 |
|
 |
|
|
|
|
||
|
Publications2008R.C. Muresan, O.F. Jurjut, V.V. Moca, W. Singer, D. Nikolic (2008), The oscillation score: An efficient method for estimating oscillation strength in neuronal activity. Journal of Neurophysiology 99, pp. 1333-1353. D. Nikolic, V.V. Moca, W. Singer and R.C. Muresan (2008), Properties of multivariate data investigated by fractal dimensionality. Journal of Neuroscience Methods 172 (1), pp. 27-33. Pasca S.P., Dronca E., Nemes B., Kaucsár T., Endreffy E., Iftene F., Benga I., Cornean R., Dronca M. (2008), Paraoxonase 1 activities and polymorphisms in autism spectrum disorders. Journal of Cellular and Molecular Medicine, in press. S. P. Pasca, E. Dronca, T. Kaucsár, E. C. Craciun, E. Endreffy, B. K. Ferencz, F. Iftene, I. Benga, R. Cornean, R. Banerjee, M. Dronca (2008), One carbon metabolism disturbances and the C667T MTHFR gene polymorphism in children with autism spectrum disorders. Journal of Cellular and Molecular Medicine, in press. Dronca M., Pasca S.P., Nemes B., Vlase L., Vladutiu D. (2008), Serum paraoxonase 1 activities and homocysteinemia in hemodialysis patients. Clinical chemistry and laboratory medicine 46 (6), pp. 880-881. Pasca S.P., Nesse R.M. (2008), Vomiting is not an adaption for glaucoma (and Darwinian medicine is difficult). Medical Hypotheses, in press. R. V. Florian (2008), Tempotron-like learning with ReSuMe. In V. Kurkova et al. (eds.), Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008), Prague, Czech Republic, pp. 368-375. Lecture Notes in Computer Science 5164, pp. 368-375, Springer, Berlin / Heidelberg. R.C. Muresan, W. Singer, D. Nikolic (2008), The InfoPhase method or how to read neurons with neurons. In V. Kurkova et al. (eds.), Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008), Prague, Czech Republic. Lecture Notes in Computer Science 5164, Springer, Berlin / Heidelberg. V.V. Moca, D. Nikolic, R.C. Muresan (2008), Real and modeled spike trains: Where do they meet? In V. Kurkova et al. (eds.), Proceedings of the 18th International Conference on Artificial Neural Networks (ICANN 2008), Prague, Czech Republic. Lecture Notes in Computer Science 5164, Springer, Berlin / Heidelberg. R. C. Muresan (2008), Dynamics of self-sustained microcircuits examined with regular-spiking readouts. BMC Neuroscience 9 (Suppl 1), p. 37. O. F. Jurjut, D. Nikolic, W. Singer, D. Metzler, R. C. Muresan (2008), Multidimensional patterns of neuronal activity: how do we see them?.BMC Neuroscience 9 (Suppl 1), p. 128. R. V. Florian (2008), Relating reinforcement learning and STDP. Cosyne workshop on Spiking Networks and Reinforcement Learning, Snowbird, UT, USA.
2007R. C. Muresan and C. Savin (2007), Resonance or integration? Self-sustained dynamics and excitability of neural microcircuits. Journal of Neurophysiology 97, pp. 1911-1930. R. V. Florian (2007), Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. Neural Computation 19 (6), pp. 1468-1502. A. Lazar, R. Muresan, E. Stadtler, M. Munk, G. Pipa (2007), Importance of electrophysiological signal features assessed by classification trees. Neurocomputing 70 (10-12), pp. 2017-2021. R. V. Florian (2007), Challenges for interactivist-constructivist robotics. Interactivist Summer Institute 2007, Paris, France. R. V. Florian (2007), Neuromodulation of STDP and reinforcement learning, in K. Josic, M. Matias and J. Rubin (eds.), International Workshop on Coherent Behavior in Neuronal Networks, Mallorca, Spain, p. 33.
2006I. Goga, A. Billard (2006), Development of goal-directed imitation, object manipulation and language in humans and robots. In M. A. Arbib (ed.), Action to Language via the Mirror Neuron System, Cambridge University Press. S. P. Pasca, B. Nemes, L. Vlase, C.E. Gagyi, E. Dronca, A.C. Miu, M. Dronca (2006), High levels of homocysteine and low serum paraoxonase 1 arylesterase activity in children with autism, Life Sciences 78 (19), pp. 2244-2248. R. V. Florian and R. Muresan (2006), Phase precession and recession with STDP and anti-STDP. In S. Kollias et al. (eds.), Proceedings of the 16th International Conference on Artificial Neural Networks (ICANN 2006), Athens, Greece. Lecture Notes in Computer Science 4131, pp. 718-727, Springer-Verlag, Berlin. R. V. Florian (2006), Spiking neural controllers for pushing objects around. In S. Nolfi et al. (eds.), Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB'06), Rome, Italy. Lecture Notes in Artificial Intelligence 4095, pp. 570-581, 2006. Springer-Verlag, Berlin. A. Lazar, G. Pipa, J. Triesch (2006), The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2006). R. V. Florian (2006), Modulation of STDP by a global reward signal leads to reinforcement learning. In D. Terman et al., Conference on Mathematical Neuroscience (Neuromath06), Andorra, pp. 45-46. I. Goga and A. Billard (2006), Visual attention modeling as constraint satisfaction. Sixth International Conference in Epigenetic Robotics, Paris, France. I. Goga and A. Billard (2006), Attention mechanisms for goal-directed action in cognitive agents. Second Towards Autonomous Robotic Systems Conference (TAROS 2006), Guildford, UK. R. V. Florian (2006), Reinforcement learning for spiking neural networks with modulated spike-timing-dependent plasticity. Proceedings of the Tenth International Conference on Cognitive and Neural Systems, p. 126. Boston University, Boston, MA. C. Savin, I. Ignat, R. Muresan (2006), Resonance as an effective mechanism of dynamical stability in large microcircuits of spiking neurons. Fifteenth Annual Computational Neuroscience Meeting (CNS*2006), Edinburgh, UK. A. Lazar, R. Muresan, E. Stadtler, M. Munk, G. Pipa (2006), Importance of electrophysiological signal features assessed by classification trees. Fifteenth Annual Computational Neuroscience Meeting (CNS*2006), Edinburgh, UK. A. Lazar, G. Pipa, J. Triesch, Dynamics and robustness of recurrent spiking networks with STDP and intrinsic plasticity. Fifteenth Annual Computational Neuroscience Meeting (CNS*2006), Edinburgh, UK.
2005R. C. Muresan, G. Pipa, D.W. Wheeler (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. R. V. Florian (2005), A reinforcement learning algorithm for spiking neural networks. In D. Zaharie, D. Petcu, V. Negru, T. Jebelean, G. Ciobanu, A. Cicortas, A. Abraham and M. Paprzycki (eds.), Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005), pp. 299-306. IEEE Computer Society. R. C. Muresan, G. Pipa, R. V. Florian, and D. W. Wheeler (2005), Coherence, memory and conditioning: A modern viewpoint, Neural Information Processing - Letters and Reviews 7 (2), pp. 19-28. R. V. Florian (2005), An evolved spiking neural controller for alternate object pushing by a simulated embodied agent. Proceedings of the Ninth International Conference on Cognitive and Neural Systems, p. 27. Boston University, Boston, MA. 2004R. C. Muresan (2004), Scale independence in the visual system, in Rajapakse, J. C. & Wang, L. (Eds.), Neural information processing: Research and development, pp. 1-18. Springer Verlag, Berlin. R. C. Muresan (2004), The coherence theory: Simple attentional modulation effects, Neurocomputing 58-60C, pp. 949-955, Special Issue: Computational neuroscience: Trends in research. 2003R. C. Muresan (2003), RetinotopicNET: An efficient simulator for retinotopic visual architectures, Proceedings of the European Symposium on Artificial Neural Networks, Bruges, Belgium, pp. 247-254. R. C. Muresan (2003), Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms, Neurocomputing 51, pp. 487-493. R. V. Florian (2003), Exploitation of environmentally-derived sensorimotor isomorphisms. Proceedings of the Seventh International Conference on Cognitive and Neural Systems, p. 50. Boston University, Boston, MA. 2002R. V. Florian (2002), Why
it is important to build robots capable of doing science. In C. G. Prince,
Y. Demiris, Y. Marom, H. Kozima, & C. Balkenius (Eds.), Proceedings of the
Second International
Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems,
Edinburgh, UK. Lund University Cognitive Studies 94, pp. 27-34.
|
|||
|
|
|
|