Raul C. Muresan
Raul C. Muresan
Transylvanian Institute of Neuroscience
Dirección de correo verificada de - Página principal
Citado por
Citado por
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
Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms
RC Mureşan
Neurocomputing 51, 487-493, 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
Membrane resonance enables stable and robust gamma oscillations
VV Moca, D Nikolić, W Singer, RC Mureşan
Cerebral cortex 24 (1), 119-142, 2014
Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits
RC Muresan, C Savin
Journal of neurophysiology 97 (3), 1911-1930, 2007
Time-frequency super-resolution with superlets
VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan
Nature communications 12 (1), 337, 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
Sources of bias in single‐trial normalization procedures
A Ciuparu, RC Mureşan
European Journal of Neuroscience 43 (7), 861-869, 2016
Visual exploration and object recognition by lattice deformation
VV Moca, I Ţincaş, L Melloni, RC Mureşan
PloS one 6 (7), e22831, 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
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
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
The “Neocortex” neural simulator a modern design
RC Mureşan, I Ignat
Proceedings of International Conference on Intelligent Engineering Systems, 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
Complex object recognition using a biologically plausible neural model
RC Mureşan
Advances in Simulation, Systems Theory and Systems Engineering, 163-168, 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
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
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
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
Superlets: time-frequency super-resolution using wavelet sets
VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan
bioRxiv, 583732, 2019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20