| 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 | 142 | 2012 |
| Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms RC Mureşan Neurocomputing 51, 487-493, 2003 | 100 | 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 | 85 | 2008 |
| Membrane resonance enables stable and robust gamma oscillations VV Moca, D Nikolić, W Singer, RC Mureşan Cerebral cortex 24 (1), 119-142, 2014 | 74 | 2014 |
| Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits RC Muresan, C Savin Journal of neurophysiology 97 (3), 1911-1930, 2007 | 66 | 2007 |
| Time-frequency super-resolution with superlets VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan Nature communications 12 (1), 337, 2021 | 49 | 2021 |
| 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 | 36 | 2018 |
| Sources of bias in single‐trial normalization procedures A Ciuparu, RC Mureşan European Journal of Neuroscience 43 (7), 861-869, 2016 | 24 | 2016 |
| Visual exploration and object recognition by lattice deformation VV Moca, I Ţincaş, L Melloni, RC Mureşan PloS one 6 (7), e22831, 2011 | 22 | 2011 |
| 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 | 20 | 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 | 19 | 2017 |
| 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 | 19 | 2009 |
| The “Neocortex” neural simulator a modern design RC Mureşan, I Ignat Proceedings of International Conference on Intelligent Engineering Systems, 2004 | 17 | 2004 |
| 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 | 13 | 2020 |
| Complex object recognition using a biologically plausible neural model RC Mureşan Advances in Simulation, Systems Theory and Systems Engineering, 163-168, 2002 | 13 | 2002 |
| 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 | 11 | 2017 |
| 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 | 11 | 2011 |
| 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 | 11 | 2009 |
| Transfer entropy as a tool for reconstructing interaction delays in neural signals NC Pampu, R Vicente, RC Mureşan, V Priesemann, F Siebenhühner, ... International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4, 2013 | 10 | 2013 |
| Superlets: time-frequency super-resolution using wavelet sets VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan bioRxiv, 583732, 2019 | 9 | 2019 |
Vasile Vlad MocaTransylvanian Institute of NeuroscienceDirección de correo verificada de tins.ro
