Applied Computational Intelligence Laboratory | Cătălin V. Rusu | TINS



  • CV Rusu, Ban T, Grebla H (2017), Robby: A Neurorobotics Control Framework Using Spiking Neural Networks. Studia Informatica 62(2): 83-92.

  • CV Rusu, M Murakami, U Ziemann, J Triesch (2015), A Model of TMS-induced I-waves in Motor Cortex. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation 8(2): 407-408.

  • CV Rusu, RV Florian. (2014), A new class of metrics for spike trains. Neural Computation 26(2): 306-348.

  • CV Rusu, M Murakami, U Ziemann, J Triesch (2014), A model of TMS-induced I-waves in motor cortex. Brain Stimulation 7(3): 401-414.

  • Pampu N.C., Vicente R., Muresan R.C., Priesemann V., Siebenhühner F., Wibral M. (2013), Transfer Entropy as a tool for reconstructing interaction delays in neural signals, Proceedings of International Symposium on Signals, Circuits & Systems - ISSCS 2013, pp. 1-4.

  • Wibral M, Pampu N.C., Priesemann V, Siebenhühner F, Seiwert H, Lindner M, Lizier JT, Vicente R. (2013), Measuring information-transfer delays. PloS One 8(2): e55809.

  • Wibral M, Wollstadt P, Meyer U, Pampu N, Priesemann V, Vicente R. (2012), Revisiting Wiener's principle of causality—interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2012, pp. 3376-3379.

  • NC Pampu( 2011), Study of effects of the short time Fourier transform configuration on EEG spectral estimates. Acta Technica Napocensis 52(4): 26.

  • CV Rusu, HS Ahn(2011), Optimal network localization by particle swarm optimization. Proceedings of IEEE International Symposium on Intelligent Control 2011 (ISIC), pp. 620-625.

  • HA Grebla, CO Cenan, L Stanca (2010), Knowledge Fusion in Academic Networks. BRAIN 1(2): 111-118.

  • HA Grebla, CO Cenan (2010), A Proposed Data Driven Architecture for Cardiology Network Application. BRAIN 1(2): 9-20.

  • G Chis, HA Grebla, L Stanca (2009), Mobile learning platform for E-learning. International Journal of Interactive Mobile Technologies (iJIM) 3(3): 17-20.

  • HA Grebla, G Chiş, Liana Stanca, C Ciumaş (2007), E-learning Platform for Student Recuitment and Retention. Proceedings of IEEII pp 342-353.

  • HA Grebla, C Cenan (2006), Distributed machine learning in a medical domain. IJCC 1: 245-250.

  • HA Grebla, C Cenan (2005), Distributed database replication-a game theory?. Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2005, pp. 4.

  • HA Grebla, G Moldovan, SA Darabant, A Câmpan (2004), Data allocation in distributed database systems performed by mobile intelligent agents. Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics.

Abstracts, posters and talks

  • CV Rusu, M Murakami, U Ziemann, J Triesch (2012), Modeling the neurophysiology of TMS-induced I-waves, Frontiers in Computational Neuroscience, 70.

  • CV Rusu, U Ziemann, and J Triesch (2012), A Model of I-Wave Generation during Transcranial Magnetic Stimulation (TMS),Cosyne Abstracts 2012, Salt Lake City, USA.

  • CV Rusu, R Florian (2010), A new spike train metric, BMC Neuroscience 11 (suppl. 1), p. 169.

  • CV Rusu, R Florian (2009), Exploring the link between temporal difference learning and spike-timing-dependent plasticity, BMC Neuroscience 10 (suppl.1), p. 201,.

  • CV Rusu, R Florian (2009), Temporal difference learning does not always lead to STDP, Frontiers in Systems Neuroscience, p. 205,.