Articles with public access mandates - Raul C. MuresanLearn more
Not available anywhere: 1
Behavioral and physiological analysis in a zebrafish model of epilepsy
H de Calbiac, A Dabacan, R Muresan, E Kabashi, S Ciura
JoVE (Journal of Visualized Experiments), e58837, 2021
Mandates: US National Science Foundation, European Commission
Available somewhere: 42
Time-frequency super-resolution with superlets
VV Moca, H Bârzan, A Nagy-Dăbâcan, RC Mureșan
Nature communications 12 (1), 337, 2021
Mandates: US National Science Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation
Membrane resonance enables stable and robust gamma oscillations
VV Moca, D Nikolić, W Singer, RC Mureşan
Cerebral cortex 24 (1), 119-142, 2014
Mandates: German Research Foundation
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
Mandates: Fondazione Telethon, Italy
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
Mandates: European Commission
Sources of bias in single‐trial normalization procedures
A Ciuparu, RC Mureşan
European Journal of Neuroscience 43 (7), 861-869, 2016
Mandates: Volkswagen Foundation
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
Mandates: US National Science Foundation, European Commission
Fractional superlets
H Bârzan, VV Moca, AM Ichim, RC Muresan
2020 28th European Signal Processing Conference (EUSIPCO), 2220-2224, 2021
Mandates: US National Science Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: European Commission
Superlets: time-frequency super-resolution using wavelet sets
VV Moca, A Nagy-Dăbâcan, H Bârzan, RC Mureşan
bioRxiv, 583732, 2019
Mandates: US National Science Foundation, European Commission
Time-frequency representations of brain oscillations: which one is better?
H Bârzan, AM Ichim, VV Moca, RC Mureşan
Frontiers in Neuroinformatics 16, 871904, 2022
Mandates: European Commission
Hold your methods! how multineuronal firing ensembles can be studied using classical spike-train analysis techniques
OF Jurjuţ, M Gheorghiu, W Singer, D Nikolić, RC Mureşan
Frontiers in systems neuroscience 13, 21, 2019
Mandates: US National Science Foundation, European Commission
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
Mandates: German Research Foundation
Enhancing the classification of EEG signals using Wasserstein generative adversarial networks
VM Petruţiu, LD Palcu, C Lemnaru, M Dînşoreanu, R Potolea, ...
2020 IEEE 16th International Conference on Intelligent Computer …, 2020
Mandates: US National Science Foundation
Real and modeled spike trains: where do they meet?
VV Moca, D Nikolić, RC Mureşan
International Conference on Artificial Neural Networks, 488-497, 2008
Mandates: German Research Foundation
Machine Learning-Assisted Detection of Action Potentials in Extracellular Multi-Unit Recordings
H Bârzan, AM Ichim, RC Mureşan
2020 IEEE International Conference on Automation, Quality and Testing …, 2020
Mandates: US National Science Foundation
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