Transylvanian Institute of Neuroscience | TINS


Publicații

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.
     [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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