Raul Cristian Muresan

According to our database, Raul Cristian Muresan authored at least 33 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adapting Supervised Machine Learning for Analysis of Neurobiological Signals.

Andrei Ciuparu, Ann Christin Garvert, Koen Gerard Alois Vervaeke, Raul Cristian Muresan

Proceedings of the IEEE International Conference on Automation, 2024

2023

Improved space breakdown method - A robust clustering technique for spike sorting.

Eugen-Richard Ardelean, Ana-Maria Ichim, Mihaela Dînsoreanu, Raul Cristian Muresan

Frontiers Comput. Neurosci., February, 2023

Symbolic Analysis Based Pipeline for EEG Data.

Oana Miruna Moisa, Ileana Pop, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

Spike sorting using Superlets: Identifying feature importance through perturbation.

Eugen-Richard Ardelean, Razvan-Dan Terec, Codruta-Maria Maries, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

Burst detection in neuronal activity.

Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

2022

Time-Frequency Representations of Brain Oscillations: Which One Is Better?

Harald Bârzan, Ana-Maria Ichim, Vasile Vlad Moca, Raul Cristian Muresan

Frontiers Neuroinformatics, 2022

Local Field Potential Microstate Analysis.

Andreea Salagean, Andreea-Madalina Pasc, Eugen-Richard Ardelean, Raul Cristian Muresan, Vasile V. Moca, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru

Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes.

Denisa Bianca Muresan, Raluca-Dana Ciure, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Extraction of Functional Brain Networks from EEG Signals in the Context of Visual Perception.

Dan A. Dumitru, Emanuela B. Ceuta, Vasile V. Moca, Raul Cristian Muresan, Mihaela Dînsoreanu

Proceedings of the IEEE International Conference on Automation, 2022

2021

A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials.

Alexandru Dodon, Marius Adrian Calugar, Rodica Potolea, Camelia Lemnaru, Mihaela Dînsoreanu, Vasile V. Moca, Raul Cristian Muresan

Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

Jittered sampling - a potential solution for detecting high frequencies in GCaMP recordings.

Andrei Ciuparu, Raul Cristian Muresan

Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

Weighted Principal Component Analysis based on statistical properties of features for Spike Sorting.

Roxana Ioana Aldea, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru, Raul Cristian Muresan, Vasile Vlad Moca

Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

2020

Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures.

Andrei Ciuparu, Adriana Nagy-Dabâcan, Raul Cristian Muresan

Neurocomputing, 2020

Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks.

Vlad Mihai Petrutiu, Liana-Daniela Palcu, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan, Vasile Vlad Moca

Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction.

Ioana Onofrei, Andreea Salagean, Narcisa Sîrca, Vasile V. Moca, Adriana Nagy-Dabâcan, Raul Cristian Muresan, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru

Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Fractional Superlets.

Harald Bârzan, Vasile V. Moca, Ana-Maria Ichim, Raul Cristian Muresan

Proceedings of the 28th European Signal Processing Conference, 2020

A Machine Learning Approach to Investigate Fronto-Parietal Neural Ensemble Dynamics During Complex Behavior.

Medorian Gheorghiu, Andrei Ciuparu, Bartul Mimica, Jonathan R. Whitlock, Raul Cristian Muresan

Proceedings of the IEEE International Conference on Automation, 2020

Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data.

Emanuela L. Dan, Mihaela Dînsoreanu, Raul Cristian Muresan

Proceedings of the IEEE International Conference on Automation, 2020

Machine Learning-Assisted Detection of Action Potentials in Extracellular Multi-Unit Recordings.

Harald Bârzan, Ana-Maria Ichim, Raul Cristian Muresan

Proceedings of the IEEE International Conference on Automation, 2020

2019

Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods.

Liana-Daniela Palcu, Marius Supuran, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan

Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

A method for the measurement and interpretation of neuronal interactions: improved fitting of cross-correlation histograms using 1D-Gabor Functions.

Ana-Maria Ichim, Adriana Nagy-Dabâcan, Raul Cristian Muresan

Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

2017

A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks.

Samuel Dolean, Mihaela Dînsoreanu, Raul Cristian Muresan, Attila Geiszt, Rodica Potolea, Ioana Tincas

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Classification of EEG signals in an object recognition task.

Iacob D. Rus, Paul Marc, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

Artifact detection in EEG using machine learning.

Elena Nedelcu, Raluca Portase, Ramona Tolas, Raul Cristian Muresan, Mihaela Dînsoreanu, Rodica Potolea

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2009

EEG under anesthesia - Feature extraction with TESPAR.

Vasile V. Moca, Bertram Scheller, Raul Cristian Muresan, Michael Daunderer, Gordon Pipa

Comput. Methods Programs Biomed., 2009

2008

The InfoPhase Method or How to Read Neurons with Neurons.

Raul Cristian Muresan, Wolf Singer, Danko Nikolic

Proceedings of the Artificial Neural Networks, 2008

Real and Modeled Spike Trains: Where Do They Meet?.

Vasile V. Moca, Danko Nikolic, Raul Cristian Muresan

Proceedings of the Artificial Neural Networks, 2008

2007

Importance of electrophysiological signal features assessed by classification trees.

Andreea Lazar, Raul Cristian Muresan, Ellen Städtler, Matthias H. J. Munk, Gordon Pipa

Neurocomputing, 2007

2006

Phase Precession and Recession with STDP and Anti-STDP.

Razvan V. Florian, Raul Cristian Muresan

Proceedings of the Artificial Neural Networks, 2006

2005

Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits.

Raul Cristian Muresan, Gordon Pipa, Diek W. Wheeler

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004

The coherence theory: simple attentional modulation effects.

Raul Cristian Muresan

Neurocomputing, 2004

2003

Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms.

Raul Cristian Muresan

Neurocomputing, 2003

RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures.

Raul Cristian Muresan

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003