| Time-frequency super-resolution with superlets VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan Nature communications 12 (1), 337, 2021 | 270 | 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 | 189 | 2012 |
| 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 | 109 | 2008 |
| Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms RC Mureşan Neurocomputing 51, 487-493, 2003 | 104 | 2003 |
| Membrane resonance enables stable and robust gamma oscillations VV Moca, D Nikolić, W Singer, RC Mureşan Cerebral cortex 24 (1), 119-142, 2014 | 87 | 2014 |
| The fractal brain: scale-invariance in structure and dynamics GF Grosu, AV Hopp, VV Moca, H Bârzan, A Ciuparu, M Ercsey-Ravasz, ... Cerebral Cortex 33 (8), 4574-4605, 2023 | 86 | 2023 |
| Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits RC Muresan, C Savin Journal of neurophysiology 97 (3), 1911-1930, 2007 | 73 | 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 | 64 | 2018 |
| Accuracy of six interpolation methods applied on pupil diameter data EL Dan, M Dînşoreanu, RC Mureşan 2020 IEEE international conference on automation, quality and testing …, 2020 | 51 | 2020 |
| Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures A Ciuparu, A Nagy-Dăbâcan, RC Mureşan Neurocomputing 384, 376-388, 2020 | 40 | 2020 |
| Sources of bias in single‐trial normalization procedures A Ciuparu, RC Mureşan European Journal of Neuroscience 43 (7), 861-869, 2016 | 38 | 2016 |
| A study of autoencoders as a feature extraction technique for spike sorting ER Ardelean, A Coporîie, AM Ichim, M Dînșoreanu, RC Mureșan Plos one 18 (3), e0282810, 2023 | 35 | 2023 |
| 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 | 34 | 2017 |
| Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 28 | 2011 |
| The gamma rhythm as a guardian of brain health AM Ichim, H Barzan, VV Moca, A Nagy-Dabacan, A Ciuparu, A Hapca, ... eLife 13, e100238, 2024 | 25 | 2024 |
| 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 |
| Fractional superlets H Bârzan, VV Moca, AM Ichim, RC Muresan 2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021 | 21 | 2021 |
| Time-frequency representations of brain oscillations: which one is better? H Bârzan, AM Ichim, VV Moca, RC Mureşan Frontiers in Neuroinformatics 16, 871904, 2022 | 20 | 2022 |
| The “Neocortex” neural simulator a modern design RC Mureşan, I Ignat Proceedings of International Conference on Intelligent Engineering Systems, 2004 | 17 | 2004 |
| 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 | 16 | 2017 |