Raul Cristian Muresan

Orcid: 0000-0001-7854-3775

According to our database1, Raul Cristian Muresan authored at least 33 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adapting Supervised Machine Learning for Analysis of Neurobiological Signals.
Proceedings of the IEEE International Conference on Automation, 2024

2023
Improved space breakdown method - A robust clustering technique for spike sorting.
Frontiers Comput. Neurosci., February, 2023

Symbolic Analysis Based Pipeline for EEG Data.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

Spike sorting using Superlets: Identifying feature importance through perturbation.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

Burst detection in neuronal activity.
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?
Frontiers Neuroinformatics, 2022

Local Field Potential Microstate Analysis.
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.
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.
Proceedings of the IEEE International Conference on Automation, 2022

2021
A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials.
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.
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.
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.
Neurocomputing, 2020

Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks.
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.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Fractional Superlets.
Proceedings of the 28th European Signal Processing Conference, 2020

A Machine Learning Approach to Investigate Fronto-Parietal Neural Ensemble Dynamics During Complex Behavior.
Proceedings of the IEEE International Conference on Automation, 2020

Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data.
Proceedings of the IEEE International Conference on Automation, 2020

Machine Learning-Assisted Detection of Action Potentials in Extracellular Multi-Unit Recordings.
Proceedings of the IEEE International Conference on Automation, 2020

2019
Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods.
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.
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.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Classification of EEG signals in an object recognition task.
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

Artifact detection in EEG using machine learning.
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2009
EEG under anesthesia - Feature extraction with TESPAR.
Comput. Methods Programs Biomed., 2009

2008
The InfoPhase Method or How to Read Neurons with Neurons.
Proceedings of the Artificial Neural Networks, 2008

Real and Modeled Spike Trains: Where Do They Meet?.
Proceedings of the Artificial Neural Networks, 2008

2007
Importance of electrophysiological signal features assessed by classification trees.
Neurocomputing, 2007

2006
Phase Precession and Recession with STDP and Anti-STDP.
Proceedings of the Artificial Neural Networks, 2006

2005
Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
The coherence theory: simple attentional modulation effects.
Neurocomputing, 2004

2003
Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms.
Neurocomputing, 2003

RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003


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