Transylvanian Institute of Neuroscience | TINS


Publicații

2021

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

  • Ravasz L., Kekesi K.A., Mittli D., Todorov M.I., Borhegyi Z., Ercsey-Ravasz M., Tyukodi B., Wang J., Bartfai T., Eberwine J., Juhasz G. (2020), Cell Surface Protein mRNAs Show Differential Transcription in Pyramidal and Fast-Spiking Cells as Revealed by Single-Cell Sequencing. Cerebral Cortex, In Press.
     [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), In Press.
     [pdf]

  • 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), In Press.
     [pdf]

  • 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]  [IEEE Xplore 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]  [IEEE Xplore 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]  [IEEE Xplore 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]

  • 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]  [IEEE Xplore 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]  [IEEE Xplore 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]  [IEEE Xplore 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.
     [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]

  • 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]

  • Moca V.V., Klein L., Klon-Lipok J., Singer W., Muresan R.C. (2018), Enhancement of gamma oscillations co-occurs with an increase in the complexity of cortical dynamics. 11th FENS Forum of Neuroscience, Berlin 2018.

  • Gal C., Moca V.V., Tincas I., Gliga T., Smith M., Muresan R.C. (2018), Task predictability determines knowledge acquisition during object recognition. 41st European Conference on Visual Perception 26-30 August 2018, Trieste, Italy, P237A.

  • Gheorghiu M., Whitlock J., Muresan R.C., Mimica B. (2018), Visualization of pre-motor and parietal network activity patterns during free behavior in rats. BMC Neuroscience 19(Suppl 2):P33.


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