Vasile Vlad Moca
Vasile Vlad Moca
Transylvanian Institute of Neuroscience
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Zitiert von
Zitiert von
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
Membrane resonance enables stable and robust gamma oscillations
VV Moca, D Nikolić, W Singer, RC Mureşan
Cerebral Cortex 24 (1), 119-142, 2014
Visual exploration and object recognition by lattice deformation
VV Moca, I Ţincaş, L Melloni, RC Mureşan
PloS one 6 (7), e22831, 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
TESPAR coding study for speaker recognition
E Lupu, VV Moca, PG Pop
The 30th session of scientific presentations “Modern technologies in the XXI …, 2003
Environment for speaker recognition using speech coding
E Lupu, V Moca, PG Pop
Proc. of Communications, 199-204, 2004
Tespar a biometric time domain approach to speaker recognition
V Moca
Acta Technica Napocensis volume47, 0
Real and modeled spike trains: where do they meet?
VV Moca, D Nikolić, RC Mureşan
International Conference on Artificial Neural Networks, 488-497, 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
Emergence of beta/gamma oscillations: ING, PING, and what about RING?
VV Moca, RC Mureşan
BMC neuroscience 12 (1), 1-2, 2011
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
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
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
Discriminating legitimate oscillations from broadband transients
VV Moca, RC Mureşan
BMC neuroscience 14 (S1), P286, 2013
Probing the visual system with visual hypotheses
RC Mureşan, I Ţincaş, VV Moca, L Melloni
BMC Neuroscience 10 (S1), P356, 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
Superlets: time-frequency super-resolution using wavelet sets
VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan
BioRxiv, 583732, 2019
Cumulative scientific report
VV Moca, G Medorian
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
Space Breakdown Method
ER Ardelean, R Potolea, A Stanciu, C Lemnaru, M Dinsoreanu, VV Moca
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