Gregor Kovacic

Rensselaer Polytechnic Institute, Troy, NY, United States 
Mathematics, Geophysics
"Gregor Kovacic"
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Rafail V. Abramov grad student 2002 RPI
Ibrahim Fatkullin grad student 2002 RPI
Mehmet K. Baran grad student 2003 RPI
Kathryn E. Rasmussen grad student 2008 RPI
Victor Barranca grad student 2013 RPI
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Barranca VJ, Kovačič G, Zhou D, et al. (2016) Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics Neurocomputing. 171: 1313-1322
Newhall KA, Shkarayev MS, Kramer PR, et al. (2015) Synchrony in stochastically driven neuronal networks with complex topologies Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 91
Barranca VJ, Kova?i? G, Zhou D, et al. (2014) Network dynamics for optimal compressive-sensing input-signal recovery. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 042908
Barranca VJ, Kovačič G, Zhou D, et al. (2014) Sparsity and compressed coding in sensory systems. Plos Computational Biology. 10: e1003793
Barranca VJ, Johnson DC, Moyher JL, et al. (2014) Dynamics of the exponential integrate-and-fire model with slow currents and adaptation. Journal of Computational Neuroscience. 37: 161-80
Newhall KA, Atkins EP, Kramer PR, et al. (2013) Random polarization dynamics in a resonant optical medium. Optics Letters. 38: 893-5
Lee W, Kova?i? G, Cai D. (2013) Generation of dispersion in nondispersive nonlinear waves in thermal equilibrium. Proceedings of the National Academy of Sciences of the United States of America. 110: 3237-41
Korotkevich AO, Rasmussen KE, Kovačič G, et al. (2013) Optical pulse dynamics in active metamaterials with positive and negative refractive index Journal of the Optical Society of America B: Optical Physics. 30: 1077-1084
Shkarayev MS, Kovačič G, Cai D. (2012) Topological effects on dynamics in complex pulse-coupled networks of integrate-and-fire type. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 036104
Cai D, Tao L, Shkarayev MS, et al. (2012) The role of fluctuations in coarse-grained descriptions of neuronal networks Communications in Mathematical Sciences. 10: 307-354
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