. - Xing, M. - Wu, Z.- Cao, J. - Huang, T. - L-l State Estimation for Persistent Dwell-Time Switched Coupled Networks Subject to Round-Robin Protocol. - In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No. 5, 2021 ; art. no. 9108620, 2002-2014 ; SCI ; SCOPUS [o1] 2021 - Smith, Q. J. - Valverde, R. - A perceptron based neural network data analytics architecture for the detection of fraud in credit card transactions in financial legacy systems. - In: WSEAS Transactions on Systems and Control, Vol. 16, 2021 ; 358-374 ; SCOPUS

2

Wysoski SG, Benuskova L, Kasabov N (2010) : [o1] 2020 - Gupta, J. - Koppad, D. - A survey on Memristor and CMOS based Spiking Neural Networks. - In: Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020 [rNew York : IEEE, 2020 ; 1052-1058 ; SCOPUS [o1] 2020 - Lobo, J. L. - Oregi, I. - Bifet, A. - Del Ser, J. - Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. - In: Neural Networks, Vol. 123, 2020 ; 118-133 ; SCI ; SCOPUS [o1] 2020 - Rostro-Gonzalez, H. - Lauterio-Cruz, J. P. - Pottiez, O. - Modelling Neural Dynamics with Optics: A New Approach to Simulate Spiking Neurons through an Asynchronous Laser. - In: Electronics, Vol. 9, No. 11, 2020 ; Art. No. 1853 ; SCI ; SCOPUS [o1] 2020 - Xing, Y. - Di Caterina, G. - Soraghan, J. - A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition. - In: Frontiers in Neuroscience, Vol. 14, 2020 ; Art. No. 590164 ; SCI ; SCOPUS [o1] 2020 - Zhang, M. - Luo, X. - Chen, Y. - Wu, J. - Belatreche, A. - Pan, Z. - Qu, H. - Li, H. - An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. - In: IEEE Journal of Selected Topics in Signal Processing, Vol. 14, No. 3, 2020 ; 592-602 ; SCI ; SCOPUS

3

Wysoski SG, Benuskova L, Kasabov N (2008): [o1] 2020 - Salleh, A. S. M. - Hamed, H. N. A. - Isa, M. A. - Haron, H. - Hydrofluoroether Impurities-Chemical Detection Using a Deep Learning Laser Speckle Contrast Evolving Spiking Neural Network. - In: IEEE Access, Vol. 8, 2020 ; 216419-216436 ; SCI ; SCOPUS [o1] 2020 - Taherkhani, A. - Belatreche, A. - Li, Y. - Cosma, G. - Maguire, L. P. - McGinnity, T. M. - A review of learning in biologically plausible spiking neural networks. - In: Neural Networks, Vol. 122, 2020 ; 253-272 ; SCI ; SCOPUS [o1] 2020 - Wang, S. - Wang, L. - Kang, Z. – Qu, L. - Li, S. - Su, J. - A software-hardware coexploration framework for optimizing communication in neuromorphic processor. - In: Advanced Computer

Architecture, ACA 2020; Communications in Computer and Information Science, Vol. 1256 . - Singapore : Springer Nature, 2020 ; 87-100 ; SCOPUS [o1] 2020 - Yang, D. - Zhong, X. - Gu, D. - Peng, X. - Hu, H. - Unsupervised framework for depth estimation and camera motion prediction from video. - In: Neurocomputing, Vol. 385, 2020 ; 169-185 ; SCI ; SCOPUS [o1] 2020 - Zhou, Q. - Ren, C. - Qi, S. - An Imbalanced R-STDP Learning Rule in Spiking Neural Networks for Medical Image Classification. - In: IEEE Access, Vol. 8, 2020 ; s224162-224177 ; SCI ; SCOPUS

4

Benuskova L, Diamond ME and Ebner FF (1994): [o1] 2012 - Hulme, S. - Jones, O. - Ireland, D. - Abraham, W. - Calcium-dependent but action potential-independent BCM-like metaplasticity in the hippocampus. - In: Journal of Neuroscience, Vol. 32, No. 20, 2012 ; 6785-6794 ; SCI ; SCOPUS [o1] 2013 - Wen, J. - DeBlois, M. - Barth, A. - Initiation, labile, and stabilization phases of experience-dependent plasticity at neocortical synapses. - In: Journal of Neuroscience, Vol. 33, No. 19, 2013 ; 8483-8493 ; SCI ; SCOPUS [o1] 2017 - Yee, A. - Hsu, Y. - Chen, L. - A metaplasticity view of the interaction between homeostatic and hebbian plasticity. - In: Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 372, No. 1715, 2017 ; Art. No. 20160155 ; SCI ; SCOPUS [o1] 2018 - Chaudhary, R. - Rema, V. - Deficits in Behavioral Functions of Intact Barrel Cortex Following Lesions of Homotopic Contralateral Cortex. - In: Frontiers in Systems Neuroscience, Vol. 12, 2018 ; Art. No. 57 ; SCI ; SCOPUS [o1] 2019 - Yang, R. - Huang, H. M. - Guo, X. - Memristive Synapses and Neurons for Bioinspired Computing. - In: Advanced Electronic Materials, Vol. 5, No. 9, 2019 ; Art. No. 1900287 ; SCI ;

SCOPUS

5

Benuskova L et al (2001): [o1] 2004 - Catania, K. C. - Remple, F. E. - Tactile foveation in the star-nosed mole. - In: Brain Behavior and Evolution, Vol. 63, No. 1, 2004 ; 1-12 ; SCI ; SCOPUS [o1] 2004 - Mazza, M. - De Pinho, M. - Piqueira, J. R. C. - Roque, A. C. - A dynamical model of fast cortical reorganization. - In: Journal of Computational Neuroscience, Vol. 16, No. 2, 2004 ; 177-201 ; SCI ; SCOPUS [o1] 2006 - Miller, M. W. - Effect of prenatal exposure to ethanol on glutamate and GABA immunoreactivity in macaque somatosensory and motor cortices: Critical timing of exposure. - In: Neuroscience, Vol. 138, No. 1, 2006 ; 97-107 ; SCI ; SCOPUS [o1] 2009 - Hood, D. - Ramesh, A. - Aschner, M. - Polycyclic aromatic hydrocarbons: Exposure from emission products and from terrorist attacks on US targets -implications for developmental central nervous system toxicity. - In: Handbook of Toxicology of Chemical Warfare Agents . - San Diego : Elsevier, 2009 ; S. 229-243 ; BKCI-S ; SCOPUS [o1] 2017 - Gavin, D. P. - Grayson, D. R. - Varghese, S. P. - Guizzetti, M. - Chromatin Switches during Neural Cell Differentiation and Their Dysregulation by Prenatal Alcohol Exposure. - In: Genes, Vol. 8, No. 5, 2017 ; Art. No. 137 ; SCI ; SCOPUS

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
1

2017-2019, VEGA 1/0039/17: Complex networks and their application to real-world problems (Principal Investigator)

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VII.a - Activity, position VII.b - Name of the institution, board VII.c - Duration
Member Board of Master program in Cognitive Science 2018 - onwards
Member of the Editorial Board of the international scientific journal (http://www.nnw.cz/board.html) Neural Network World 2003 - onwards
Chair of the board of the Peter Fedor Fund (http://www.naturaoz.org/FondPetraFedora.html) Natura, o.z. 2001 - onwards

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

VIII.a - Name of the institution VIII.b - Address of the institution VIII.c - Duration (indicate the duration of stay) VIII.d - Mobility scheme, employment contract, other (describe)
CEEPUS Eotvos Lorand University, Budapest, Hungary 19.06.2017-24.06.2017 CEEPUS mobility
Vanderbilt University Nashville, TN, USA 07/1999 - 09/1999, 07/1998 - 09/1998, 07/1997 - 09/1997, 07/1996 - 09/1996 U.S.-Slovak Science and Technology Program
Brown University Providence, RI, USA 09/1996 U.S.-Slovak Science and Technology Program
SISSA Trieste, Italy 11/1995 -12/1995 SISSA travel grant
Vanderbilt University Nashville, TN, USA 09/1991 - 12/1993 Vanderbilt University postgraduate scholarship

IX. - Other relevant facts