RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures. - Raul Cristian Muresan (ESANN, 2003)

Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms. - Raul Cristian Muresan (Neurocomputing, 2003)

The coherence theory: simple attentional modulation effects. - Raul Cristian Muresan (Neurocomputing, 2004)

Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits. - Raul Cristian Muresan; Gordon Pipa; Diek W. Wheeler (ICANN (1), 2005)

Phase Precession and Recession with STDP and Anti-STDP. - Razvan V. Florian; Raul Cristian Muresan (ICANN (1), 2006)

Importance of electrophysiological signal features assessed by classification trees. - Andreea Lazar; Raul Cristian Muresan; Ellen Städtler; Matthias H. J. Munk; Gordon Pipa (Neurocomputing, 2007)

Real and Modeled Spike Trains: Where Do They Meet?. - Vasile V. Moca; Danko Nikolic; Raul Cristian Muresan (ICANN (2), 2008)

The InfoPhase Method or How to Read Neurons with Neurons. - Raul Cristian Muresan; Wolf Singer; Danko Nikolic (ICANN (2), 2008)

EEG under anesthesia - Feature extraction with TESPAR. - Vasile V. Moca; Bertram Scheller; Raul Cristian Muresan; Michael Daunderer; Gordon Pipa (Comput. Methods Programs Biomed., 2009)

Artifact detection in EEG using machine learning. - Elena Nedelcu; Raluca Portase; Ramona Tolas; Raul Cristian Muresan; Mihaela Dînsoreanu; Rodica Potolea (ICCP, 2017)

Classification of EEG signals in an object recognition task. - Iacob D. Rus; Paul Marc; Mihaela Dînsoreanu; Rodica Potolea; Raul Cristian Muresan (ICCP, 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 (NFMCP@PKDD/ECML, 2017)

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 (ICCP, 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 (NFMCP@PKDD/ECML, 2019)

Machine Learning-Assisted Detection of Action Potentials in Extracellular Multi-Unit Recordings. - Harald Bârzan; Ana-Maria Ichim; Raul Cristian Muresan (AQTR, 2020)

Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data. - Emanuela L. Dan; Mihaela Dînsoreanu; Raul Cristian Muresan (AQTR, 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 (AQTR, 2020)

Fractional Superlets. - Harald Bârzan; Vasile V. Moca; Ana-Maria Ichim; Raul Cristian Muresan (EUSIPCO, 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 (ICCP, 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 (ICCP, 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)

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 (ICCP, 2021)

Jittered sampling - a potential solution for detecting high frequencies in GCaMP recordings. - Andrei Ciuparu; Raul Cristian Muresan (ICCP, 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 (ICCP, 2021)

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 (AQTR, 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 (ICCP, 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 (ICCP, 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)

Burst detection in neuronal activity. - Adriana-Ioana Ardelean; Eugen-Richard Ardelean; Vasile Vlad Moca; Raul Cristian Muresan; Mihaela Dînsoreanu (ICCP, 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 (ICCP, 2023)

Symbolic Analysis Based Pipeline for EEG Data. - Oana Miruna Moisa; Ileana Pop; Eugen-Richard Ardelean; Vasile Vlad Moca; Raul Cristian Muresan; Mihaela Dînsoreanu (ICCP, 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., 2023)

Adapting Supervised Machine Learning for Analysis of Neurobiological Signals. - Andrei Ciuparu; Ann Christin Garvert; Koen Gerard Alois Vervaeke; Raul Cristian Muresan (AQTR, 2024)