Publications
Recent publications
Articles:
Jurjut O.F., Nikolic D., Pipa G., Singer W., Metzler D., Muresan R.C. (2009), A color-based visualization technique for multi-electrode spike trains. Journal of Neurophysiology 102:3766-3778, 2009.
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Moca V.V., Scheller B., Muresan R.C., Daunderer M., Pipa G. (2009), EEG under anesthesia - feature extraction with TESPAR. Computer Methods and Programs in Biomedicine 95:191-202.
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Muresan R.C., Jurjut O.F., Moca V.V., Singer W., Nikolic D. (2008), The Oscillation Score: An Efficient Method for Estimating Oscillation Strength in Neuronal Activity. Journal of Neurophysiology 99:1333-1353.
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Nikolic D., Moca V.V., Singer W. and Muresan R.C. (2008), Properties of multivariate data investigated by fractal dimensionality. Journal of Neuroscience Methods 172(1):27-33.
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Muresan R.C., Singer W., Nikolic D. (2008), The InfoPhase Method or How to Read Neurons with Neurons. In V. Kurkova et al. (eds.): ICANN 2008, Part II, Lecture Notes in Computer Science 5164, pp. 498-507, Springer, Berlin / Heidelberg.
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Moca V.V., Nikolic D., and Muresan R.C. (2008), Real and Modeled Spike Trains: Where Do They Meet? In V. Kurkova et al. (eds.): ICANN 2008, Part II, Lecture Notes in Computer Science 5164, pp. 488-497, Springer, Berlin / Heidelberg.
[pdf] [link]
Abstracts, posters and talks:
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Muresan R.C. (2009), Combined Approaches to Understanding the Brain, invited talk at Seminari di Neuroscienze e Scienze Psichologiche e Psichiatriche, University of Verona, Verona, Italy.
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Muresan R.C., Tincas I., Moca V.V., Melloni L. (2009), Probing the visual system with visual hypotheses, (CNS Meeting 09) Berlin Germany: BMC Neuroscience 10 (Suppl 1), p. 356.
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Moca V.V., Scheller B., Muresan R.C., Daunderer M., Pipa G. (2009), EEG processing with TESPAR for depth of anesthesia detection, (CNS Meeting 09) Berlin Germany: BMC Neuroscience 10 (Suppl 1), p. 68.
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Muresan R.C., Tincas I., Moca V.V., Melloni L. (2009), Vision by inference: visual recognition under uncertainty, (ASSC XIII) Berlin Germany, p. 195.
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Moca V.V., Scheller B., Muresan R.C., Daunderer M., Pipa G. (2009), Importance of EEG frequency bands in the assessment of depth of anesthesia, (ASSC XIII) Berlin Germany, p. 187.
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Muresan R.C. (2009), Investigating Brain Function from Multiple Perspectives: Modeling, Experiment, Analysis, invited talk at AHFMR Polaris Mini Workshop on Brain Dynamics, Canadian Centre for Behavioural Neuroscience, Lethbridge, Canada.
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Tincas I., Visu-Petra L., Benga O. (2009), Regulation and anxiety in preschoolers: Contributions from temperament and attentional control. SRCD Biennial Meeting, April 2-4, Denver, Colorado, USA.
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Muresan R.C. (2008), Dynamics of self-sustained microcircuits examined with regular-spiking readouts, (CNS Meeting 08) Portland (Oregon), USA: BMC Neuroscience 9 (Suppl 1), p. 37.
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Jurjut O.F., Nikolic D., Singer W., Metzler D., Muresan R.C. (2008), Multidimensional Patterns of Neuronal Activity: How do we see them?, (CNS Meeting 08) Portland (Oregon), USA: BMC Neuroscience 9 (Suppl 1), p. 128.
[pdf] [link] -
Jurjut O.F., Nikolic D., Singer W., Metzler D., Muresan R.C. (2008), Exploring Parallelly Recorded Spike Trains, (Cosyne 08) Salt Lake City, USA, I-33.
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Muresan R.C. (2007), Do I integrate or do I resonate? That is the question! Coherent Behavior in Neural Networks (CoBeNN) Mallorca, Spain, P23.
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Jurjut O.F., Nikolic D., Metzler D., Singer W., Muresan R.C. (2007), Vizualizing Multi-dimensional Neuronal Data, Coherent Behavior in Neuronal Networks (CoBeNN) Mallorca, Spain, P16.
Previous publications
Muresan R.C. and Savin C. (2007), Resonance or Integration? Self-sustained Dynamics and Excitability of Neural Microcircuits. Journal of Neurophysiology 97:1911-1930.
[pdf]Lazar A., Muresan R.C., Stadtler E., Munk M., Pipa G. (2007), Importance of electrophysiological signal features assessed by classification trees. Neurocomputing Vol. 70:2017-2021.
[link]Florian R.V. and Muresan R.C. (2006), Phase precession and recession with STDP and anti-STDP. Lecture Notes in Computer Science, Vol. 4131, Eds. S. Kollias et al., pp. 718-727, Springer-Verlag Berlin Heidelberg.
[link]Savin C., Ignat I. and Muresan R.C. (2006), Heterogeneous networks of spiking neurons: self-sustained activity and excitability. Proceedings of the IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP) 2006.
[pdf]Savin C., Ignat I. and Muresan R.C. (2006), Resonance as an effective mechanism of dynamical stability in large microcircuits of spiking neurons. Computational Neuroscience Meeting, Edinburgh 2006.
[pdf]Muresan R.C., Pipa G., Florian R.V., Wheeler D.W. (2005), Coherence, Memory and Conditioning. A Modern Viewpoint. Neural Information Processing - Letters and Reviews, Vol. 7, No. 2, pp. 19-28.
[pdf]Muresan R.C., Pipa G., Wheeler D.W. (2005), Single-unit Recordings Revisited: Activity in Recurrent Microcircuits. Lecture Notes in Computer Science, Vol. 3696, Eds. W. Duch, J. Kacprzyk, E. Oja, et al., pp. 153-160, Springer-Verlag Berlin Heidelberg.
[pdf]Muresan R.C. (2004), Scale Independence in the Visual System, in: "Rajapakse, Jagath C.; Wang, Lipo (Eds). Neural Information, Processing: Research and Development", Springer-Verlag, pp. 1-18.
[pdf]Muresan R.C. and Ignat I. (2004), The "Neocortex" Neural Simulator. A Modern Design. Proceedings of the International Conference on Intelligent Engineering Systems 2004.
[pdf]Muresan R.C. and Ignat I. (2004), Principles of Design for Large Scale Neural Simulators. Proceedings of the International Conference on Automation, Quality and Testing, Robotics 2004.
[pdf]Muresan R.C. (2004), The Coherence Theory: Simple Attentional Modulation Effects. Neurocomputing, Vol. 58-60C, Special Issue: Computational Neuroscience: Trends in Research 2004 Edited by E. De Schutter, pp. 949-955, 2004.
[pdf]Muresan R.C. (2003), Pattern Recognition Using Pulse-Coupled Neural Networks and Discrete Fourier Transforms. Neurocomputing, vol. 51C, pp. 487-493.
[pdf]Muresan R.C. (2003), RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures. Proceedings of the European Symposium on Artificial Neural Networks, Bruges, April 23-25 2003, pp. 247-254.
[pdf]Muresan R.C. (2002), Visual Scale Independence in a Network of Spiking Neurons. Proceedings of 9th International Conference on Neural Information Processing Proceedings (ICONIP), Singapore, Vol. 4, pp. 1739-1743.
[pdf]Muresan R.C. (2002), Complex Object Recognition Using a Biologically Plausible Neural Model, In: Advances in Simulation, Systems Theory and Systems Engineering, WSEAS Press: Athens, pp. 163-168.
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