Vasile Vlad Moca
Vasile Vlad Moca
Transylvanian Institute of Neuroscience
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Cited by
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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
Time-frequency super-resolution with superlets
VV Moca, H Bārzan, A Nagy-Dăbācan, RC Mureșan
Nature communications 12 (1), 1-18, 2021
TESPAR coding study for speaker recognition
E Lupu, VV Moca, PG Pop
The 30th session of scientific presentations “Modern technologies in the XXI …, 2003
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
Superlets: time-frequency super-resolution using wavelet sets
VV Moca, A Nagy-Dăbācan, H Bārzan, RC Mureşan
bioRxiv, 583732, 2019
Real and modeled spike trains: where do they meet?
VV Moca, D Nikolić, RC Mureşan
International Conference on Artificial Neural Networks, 488-497, 2008
Tespar a biometric time domain approach to speaker recognition
V Moca
Acta Technica Napocensis volume47, 0
Environment for speaker recognition using speech coding
E Lupu, V Moca, PG Pop
Proc. Int. Conf. COMMUNICATIONS 2004, 3-5, 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
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
Fractional Superlets
H Bārzan, VV Moca, AM Ichim, RC Muresan
2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021
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 (1), 1-2, 2013
Probing the visual system with visual hypotheses
RC Mureşan, I Ţincaş, VV Moca, L Melloni
BMC Neuroscience 10 (1), 1-1, 2009
Method, human machine interface, machine computing unit and computer programs to control at least one actuator to carry out at least one task
RC Mureşan, VV Moca, B Harald
US Patent 11,157,082, 2021
Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction
I Onofrei, A Sălăgean, N Sīrca, VV Moca, A Nagy-Dăbācan, RC Muresan, ...
2020 IEEE 16th International Conference on Intelligent Computer …, 2020
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