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TINS Open Access Publications Policy Framework

2024

  • Ichim A.M., Barzan H., Moca V.V., Nagy-Dabacan A., Ciuparu A., Hapca A., Vervaeke K., Muresan R.C. (2024), The gamma rhythm as a guardian of brain health. eLife 13:e100238.
     [pdf]  [Journal website link]

  • Molnár F., Horvát S., Ribeiro Gomes A.R., Armas J.G., Molnár B., Ercsey-Ravasz M., Knoblauch K., Kennedy H., Toroczkai Z. (2024), Predictability of cortico-cortical connections in the mammalian brain. Network Neuroscience 2024; 8 (1): 138–157.
     [pdf]  [Journal website link]

  • Molnár B., Márton I.B., Horvát S., Ercsey-Ravasz M. (2024), Community detection in directed weighted networks using Voronoi partitioning. Scientific Reports 14, 8124.
     [pdf]  [Journal website link]

  • Józsa M., Ercsey-Ravasz M., Lázár Z.I. (2024), Coarse-graining model reveals universal exponential scaling in axonal length distributions. Journal of Physics: Complexity, vol. 5, no. 3.
     [pdf]  [Journal website link]

  • Park S.J., Son S.M., Barbosa A.D., Wrobel L., Stamatakou L., Squitieri F., Balmus G., Rubinsztein D.C. (2024), Nuclear proteasomes buffer cytoplasmic proteins during autophagy compromise. Nat Cell Biol (2024). https://doi.org/10.1038/s41556-024-01488-7Park, S.J., Son, S.M., Barbosa, A.D. et al. Nuclear proteasomes buffer cytoplasmic proteins during autophagy compromise. Nature Cell Biology.
     [pdf]  [Open access journal link]

  • Bakouh N., Castaño-Martín R., Metais A., Dan E.L., Balducci E., Chhuon C., Lepicka J., Barcia G., Losito E., Lourdel S., Planelles G., Muresan R.C., Moca V.V., Kaminska A., Bourgeois M., Chemaly N., Rguez Y., Auvin S., Huberfeld G., Varlet P., Asnafi V., Guerrera I.C., Kabashi E., Nabbout R., Ciura S., Blauwblomme T. (2024), Chloride deregulation and GABA depolarization in MTOR related malformations of cortical development. Brain, In Press.
     [pdf]  [Open access journal link]

  • Varga L., Moca V.V., Molnár B., Perez-Cervera L., Selim M.K., Díaz-Parra A., Moratal D., Péntek B., Sommer W.H., Muresan R.C., Canals S., Ercsey-Ravasz M. (2024), Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture, Cell Systems 15, 1-17.
     [pdf]  [Journal website link]

  • Molnár B., Márton I.B., Horvát S., Ercsey-Ravasz M. (2024), Community detection in directed weighted networks using Voronoi partitioning. Scientific Reports 14, 8124.
     [pdf]  [Journal link]

  • Adams D.J., Barlas B., McIntyre R.E.,..., Balmus G. (2024), Genetic determinants of micronucleus formation in vivo. Nature 627, 130–136. https://doi.org/10.1038/s41586-023-07009-0
     [pdf]  [Open access journal link]

  • Peruzzotti-Jametti L., Willis C.M., Krzak G. et al. (2024), Mitochondrial complex I activity in microglia sustains neuroinflammation. Nature. https://doi.org/10.1038/s41586-024-07167-9
     [pdf]  [Open access journal link]

  • Ciuparu A., Garvert A.C., Vervaeke K., Muresan R.C. (2024), Adapting supervised machine learning for analysis of neurobiological signals. Automation, Quality and Testing, Robotics (AQTR), 2024 IEEE International Conference on, pp. 1-6, https://doi.org/10.1109/AQTR61889.2024.10554180.
     [pdf]    [Journal link]

  • Gal C., Tincas I., Moca V.V., Ciuparu A., Dan E.L., Smith M.L., Gliga T., Muresan R.C. (2024), Randomness impacts the building of specific priors, visual exploration, and perception in object recognition. Scientific Reports 14, 8527.
     [pdf]  [Open access journal link]

2023

  • Fang TS.Z., Sun Y., Pearce A.C.,..., Balmus G., Simon D.K. (2023), Knockout or inhibition of USP30 protects dopaminergic neurons in a Parkinson’s disease mouse model. Nature Communications 14, 7295.
     [pdf]  [Open access journal link]

  • Ardelean E.R., Barzan H., Ichim A.M., Muresan R.C., Moca V.V. (2023), Sharp detection of oscillation packets in rich time-frequency representations of neural signals. Frontiers in Human Neuroscience 17:1112415.
     [pdf]  [Open access journal link]

  • Bilc M.I., Iacob A., Szekely-Copindean R.D., Kiss B., Stefan M.G., Muresan R.C., Pop C.F., Pitur S., Szentagotai-Tatar A., Vulturar R., MacLeod C., Miu A.C. (2023), Serotonin and emotion regulation: the impact of tryptophan depletion on emotional experience, neural and autonomic activity. Cognitive, Affective, & Behavioral Neuroscience 23, 1414–1427 (2023).
     [pdf]  [Link]

  • Grosu G.F., Hopp A.V., Moca V.V., Barzan H., Ciuparu A., Ercsey-Ravasz M., Winkel M., Linde H., Muresan R.C. (2023), The fractal brain: scale-invariance in structure and dynamics. Cerebral Cortex 33(8):4574–4605.
     [pdf]  [Open access journal link]

  • Ardelean E.R., Coporiie A., Ichim A.M., Dinsoreanu M., Muresan R.C. (2023), A study of autoencoders as a feature extraction technique for spike sorting. PLoS One 18(3):e0282810.
     [pdf]  [Open access journal link]

  • Ardelean E.R., Ichim A.M., Dinsoreanu M., Muresan R.C. (2023), Improved space breakdown method – A robust clustering technique for spike sorting. Frontiers in Computational Neuroscience 17:1019637.
     [pdf]  [Open access journal link]

  • Linde H. (2023), Does the Brain Infer Invariance Transformations from Graph Symmetries? IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2023.3281406.
     [pdf]  [Journal link] [arXiv link]

  • Vučković A., Stock B., Hopp A.V., Winkel M., Linde H. (2023), Unsupervised Learning of Invariance Transformations. Preprint.
     [pdf]  [arXiv link]

  • Petre L.M., Gheorghe D.A., Watson D., Mitrofan L. (2023), Romanian Inventory of Depression and Anxiety Symptoms (IDAS-II). Frontiers in Psychology 14:1159380, doi: 10.3389/fpsyg.2023.1159380.
     [pdf]  [Open access journal link]

  • Ardelean A.I., Ardelean E.R., Moca V.V., Muresan R.C., Dinsoreanu M. (2023), Burst detection in neuronal activity. Intelligent Computer Communication and Processing (ICCP), 2023 19th IEEE International Conference on, pp. 349-356, https://doi.org/10.1109/ICCP60212.2023.10398703.
     [pdf]    [Journal link]

  • Ardelean E.R., Terec R.D., Maries C.M., Moca V.V., Muresan R.C., Dinsoreanu M. (2023), Spike sorting using Superlets: Identifying feature importance through perturbation. Intelligent Computer Communication and Processing (ICCP), 2023 19th IEEE International Conference on, pp. 357-362, https://doi.org/10.1109/ICCP60212.2023.10398655.
     [pdf]    [Journal link]

  • Moisa O.M., Pop I., Ardelean E.R., Moca V.V., Muresan R.C., Dinsoreanu M. (2023), Symbolic Analysis Based Pipeline For EEG Data. Intelligent Computer Communication and Processing (ICCP), 2023 19th IEEE International Conference on, pp. 371-378, https://doi.org/10.1109/ICCP60212.2023.10398607.
     [pdf]    [Journal link]

2022

  • Barzan H., Ichim A.M., Moca V.V., Muresan R.C. (2022), Time-Frequency Representations of Brain Oscillations: Which One Is Better? Frontiers in Neuroinformatics 16:871904, doi: 10.3389/fninf.2022.871904.
     [pdf]  [Open access journal link]

  • Dumitru D.A., Ceuta E.B., Moca V.V., Muresan R.C., Dinsoreanu M. (2022), Extraction of Functional Brain Networks from EEG Signals in the Context of Visual Perception. Automation, Quality and Testing, Robotics (AQTR), 2022 IEEE International Conference on, pp. 1-6, doi: 10.1109/AQTR55203.2022.9801941.
     [pdf]  [Journal link]

  • Muresan D.B., Ciure R.D., Ardelean E.R., Moca V.V., Muresan R.C., Dinsoreanu M. (2022), Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes. Intelligent Computer Communication and Processing (ICCP), 2022 18th IEEE International Conference on, pp. 229-235, https://doi.org/10.1109/ICCP56966.2022.10053955.
     [pdf]   [Journal link]

  • Salagean A., Pasc A.M., Ardelean E.R., Muresan R.C., Moca V.V., Dinsoreanu M., Potolea R., Lemnaru C. (2022), Local Field Potential Microstate Analysis. Intelligent Computer Communication and Processing (ICCP), 2022 18th IEEE International Conference on, pp. 221-227, https://doi.org/10.1109/ICCP56966.2022.10053960.
     [pdf]   [Journal link]

  • Varady C., Volpi R., Malago L., Ay N. (2022), Natural Reweighted Wake–Sleep. Neural Networks 155:574-591.
     [pdf]    [Journal link]

  • Künzi M., Gheorghe D.A., Kliegel M., Ballhausen N., Gallacher J., Bauermeister S. (2022), Cumulative life course adversity, mental health, and cognition in the UK biobank. Scientific Repports 12, 14700.
     [pdf]    [Open access journal link]

2021

  • Moca V.V., Barzan H., Nagy-Dabacan A., Muresan R.C. (2021), Time-frequency super-resolution with superlets. Nature Communications 12, 337.
     [pdf]  [Open access journal link]

  • Wandres M., Pfarr S., Molnar B., Schollkopf U., Ercsey-Ravasz M., Sommer W.H., Korber C. (2021), Alcohol and sweet reward are encoded by distinct meta-ensembles. Neuropharmacology, vol. 195, 108496.
     [pdf]  [Journal link]

  • Sandor B., Schneider B., Lazar Z.I., Ercsey-Ravasz M. (2021), A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition Networks. Entropy 23, 103.
     [pdf]  [Journal website link]

  • Ciuparu A., Muresan R.C. (2021), Jittered sampling - a potential solution for detecting high frequencies in GCaMP recordings. Intelligent Computer Communication and Processing (ICCP), 2021 17th IEEE International Conference on, pp. 469-475.
     [pdf] [Journal link]

  • Dodon A., Calugar M.A., Potolea R., Lemnaru C., Dinsoreanu M., Moca V.V., Muresan R.C. (2021), A generative adversarial approach for the detection of typical and drowned action potentials. Intelligent Computer Communication and Processing (ICCP), 2021 17th IEEE International Conference on, pp. 477-481.
     [pdf] [Journal link]

  • Aldea R., Dinsoreanu M., Potolea R., Lemnaru C., Muresan R.C., Moca V.V. (2021), Weighted Principal Component Analysis based on statistical properties of features for spike sorting. Intelligent Computer Communication and Processing (ICCP), 2021 17th IEEE International Conference on, pp. 455-460.
     [pdf] [Journal link]

  • Ravasz L., Kekesi K.A., Mittli D., Ivilinov Todorov M., Borhegy Z., Ercsey-Ravasz M., Tyukodi B., Wang J., Bartfai T., Eberwine J., Juhasz G., (2021), Cell Surface Protein mRNAs Show Differential Transcription in Pyramidal and Fast-Spiking Cells as Revealed by Single-Cell Sequencing. Cerebral Cortex, 31:731–745.
     [pdf] [Open access journal link]

  • Volpi R., Malagò L., (2021), Natural alpha embeddings. Information Geometry 4(1), 3-29.
     [pdf]  [pdf]    [Journal website link]

  • Volpi R., Thakur U., Malagò L., (2021), Changing the geometry of representations: α-embeddings for nlp tasks. Entropy 23(3), 287.
     [pdf] [Open access journal link]

2020

  • Ciuparu A., Nagy-Dabacan A., Muresan R.C. (2020), Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures. Neurocomputing, 384:376-388.
     [pdf]  [Open access journal link]

  • de Calbiac H., Dabacan A., Muresan R., Kabashi E., Ciura S. (2020), Behavioral And Physiological Analysis In A Zebrafish Model Of Epilepsy. J. Vis. Exp. (Pending Publication), e58837, In-press.
     [Journal website link]

  • Barzan H., Moca V.V., Ichim A.M., Muresan R.C. (2020), Fractional Superlets. EURASIP 28th European Signal Processing Conference (EUSIPCO), Amsterdam, 18-22 January, 2021, pages 2220-2224.
     [pdf]

  • Palcu L.D., Supuran M., Lemnaru C., Dinsoreanu M., Potolea R., Muresan R.C. (2020), Discovering discriminative nodes for classification with deep graph convolutional methods. In M. Ceci et al. (Eds.): NFMCP 2019, Lecture Notes in Artificial Intelligence 11948, pp. 67–82, 2020, Springer Nature.
     [pdf]  [Link]

  • Onofrei I., Salagean A., Sirca N., Moca V., Nagy-Dabacan A., Muresan R., Potolea R., Lemnaru C., Dinsoreanu M. (2020), Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction. In 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 21-28.
     [pdf]   [Journal link]

  • Petrutiu V., Palcu L.D., Lemnaru C., Dinsoreanu M., Potolea R., Muresan R.C., Moca V.V. (2020), Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks. In 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 29-34.
     [pdf]   [Journal link]

  • Gheorghiu M., Ciuparu A., Mimica B., Whitlock J., Muresan R.C. (2020), A machine learning approach to investigate fronto-parietal neural ensemble dynamics during complex behavior. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), doi:10.1109/AQTR49680.2020.9129986.
     [pdf]  [Journal link]

  • Barzan H., Ichim A.M., Muresan R.C. (2020), Machine learning-assisted detection of action potentials in extracellular multi-unit recordings. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), doi:10.1109/AQTR49680.2020.9130026.
     [pdf]  [Journal link]

  • Dan L., Dinsoreanu M., Muresan R.C. (2020), Accuracy of six interpolation methods applied on pupil diameter data. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), doi:10.1109/AQTR49680.2020.9129915.
     [pdf]  [Journal link]

2019

  • Moca V.V., Nagy-Dăbâcan A., Bârzan H., Muresan R.C. (2019), Superlets: time-frequency super-resolution using wavelet sets. BioRxiv 583732; doi:10.1101/583732
     [pdf]

  • Jurjut O.F., Gheorghiu M., Singer W., Nikolić D., Muresan R.C. (2019), Hold Your Methods! How Multineuronal Firing Ensembles Can Be Studied Using Classical Spike-Train Analysis Techniques, Frontiers in Systems Neuroscience 13:21, doi:10.3389/fnsys.2019.00021.
     [pdf]

  • Lervåg A., Dolean D., Tincas I., Melby-Lervåg M. (2019), Socioeconomic background, nonverbal IQ and school absence affects the development of vocabulary and reading comprehension in children living in severe poverty. Developmental Science 00:e12858, https://doi.org/10.1111/desc.12858.
     [pdf]  [Journal website link]

  • Ichim A.M., Nagy-Dabacan A., Muresan R.C. (2019), A method for the measurement and interpretation of neuronal interactions: improved fitting of cross-correlation histograms using 1D-Gabor Functions. 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 525-528, doi: 10.1109/ICCP48234.2019.8959531.
     [pdf]  [Journal link]

  • Gheorghiu M., Nagy-Dabacan A., Muresan R.C. (2019), Detecting non-redundant collective activity of neurons. 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 539-543, doi: 10.1109/ICCP48234.2019.8959815.
     [pdf]  [Journal link]

  • Ardelean E-R., Stanciu A., Dinsoreanu M., Potolea R., Lemnaru C., Moca V.V. (2019), Space Breakdown Method. A new approach for density-based clustering. 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 419-425, doi: 10.1109/ICCP48234.2019.8959795.
     [pdf]  [Journal link]

  • Palcu L-D., Supuran M., Lemnaru C., Dinsoreanu M., Potolea R., Muresan R.C. (2019), Breaking the interpretability barrier - a method for interpreting deep graph convolutional models. International Workshop NFMCP in conjunction with ECML-PKDD 2019, Wurzburg, Germany.
     [pdf]  [Workshop website link]

2018

  • Molnár B., Molnár F., Varga M., Toroczkai Z., Ercsey-Ravasz M. (2018), A continuous-time MaxSAT solver with high analog performance. Nature Communications 9 (1), 4864.
     [pdf]  [Journal website link]

  • de Calbiac H., Dabacan A., Marsan E., Tostivint H., Devienne G., Ishida S., Leguern E., Baulac S., Muresan R.C., Kabashi E., Ciura S. (2018), Depdc5 knockdown causes mTOR-dependent motor hyperactivity in zebrafish. Annals of Clinical and Translational Neurology, 5(5):510-523.
     [pdf]

  • Dolean S., Dinsoreanu M., Muresan R.C., Geiszt A., Potolea R., Tincas I. (2018), A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks. In: Appice A., Loglisci C., Manco G., Masciari E., Ras Z. (eds) New Frontiers in Mining Complex Patterns. NFMCP 2017. Lecture Notes in Computer Science, vol 10785. Springer.
     [pdf]  [Journal website link]


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