Time-frequency super-resolution with superlets VV Moca, H Bārzan, A Nagy-Dăbācan, RC Mureșan Nature communications 12 (1), 337, 2021 | 160 | 2021 |
Scaled correlation analysis: A better way to compute a cross‐correlogram D Nikolić, RC Mureşan, W Feng, W Singer European Journal of Neuroscience 35 (5), 742-762, 2012 | 152 | 2012 |
Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms RC Mureşan Neurocomputing 51, 487-493, 2003 | 105 | 2003 |
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 |
Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits RC Muresan, C Savin Journal of neurophysiology 97 (3), 1911-1930, 2007 | 71 | 2007 |
Depdc5 knockdown causes mTOR‐dependent motor hyperactivity in zebrafish H de Calbiac, A Dabacan, E Marsan, H Tostivint, G Devienne, S Ishida, ... Annals of clinical and translational neurology 5 (5), 510-523, 2018 | 52 | 2018 |
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 | 36 | 2023 |
Accuracy of six interpolation methods applied on pupil diameter data EL Dan, M Dīnşoreanu, RC Mureşan 2020 IEEE international conference on automation, quality and testing …, 2020 | 33 | 2020 |
Sources of bias in single‐trial normalization procedures A Ciuparu, RC Mureşan European Journal of Neuroscience 43 (7), 861-869, 2016 | 32 | 2016 |
Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures A Ciuparu, A Nagy-Dăbācan, RC Mureşan Neurocomputing 384, 376-388, 2020 | 29 | 2020 |
Artifact detection in EEG using machine learning E Nedelcu, R Portase, R Tolas, R Muresan, M Dinsoreanu, R Potolea 2017 13th IEEE International Conference on Intelligent Computer …, 2017 | 26 | 2017 |
Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 26 | 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 | 22 | 2009 |
The “Neocortex” neural simulator a modern design RC Mureşan, I Ignat Proceedings of International Conference on Intelligent Engineering Systems, 2004 | 17 | 2004 |
Fractional superlets H Bārzan, VV Moca, AM Ichim, RC Muresan 2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021 | 16 | 2021 |
Classification of EEG signals in an object recognition task ID Rus, P Marc, M Dinsoreanu, R Potolea, RC Muresan 2017 13th IEEE International Conference on Intelligent Computer …, 2017 | 15 | 2017 |
A color-based visualization technique for multielectrode spike trains OF Jurjuţ, D Nikolić, G Pipa, W Singer, D Metzler, RC Mureşan Journal of neurophysiology 102 (6), 3766-3778, 2009 | 15 | 2009 |
Timescales of multineuronal activity patterns reflect temporal structure of visual stimuli OF Jurjuţ, D Nikolić, W Singer, S Yu, MN Havenith, RC Mureşan PLoS One 6 (2), e16758, 2011 | 14 | 2011 |
Complex object recognition using a biologically plausible neural model RC Mureşan Advances in Simulation, Systems Theory and Systems Engineering, 163-168, 2002 | 14 | 2002 |