Publications

2023


  • A. Rădulescu, J. Nakuci, S. Evans, S. Muldoon, 2023. Computing brain networks with complex dynamics. Mentored research. Neural Computing and Applications. Link to online article.

  • M. Comerford, A. Rădulescu, K. Cavanagh, 2023. Mandelbrot sets for fixed template iterations . AMS Proceedings.In press.

    • 2022


  • A. Rădulescu, G. Todd, C. Williams, B. Bennink, A. Lemus, H. Chesbro, J. Burgeouis, A. Kopec, D. D. Zuloaga, A. Scimemi, 2022. Estimating the glutamate transporter surface density in mouse hippocampal astrocytes. Mentored research. Plos Computational Biology. Link to online article.

  • E. Kaslik, E. Kökövics, A. Rădulescu, 2022. Stability and bifurcations of two-dimensional systems with distributed delay and applications to a Wilson-Cowan model. Comm in Nonlinear Science and Numerical Simulations. 104; 105984. Link to publisher page.

  • E. Camacho, A. Dobreva, K. Larippa, A. Rădulescu, D. Schmidt, I. Trejo, 2022. Analyzing a mathematical model for metabolic pathways in a single cone to gain insight into pathological mechanisms. Bioscience Reports 42(3). Link to publisher page.

    • 2021


  • A. Rădulescu, S. Ballard, K. Gonzalez, J. Linton, 2021. Dynamic coupling between the COVID epidemic timeline and the behavioral response to PAUSE in New York State counties. Mentored research. Plos One. 16(8): e0255236. Link to publisher page.

  • A. Rădulescu, K. Butera, B. Williams, 2021. Template iterations of quadratic maps and hybrid Mandelbrot sets. Mentored research. Journal of Nonlinear Sicence. 31(22). Link to publisher page.

  • E. T. Camacho, A. Dobreva, K. Larripa, A. Rădulescu, D. Schmidt, I. Trejo, 2021. Mathematical Modeling of Retinal Degeneration: Aerobic Glycolysis in a Single Cone. In: Using Mathematics to Understand Biological Complexity. Springer, Cham. 135-178. (Collaborative and mentoring work supported by the Association for Women in Mathematics.) Link to publisher page.

    • 2020


  • A. Rădulescu, 2020. Course of the first month of the COVID 19 outbreak in the New York State counties. Plos One. 15(9); e0238560. Link to publisher page.

  • Rădulescu, C. Williams, K. Cavanagh, 2020. Management strategies in a SEIR-type model of COVID 19 community spread. Mentored research. Nature: Scientific Reports. 10(1); 1-16. Link to publisher page.

  • E. Kaslik, E. Kökövics, A. Rădulescu, 2020. Wilson-Cowan Neuronal Interaction Models with Distributed Delays. In: Lacarbonara W., Balachandran B., Ma J., Tenreiro Machado J., Stepan G. (eds) New Trends in Nonlinear Dynamics. Springer, Cham. 203-211. Link to publisher page.

  • Kaslik, M. Neamtu, A. Rădulescu, 2020. A time-delay nonlinear model of dopamine-modulated prefrontal-limbic interactions in schizophrenia. In: Lacarbonara W., Balachandran B., Ma J., Tenreiro Machado J., Stepan G. (eds) New Trends in Nonlinear Dynamics. Springer, Cham. 93-201. Link to publisher page.

    • 2019


  • A. Rădulescu, T. Lundgren, 2019. A pharmacokinetic model of lead absorption and calcium competitive dynamics. Mentored research. Nature Scientific Reports. 9(1); 1-27. Link to publisher page.

    • 2018


  • E. Camacho, A. Rădulescu, P. Marshall, S. Wirkus, 2018. A qualitative analysis of ubiquitous regulatory motifs in Saccharomyces Cerevisiae genetic networks. Comm in Nonlinear Science and Numerical Simulations. 69; 148-167. Link to publisher page.

  • A. Rădulescu, S. Evans, 2018. Asymptotic sets in networks of coupled quadratic nodes. Mentored research. Journal of Complex Networks. doi: 10.1093. Link to publisher page.

  • C. Anghel, K. Archer, J-M. Chang, A. Cochran, A. Rădulescu, C. Salafia, R. Turner, K. Djima, L. Zhong, 2018. Simulations of the vascular network growth process for studying placenta structure and function associated with autism. Book chapter in: Understanding Complex Biological Systems with Mathematics, Springer. Pages 145-169. (Collaborative work supported by the Math Biosciences Institute and the Association for Women in Mathematics.) Link to publisher page.

  • C. Anghel, K. Archer, J-M. Chang, A. Cochran, A. Rădulescu, C. Salafia, R. Turner, K. Djima, L. Zhong, 2018. Placental vessel extraction with shearlets, Laplacian eigenmaps, and a conditional generative adversarial network. Book chapter in: Understanding Complex Biological Systems with Mathematics, Springer. Pages 171-196. (Collaborative work supported by the Math Biosciences Institute and the Association for Women in Mathematics.) Link to publisher page.

    • 2017


  • A. Rădulescu, J. Herron, C. Kennedy, A. Scimemi, 2017. Global and local excitation and inhibition shape the dynamics of the cortico-striatal-thalamo-cortical pathway. Mentored research. Nature Scientific Reports. 7 (1); 7608. Link to publisher page.

  • A. Rădulescu, E. Hannon, 2017. Applying fMRI complexity analyses to the single subject: a case study for proposed neurodiagnostics. Mentored research. Neurocase. 23(2); 120-137. Link to publisher page.

    • 2016


  • A. Rădulescu, R. Marra, 2016. A mathematical model of reward and executive circuitry in obsessive compulsive disorder. Mentored research. Journal of Theoretical Biology. 414; 165-175. Link to publisher page.

  • A. Rădulescu, J. Herron, 2016. Ebola impact and quarantine in a network model. Mentored research. American Journal of Undergraduate Research. 13(4). Link to publisher page.

  • A. Rădulescu, A. Pignatelli, 2016. Real and complex behavior for networks of coupled logistic maps. Mentored research. Nonlinear Dynamics. 87(2); 1295-1313. Link to publisher page.

  • E. Camacho, A. Rădulescu, S. Wirkus, 2016. Bifurcation analysis of a photoreceptor interaction model for Retinitis Pigmentosa. Comm in Nonlinear Science and Numerical Simulations. 38; 267-276. Link to publisher page.

  • L. Benney, A. Rădulescu, 2016. An energy balance model of carbon's effect on climate change. Mentored research. Ball State Undergraduate Mathematics Exchange. 10(1); 1-15. Link to publisher page.

  • A. Rădulescu, A. Pignatelli, 2016. Symbolic template iterations of complex quadratic maps. Mentored research. Nonlinear Dynamics. 84(4); 2025-2042. Link to publisher page.

  • A. Rădulescu, 2016. Neural network spectral robustness under perturbations of the underlying graph. Neural computation. 28 (1). Link to publisher page.

    • 2015


  • A. Rădulescu, S. Verduzco-Flores, 2015. Nonlinear network dynamics under perturbations of the underlying graph. Chaos. 25(1). Link to publisher page.

    • 2005-2014


  • A. Rădulescu, L.R. Mujica-Parodi, 2014. Network connectivity modulates power spectrum scale invariance. NeuroImage. 90; 436-448. Link to publisher page.

  • A. Rădulescu, 2013. Input statistics and Hebbian cross-talk effects. Neural Computation. 26 (4). Link to publisher page.

  • A. Rădulescu, L.R. Mujica-Parodi, 2013. Human gender differences in the perception of conspecific alarm chemosensory cues. PLoS ONE. 8(7): e68485. Link to publisher page.

  • A. Rădulescu, P. Adams, 2013. Hebbian crosstalk and input segregation. J Theor Biol. 337; 133-149. Link to publisher page.

  • A. Rădulescu, D. Rubin, H. Strey, L.R. Mujica-Parodi, 2011. Power spectrum scale invariance identifies prefrontal dysregulation in paranoid schizophrenia. Human Brain Mapping. 33 (7); 1582-1593. Link to publisher page.

  • A. Rădulescu, 2011. Quantifying the dynamics of central systemic degeneration in schizophrenia. Book chapter in: Handbook of Schizophrenia Spectrum Disorders. 1st Edition. Volume I: Conceptual Issues and Neurobiological Advances. Springer [Ed. Ritsner, Michael]. Link to publisher page.

  • A. Rădulescu, 2011. Intuitive coding -- vision and delusion. Philosophical Psychology. 24 (2); 145-157. Link to publisher page.

  • A. Rădulescu, 2010. Mechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate model. PLoS ONE 5 (9); e12695. Link to publisher page.

  • A. Rădulescu, L.R. Mujica-Parodi, 2009. A principal component network analysis of prefrontal-limbic fMRI time series in healthy controls and schizophrenia patients. Psychiatry Research: Neuroimaging. 174(3); 184-194. Link to publisher page.

  • A Rădulescu, 2009. A multi-etiology model of dysregulation in schizophrenia. Journal of Theoretical Biology. 259 (2); 269-279. Link to publisher page.

  • A. Rădulescu, P. Adams, K. Cox, 2009. Hebbian errors in learning: an analysis using the Oja model. Journal of Theoretical Biology. 258 (4); 489-501. Link to publisher page.

  • A. Rădulescu, L.R. Mujica-Parodi, 2008. A systems approach to prefrontal-limbic dysregulation in schizophrenia. Neuropsychobiology. 57 (4); 206-216. Link to publisher page.

  • A. Rădulescu, 2008. Schizophrenia - a parameters' game? Journal of Theoretical Biology. 254 (1); 89-98. Link to publisher page.

  • A. Rădulescu, 2008. Computing topological entropy in a space of quartic polynomials. Journal of Statistical Physics. 130 (2); 373-385. Link to publisher page.

  • Rădulescu, 2007. On complexity of quartic polynomials and the Connected Isentropes Conjecture. Discrete and Continuous Dynamical Systems, Series B. 19 (1); 139-175. Link to publisher page.

  • A. Rădulescu, 2005. The Connected Isentropes Conjecture in a space of quartic polynomials, Ph.D. thesis, 2005.
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