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Vasile Vlad Moca
Vasile Vlad Moca
Transylvanian Institute of Neuroscience
Verified email at tins.ro
Title
Cited by
Cited by
Year
Time-frequency super-resolution with superlets
VV Moca, H Bārzan, A Nagy-Dăbācan, RC Mureșan
Nature communications 12 (1), 337, 2021
1222021
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
902008
Membrane resonance enables stable and robust gamma oscillations
VV Moca, D Nikolić, W Singer, RC Mureşan
Cerebral cortex 24 (1), 119-142, 2014
802014
The fractal brain: scale-invariance in structure and dynamics
GF Grosu, AV Hopp, VV Moca, H Bārzan, A Ciuparu, M Ercsey-Ravasz, ...
Cerebral Cortex 33 (8), 4574-4605, 2023
252023
Visual exploration and object recognition by lattice deformation
VV Moca, I Ţincaş, L Melloni, RC Mureşan
PloS one 6 (7), e22831, 2011
242011
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
212009
Fractional superlets
H Bārzan, VV Moca, AM Ichim, RC Muresan
2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021
112021
Superlets: time-frequency super-resolution using wavelet sets
VV Moca, A Nagy-Dăbācan, H Bārzan, RC Mureşan
bioRxiv, 583732, 2019
92019
TESPAR coding study for speaker recognition
E Lupu, VV Moca, PG Pop
The 30th session of scientific presentations “Modern technologies in the XXI …, 2003
92003
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
82008
Time-Frequency representations of brain oscillations: which one is better?
H Bārzan, AM Ichim, VV Moca, RC Mureşan
Frontiers in Neuroinformatics 16, 25, 2022
72022
Emergence of beta/gamma oscillations: ING, PING, and what about RING?
VV Moca, RC Mureşan
Bmc Neuroscience 12 (Suppl 1), P230, 2011
72011
Environment for speaker recognition using speech coding
E Lupu, V Moca, PG Pop
Proc. of Communications, 199-204, 2004
72004
Real and modeled spike trains: where do they meet?
VV Moca, D Nikolić, RC Mureşan
International Conference on Artificial Neural Networks, 488-497, 2008
52008
Mures, an RC (2021) Time-frequency super-resolution with superlets
VV Moca, H Bārzan, A Nagy-Dabācan
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
42019
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
32009
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
32005
Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes
DB Mureșan, RD Ciure, ER Ardelean, VV Moca, RC Mureșan, M Dīnș
2022 IEEE 18th International Conference on Intelligent Computer …, 2022
22022
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