| Time-frequency super-resolution with superlets VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan Nature communications 12 (1), 337, 2021 | 141 | 2021 |
| 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 | 95 | 2008 |
| Membrane resonance enables stable and robust gamma oscillations VV Moca, D Nikolić, W Singer, RC Mureşan Cerebral cortex 24 (1), 119-142, 2014 | 81 | 2014 |
| The fractal brain: scale-invariance in structure and dynamics GF Grosu, AV Hopp, VV Moca, H Bârzan, A Ciuparu, M Ercsey-Ravasz, ... Cerebral Cortex 33 (8), 4574-4605, 2023 | 31 | 2023 |
| Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 25 | 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 | 21 | 2009 |
| Fractional superlets H Bârzan, VV Moca, AM Ichim, RC Muresan 2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021 | 12 | 2021 |
| Superlets: time-frequency super-resolution using wavelet sets VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan bioRxiv, 583732, 2019 | 10 | 2019 |
| 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 |
| Time-frequency representations of brain oscillations: which one is better? H Bârzan, AM Ichim, VV Moca, RC Mureşan Frontiers in Neuroinformatics 16, 871904, 2022 | 8 | 2022 |
| Emergence of beta/gamma oscillations: ING, PING, and what about RING? VV Moca, RC Mureşan Bmc Neuroscience 12 (Suppl 1), P230, 2011 | 7 | 2011 |
| 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 |
| Environment for speaker recognition using speech coding E Lupu, V Moca, PG Pop Proc. of Communications, 199-204, 2004 | 7 | 2004 |
| 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 |
| Mures, an RC (2021) Time-frequency super-resolution with superlets VV Moca, H Bârzan, A Nagy-Dabâcan Nat Commun 12, 337, 0 | 5 | |
| 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 | 4 | 2019 |
| Tespar a biometric time domain approach to speaker recognition V Moca Acta Technica Napocensis volume47, 0 | 4 | |
| EEG processing with TESPAR for depth of anesthesia detection VV Moca, B Scheller, RC Mureşan, M Daunderer, G Pipa BMC Neuroscience 10 (Suppl 1), P68, 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 |
| Sharp detection of oscillation packets in rich time-frequency representations of neural signals ER Ardelean, H Bârzan, AM Ichim, RC Mureşan, VV Moca Frontiers in Human Neuroscience 17, 1112415, 2023 | 2 | 2023 |
Raul C. MuresanTransylvanian Institute of Neuroscience在 tins.ro 的电子邮件经过验证
