The oscillation score: an efficient method for estimating oscillation strength in neuronal activity RC Muresan, OF Jurjut, VV Moca, W Singer, D Nikolic Journal of neurophysiology 99 (3), 1333-1353, 2008 | 84 | 2008 |
Membrane resonance enables stable and robust gamma oscillations VV Moca, D Nikolić, W Singer, RC Mureşan Cerebral cortex 24 (1), 119-142, 2014 | 70 | 2014 |
Time-frequency super-resolution with superlets VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan Nature communications 12 (1), 1-18, 2021 | 27 | 2021 |
Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 22 | 2011 |
EEG under anesthesia—Feature extraction with TESPAR VV Moca, B Scheller, RC Mureşan, M Daunderer, G Pipa Computer methods and programs in biomedicine 95 (3), 191-202, 2009 | 17 | 2009 |
TESPAR coding study for speaker recognition E Lupu, VV Moca, PG Pop The 30th session of scientific presentations “Modern technologies in the XXI …, 2003 | 9 | 2003 |
Superlets: time-frequency super-resolution using wavelet sets VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan bioRxiv, 583732, 2019 | 7 | 2019 |
Properties of multivariate data investigated by fractal dimensionality D Nikolić, VV Moca, W Singer, RC Mureşan Journal of Neuroscience Methods 172 (1), 27-33, 2008 | 7 | 2008 |
Emergence of beta/gamma oscillations: ING, PING, and what about RING? VV Moca, RC Mureşan Bmc Neuroscience 12 (1), 1-2, 2011 | 6 | 2011 |
Real and modeled spike trains: where do they meet? VV Moca, D Nikolić, RC Mureşan International Conference on Artificial Neural Networks, 488-497, 2008 | 5 | 2008 |
Tespar a biometric time domain approach to speaker recognition V Moca Acta Technica Napocensis volume47, 2006 | 5 | 2006 |
Fractional superlets H Bârzan, VV Moca, AM Ichim, RC Muresan 2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021 | 4 | 2021 |
Environment for speaker recognition using speech coding E Lupu, V Moca, PG Pop Proc. Int. Conf. COMMUNICATIONS 2004, 3-5, 2004 | 4 | 2004 |
EEG processing with TESPAR for depth of anesthesia detection VV Moca, B Scheller, RC Mureşan, M Daunderer, G Pipa BMC Neuroscience 10 (1), 1-2, 2009 | 3 | 2009 |
TESPAR coding method evaluation in speaker recognition experiments VV Moca, E Lupu, PG Pop Trends in Speech Technology Proceedings of the 3rd Conference Speech …, 2005 | 3 | 2005 |
Space Breakdown Method A new approach for density-based clustering ER Ardelean, A Stanciu, M Dinsoreanu, R Potolea, C Lemnaru, VV Moca 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 2 | 2019 |
Time-Frequency Representations of Brain Oscillations: Which One Is Better? H Bârzan, AM Ichim, VV Moca, RC Mureşan Frontiers in Neuroinformatics, 25, 2022 | 1 | 2022 |
Discriminating legitimate oscillations from broadband transients VV Moca, RC Mureşan BMC Neuroscience 14 (1), 1-2, 2013 | 1 | 2013 |
Probing the visual system with visual hypotheses RC Mureşan, I Ţincaş, VV Moca, L Melloni BMC Neuroscience 10 (1), 1-1, 2009 | 1 | 2009 |
Extraction of Functional Brain Networks from EEG Signals in the Context of Visual Perception DA Dumitru, EB Ceuta, VV Moca, RC Mureșan, M Dînșoreanu 2022 IEEE International Conference on Automation, Quality and Testing …, 2022 | | 2022 |