Raul Cristian Mureşan

Publications

• Selected publications
• Membrane Resonance Enables Stable and Robust Gamma Oscillations

  V. V. Moca, D. Nikolic, W. Singer, & R. C. Muresan. (2014)

  Cerebral Cortex, 24(1), 119-142.
• Scaled correlation analysis: a better way to compute a cross-correlogram: Scaled correlation analysis

  D. Nikolić, R. C. Mureşan, W. Feng, & W. Singer. (2012)

  European Journal of Neuroscience, 35(5), 742–762.
• Timescales of Multineuronal Activity Patterns Reflect Temporal Structure of Visual Stimuli

  O. F. Jurjuţ, D. Nikolić, W. Singer, S. Yu, M. N. Havenith, & R. C. Mureşan. (2011)

  (O. Sporns, Eds.) PLoS ONE, 6(2), e16758.
• Visual Exploration and Object Recognition by Lattice Deformation

  V. V. Moca, I. Ţincaş, L. Melloni, & R. C. Mureşan. (2011)

  (C. I. Baker, Eds.) PLoS ONE, 6(7), e22831.
• A Color-Based Visualization Technique for Multielectrode Spike Trains

  O. F. Jurjut, D. Nikolic, G. Pipa, W. Singer, D. Metzler, & R. C. Muresan. (2009)

  Journal of Neurophysiology, 102(6), 3766–3778.
• The Oscillation Score: An Efficient Method for Estimating Oscillation Strength in Neuronal Activity

  R. C. Muresan, O. F. Jurjut, V. V. Moca, W. Singer, & D. Nikolic. (2008)

  Journal of Neurophysiology, 99(3), 1333–1353.
• Properties of multivariate data investigated by fractal dimensionality

  D. Nikolić, V. V. Moca, W. Singer, & R. C. Mureşan. (2008)

  Journal of Neuroscience Methods, 172(1), 27–33.
• Resonance or Integration? Self-Sustained Dynamics and Excitability of Neural Microcircuits

  R. C. Mureşan, & C. Savin. (2007)

  Journal of Neurophysiology, 97(3), 1911–1930.
• Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms

  R. C. Mureşan. (2003)

  Neurocomputing, 51(C), 487–493.
• 2014
• Membrane Resonance Enables Stable and Robust Gamma Oscillations

  V. V. Moca, D. Nikolic, W. Singer, & R. C. Muresan. (2014)

  Cerebral Cortex, 24(1), 119-142.
• 2013
• Transfer Entropy as a tool for reconstructing interaction delays in neural signals

  N. C. Pampu, R. Vicente, R. C. Mureşan, V. Priesemann, F. Siebenhühner, & M. Wibral. (2013)

  In Proceedings of International Symposium on Signals, Circuits & Systems - ISSCS 2013.
• 2012
• Scaled correlation analysis: a better way to compute a cross-correlogram: Scaled correlation analysis

  D. Nikolić, R. C. Mureşan, W. Feng, & W. Singer. (2012)

  European Journal of Neuroscience, 35(5), 742–762.
• 2011
• Timescales of Multineuronal Activity Patterns Reflect Temporal Structure of Visual Stimuli

  O. F. Jurjuţ, D. Nikolić, W. Singer, S. Yu, M. N. Havenith, & R. C. Mureşan. (2011)

  (O. Sporns, Eds.) PLoS ONE, 6(2), e16758.
• Visual Exploration and Object Recognition by Lattice Deformation

  V. V. Moca, I. Ţincaş, L. Melloni, & R. C. Mureşan. (2011)

  (C. I. Baker, Eds.) PLoS ONE, 6(7), e22831.
• Emergence of beta/gamma oscillations: ING, PING, and what about RING?

  V. V. Moca, & R. C. Mureşan. (2011)

  BMC Neuroscience, 12(Suppl 1), P230.
• 2009
• Vision by inference: visual recognition under uncertainty

  R. C. Mureşan, I. Ţincaş, V. V. Moca, & L. Melloni. (2009)

  In ASSC XIII (p. 195)Berlin, Germany.
• EEG under anesthesia—Feature extraction with TESPAR

  V. V. Moca, B. Scheller, R. C. Mureşan, M. Daunderer, & G. Pipa. (2009)

  Computer Methods and Programs in Biomedicine, 95(3), 191–202.
• EEG processing with TESPAR for depth of anesthesia detection

  V. V. Moca, B. Scheller, R. C. Mureşan, M. Daunderer, & G. Pipa. (2009)

  BMC Neuroscience, 10(Suppl 1), P68.
• Probing the visual system with visual hypotheses

  R. Mureşan, I. Ţincaş, V. Moca, & L. Melloni. (2009)

  BMC Neuroscience, 10(Suppl 1), 356.
• Probing the visual system with visual hypotheses

  R. C. Mureşan, I. Ţincaş, V. V. Moca, & L. Melloni. (2009)

  BMC Neuroscience, 10(Suppl 1), P356.
• A Color-Based Visualization Technique for Multielectrode Spike Trains

  O. F. Jurjut, D. Nikolic, G. Pipa, W. Singer, D. Metzler, & R. C. Muresan. (2009)

  Journal of Neurophysiology, 102(6), 3766–3778.
• 2008
• The InfoPhase method or how to read neurons with neurons.

  R. C. Mureşan, W. Singer, & D. Nikolić. (2008)

  In V. \unichar277ra K\unichar367rkov\unichar225, R. Neruda, & J. Koutn\unichar237k (Eds.), Proceedings of the 18th ICANN ’08, Lecture Notes In Computer Science 5164, Part II (p. 498-507)Berlin, Heidelberg: Springer-Verlag.
• The Oscillation Score: An Efficient Method for Estimating Oscillation Strength in Neuronal Activity

  R. C. Muresan, O. F. Jurjut, V. V. Moca, W. Singer, & D. Nikolic. (2008)

  Journal of Neurophysiology, 99(3), 1333–1353.
• Properties of multivariate data investigated by fractal dimensionality

  D. Nikolić, V. V. Moca, W. Singer, & R. C. Mureşan. (2008)

  Journal of Neuroscience Methods, 172(1), 27–33.
• Dynamics of self-sustained microcircuits examined with regular-spiking readouts

  R. C. Mureşan. (2008)

  BMC Neuroscience, 9(Suppl 1), P37.
• Multidimensional patterns of neuronal activity: how do we see them?

  O. F. Jurjut, D. Nikolić, W. Singer, D. Metzler, & R. C. Mureşan. (2008)

  BMC Neuroscience, 9(Suppl 1), P128.
• Real and Modeled Spike Trains: Where do they meet?

  V. V. Moca, D. Nikolić, & R. C. Mureşan. (2008)

  In V. \unichar277ra K\unichar367rkov\unichar225, R. Neruda, & J. Koutn\unichar237k (Eds.), Proceedings of the 18th ICANN ’08, Lecture Notes in Computer Science 5164, Part II (p. 488-497)Berlin, Heidelberg: Springer-Verlag.
• 2007
• Resonance or Integration? Self-Sustained Dynamics and Excitability of Neural Microcircuits

  R. C. Mureşan, & C. Savin. (2007)

  Journal of Neurophysiology, 97(3), 1911–1930.
• Importance of electrophysiological signal features assessed by classification trees

  A. Lazăr, R. Mureşan, E. Städtler, M. H. J. Munk, & G. Pipa. (2007)

  Neurocomputing, 70(10-12), 2017–2021.
• 2006
• Phase Precession and Recession with STDP and Anti-STDP

  R. V. Florian, & R. C. Mureşan. (2006)

  (S. D. Kollias, A. Stafylopatis, W. Duch, & E. Oja, Eds.) Artificial Neural Networks – ICANN 2006 (Vol. 4131, p. 718–727)Berlin, Heidelberg: Springer Berlin Heidelberg.
• Heterogeneous networks of spiking neurons

  C. Savin, I. Ignat, & R. C. Mureşan. (2006)

  In Proceedings of the IEEE 2nd International Conference on Intelligent Computer Communication and Processing (ICCP) 2006.
• Resonance as an effective mechanism of dynamical stability in large microcircuits of spiking neurons

  C. Savin, I. Ignat, & R. C. Mureşan. (2006)

  In Proceedings of the Fifteenth Annual Computational Neuroscience Meeting (CNS 2006).
• 2005
• Single-unit Recordings Revisited: Activity in Recurrent Microcircuits

  R. C. Mureşan, G. Pipa, & D. W. Wheeler. (2005)

  In W. Duch, J. Kacprzyk, & E. Oja (Eds.), Proceedings of the 15th ICANN ’05, Lecture Notes in Computer Science 3696, Part I (p. 153-160)Berlin, Heidelberg.: Springer-Verlag.
• Coherence, Memory and Conditioning

  R. C. Mureşan, G. Pipa, R. V. Florian, & D. W. Wheeler. (2005)

  Neural Information Processing - Letters and Reviews, 7(2), 19-28.
• 2004
• The "Neocortex" Neural Simulator. A Modern Design.

  R. C. Mureşan, & I. Ignat. (2004)

  Proceedings of International Conference on Intelligent Engineering Systems, Cluj-Napoca, Romania.
• Principles of Design for Large Scale Neural Simulators

  R. C. Mureşan, & I. Ignat. (2004)

  In Proceedings of the International Conference on Automation, Quality and Testing, Robotics (AQTR).
• Scale independence in the visual system

  R. C. Mureşan. (2004)

  In Neural information processing: research and development (p. 1-18)Berlin / Heidelberg: Springer-Verlag.
• The coherence theory: simple attentional modulation effects

  R. C. Mureşan. (2004)

  Neurocomputing, 58-60(C), 949–955.
• 2003
• RetinotopicNET: An efficient simulator for retinotopic visual architectures

  R. C. Mureşan. (2003)

  In Proceedings of the European Symposium on Artificial Neural Networks (p. 247-254).
• Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms

  R. C. Mureşan. (2003)

  Neurocomputing, 51(C), 487–493.
• 2002
• Complex Object Recognition Using a Biologically Plausible Neural Model

  R. C. Mureşan. (2002)

  In Advances in Simulation, Systems Theory and Systems Engineering (p. 163-168).
• Visual Scale Independence in a Network of Spiking Neurons

  R. C. Mureşan. (2002)

  In Proceedings of 9th International Conference on Neural Information Processing Proceedings (ICONIP) (Vol. 4, p. 1739-1743).