| 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 | 72 | 2008 |
| Membrane resonance enables stable and robust gamma oscillations VV Moca, D Nikolić, W Singer, RC Mureşan Cerebral Cortex 24 (1), 119-142, 2014 | 55 | 2014 |
| Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 16 | 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 | 14 | 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 |
| Environment for speaker recognition using speech coding E Lupu, V Moca, PG Pop Proc. of Communications, 199-204, 2004 | 5 | 2004 |
| Tespar a biometric time domain approach to speaker recognition V Moca Acta Technica Napocensis volume47, 0 | 5 | |
| Emergence of beta/gamma oscillations: ING, PING, and what about RING? VV Moca, RC Mureşan BMC neuroscience 12 (1), 1-2, 2011 | 4 | 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 | 4 | 2008 |
| 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 | 4 | 2008 |
| 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 | 2 | 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 | 1 | 2019 |
| Superlets: time-frequency super-resolution using wavelet sets VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan BioRxiv, 583732, 2019 | 1 | 2019 |
| Discriminating legitimate oscillations from broadband transients VV Moca, RC Mureşan BMC neuroscience 14 (S1), P286, 2013 | 1 | 2013 |
| Probing the visual system with visual hypotheses RC Mureşan, I Ţincaş, VV Moca, L Melloni BMC Neuroscience 10 (S1), P356, 2009 | 1 | 2009 |
| Task predictability determines knowledge acquisition during object recognition C Gal, VV Moca, I Tincas, ML Smith, T Gliga, RC Mureşan PLOS Biology 15 (11), e1002618, 2019 | | 2019 |
| Cumulative scientific report VV Moca, G Medorian | | 2017 |
| Volume contents Volume 172 (2008) Y Aihara, BS Jahromi, R Yassari, M Takahashi, RL Macdonald, S Xu, ... Journal of Neuroscience Methods 172, 323-324, 2008 | | 2008 |
| Fractional Superlets H Bârzan, VV Moca, RC Mureșan, AM Ichim | | |
Raul C. MuresanTransylvanian Institute of NeuroscienceBestätigte E-Mail-Adresse bei tins.ro
