Ruben A. Tikidji-Hamburyan, Ph.D.

Read about my research in

Physics News Highlights

by American Institute of Physics

Publications in peer-reviewed journals:

  1. Tikidji-Hamburyan R.A.1, Govindaiah G., Guido W., Colonnese M.T. (2023) Synaptic and circuit mechanisms prevent detrimentally precise correlation in developing mammalian visual system. eLife 12:e84333 DOI:10.7554/eLife.84333
  2. Tikidji-Hamburyan R.A.1, Colonnese M.T. (2021) Polynomial, piecewise-Linear, Step (PLS): a simple, scalable and efficient framework for modeling neurons. Frontiers in Neuroinformatics 15: 642933, DOI:10.3389/fninf.2021.642933
  3. Tikidji-Hamburyan, R.A. 1, Kropat, E. & Weber, G. (2020) Preface: operations research in neuroscience II. Annals of Operations Research 289, 1–4
  4. Tikidji-Hamburyan R.A., Canavier C.C. (2020) Shunting Inhibition Improves Synchronization in Heterogeneous Inhibitory Interneuronal Networks with Type 1 Excitability Whereas Hyperpolarizing Inhibition is Better for Type 2 Excitability eNeuro 7(3) ENEURO.0464-19.2020 1–22
  5. Tikidji-Hamburyan R.A.,Leonik C.A., Canavier C.C. (2019) Phase Response Theory Explains Cluster Formation in Sparsely but Strongly Connected Inhibitory Neural Networks and Effects of Jitter due to Sparse Connectivity J Neurophysiol 121: 1125–1142
  6. Kropat, E., Tikidji-Hamburyan, R.A., Weber, G. W. (2017) Operations research in neuroscience. Annals of Operations Research, 258(1): 1–4 (preface for the Special Volume on “Applications of Operations Research for Neuroscience”)
  7. Tikidji-Hamburyan R.A.1, Narayana V., Bozkus Z., El-Ghazawi T.A. (2017) Software for Brain Network Simulations: A Comparative Study Frontiers in Neuroinformatics 11: 46
  8. Canavier C.C., Tikidji-Hamburyan R.A. (2017) Globally Attracting Synchrony in a Network of Oscillators with All-to-All Inhibitory Pulse Coupling Phys. Rev. E 95, 032215
  9. Tikidji-Hamburyan R.A.1, El-Ghazawi T.A., Triplett J.W. (2016) Novel Models of Visual Topographic Map Alignment in the Superior Colliculus PLoS Comput Biol 12(12): e1005315. DOI:10.1371/journal.pcbi.1005315
  10. Tikidji-Hamburyan R.A., Martínez J.J., White J.A., Canavier C.C. (2015) Resonant Interneurons Can Increase Robustness of Gamma Oscillations J Neuroscience 35(47): 15682-15695
  11. Hooper R., Tikidji-Hamburyan R.A. 2, Canavier C.C., Prinz A. (2015) Feedback Control of Variability in the Cycle Period of a Central Pattern Generator J Neurophysiol 114: 2741–2752
  12. Tikidji-Hamburyan R.A., Lin E., Gasparini S., Canavier C.C. (2014) Effect of Heterogeneity and Noise on Cross Frequency Phase-Phase and Phase-Amplitude Coupling. In Special issue “Computations in oscillating neuronal networks”, Network: Computation in Neural Systems 25(1–2): 38–62
  13. Vasilkov V.A., Ischenko I.A., Tikidji-Hamburyan R.A. 1,(2013) Modeling of the localization phenomena of the auditory image caused by brain regions dysfunctions. Biophysics, 58(3): 547-553.
  14. Vasilkov V. A. and Tikidji-Hamburyan R.A.1, (2012) Accurate Detection of Interaural Time Differences by a Population of Slowly Integrating Neurons. Phys. Rev. Lett. 108: 138104.
  15. Vasilkov V. A. and Tikidji-Hamburyan R.A.1, (2010) Study of input jitter influence on interaural time differences sensitivity of EI neuron population Neurocomputers: design and application, 2010, v. 2, 65-72 (in Russian).
  16. L.N. Podladchikova, D.G. Shaposhnikov, A.V. Tikidgji-Hamburyan, T.I. Koltunova, R.A. Tikidgji-Hamburyan, V.I. Gusakova, A.V. Golovan (2009) Model-Based Approach to Study of Mechanisms of Complex Image Viewing, Optical Memory & Neural Networks (Information Optics). v. 18 No. 2, pp 114-121
  17. Podladchikova L.N., Bondar G.G., Ivlev S.A., Tikidji-Hamburyan R.A., Dunin-Barkowski W.L. (2008) Activity Dynamics of the Cerebellar Purkinje Cells at Complex Spike Duration Change. Biophysics v. 53 No. 3 - pp.488-494.
  18. Tikidji – Hamburyan R.1, (2008) Modification of genetic algorithm based on elite selection for search of biologically plausible neuron model parameters. Neuroinformatics, electronic journal, v3, 1: 1-12; pdf (in Russian)
  19. Tikidji – Hamburyan A., Tikidji – Hamburyan R.A.1, (2008) The model of retinal mechanisms of color bound detection. Neurocomputers: design and application, 2008, v. 5-6, 48-53 (in Russian).
  20. Vasilkov V. A. and Tikidji-Hamburyan R.A.1, (2008) Study of possible mechanisms for short time delay detection by E-I neural population. Neurocomputers: design and application, 2008, v. 5-6, 18-28 (in Russian).
  21. Podladchikova L.N., Tikidji-Hamburyan R.A., Bondar G.G., Gusakova V.I., Ivlev S.A., Dunin-Barkowski W.L. (2004) Temporal dynamics of activity of “Fast” and “Slow” neurons in the visual cortex and cerebellum. Neurocomputers: design and application, № 11, pp. 41-49 (in Russian)
  22. Tikidji-Hamburyan R.A.1, Polevaya S.A. (2004) Sound-Source Localization by Neural Network Based on Modified Integrate-and–Fire Neuron Model with Autopolarization. Neurocomputers: design and application, v. 11, pp. 41-49 (in Russian)
  23. Tikidji-Hamburyan, R.A.1, (2002) Modified integrate–and–fire neuron as basic model for biologically plausible neural network. Neurocomputers: design and application, v. 7-8, pp. 97-103 (in Russian).
  24. Zinchenko, S.P., Latush, E.L., Sem, M.F., Tikidji-Hamburyan, R.A. (1992) Dye laser pumped by He–Sr recombination laser, Quantum Electronics, 19, № 9, pp. 860 – 861.

Conference proceedings:

  1. Podladchikova L.N.,Tikidji-Hamburyan R.A., Tikidji-Hamburyan A.V., Shevtsova N.A., Vasilkov V.A., Belova E.I., Ishenko I.A. (2011) Activity synchronization of different neuron types in the columns of the cerebral visual cortex. Apply nonlinear dynamics (in Russian)
  2. Tikidji-Hamburyan R.A. (2010) Detailed modeling of neurons and neuron networks: how to and why. In. lect. of the Moscow annual winter school, Moscow, pp. 49-104 (in Russian).
  3. Ischenko I. A., Vasilkov V. A. and Tikidji-Hamburyan R. A. (2010) Research of influence of internal stochastic processes at primary auditory nuclei neurons system on occurrence in them of phase noise. In proc. of the Moscow annual conference: Neuroinformatics-2010, Moscow, v. 1, pp. 35-43 (in Russian).
  4. Vasilkov V.A., Tikidji-Hamburyan R.A. (2009) Study of robustness of short time delays detection by I-E neurons population with presence of phase noise in input signal. // In proc. of the XI All-Russian Scientific Conference “Neuroinformatics 2009”, Moscow, v.1, pp. 202-210, (in Russian).
  5. Tikidji-Hamburyan R. (2005) Method of search for the connection structure by dynamics of elements activity of natural or biological plausible neural network. In Proc. of the Moscow Annual Conference: Neuroinformatics-2005, Moscow, pp. 116-124 (in Russian).
  6. Tikidji-Hamburyan, R.A. (2003) Analysis of the modified “integrate–and–fire” neuron dynamic properties influenced by the spike generator. In Proc. of the Moscow Annual Conference: Neuroinformatics-2003, Moscow, pp. 123-129 (in Russian).
  7. Tikidji-Hamburyan, R.A. (2002) Thalamic circuitry model based on modified “Integrate–and–Fire Neurons”. In Proc. of the 9^th^ International Conference on Neural Information Processing, Singapore, pp. 576-581.

Conference abstracts/presentations:

  1. Tikidji-Hamburyan R.A., Canavier C.C. (2017) Interneural postinhibitory rebound can mediate gamma oscillations in pyramidal-iterneuronal network. Program No. 83.12, 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2017. Online.
  2. Elcin D,Tikidji-Hamburyan R.A., Canavier C.C. (2017) The effect of neural orienation on action potential generation elicited by transcanial magnetic stimulation: a computational study. Program No. 202.04, 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2017. Online.
  3. Canavier C.C., Tikidji-Hamburyan R.A. (2016) Small conduction delays induce global synchrony in sparsely but strongly connected inhibitory networks. Program No. 462.13, 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online.
  4. Tikidji-Hamburyan R.A., El-Ghazawi T.A., Triplett J.W. (2016) Theoretical models of visual map alignment in the superior colliculus. Program No. 678.10, 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online
  5. Combe1 C. L., Tikidji-Hamburyan R.A., Canavier C. C., Gasparini S.(2015) Frequency-dependent input processing in hippocampal CA1 pyramidal neurons. Program No. 37.04, 2015 Neuroscience Meeting Planner. Chicago, IL: Society for Neuroscience, 2015. Online.
  6. Hooper R., Tikidji-Hamburyan R.A., Canavier C.C., Prinz A. (2014) Estimation of optimal neuron parameters to obtain minimal variability of periods in an oscillatory hybrid network Program No. 40.10, 2014 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2014. Online.
  7. Tikidji-Hamburyan R.A., Canavier C.C. (2014) Gamma networks with sparse, random connectivity: sparse synchrony, clustering and the effect of conduction delays. Program No. 369.10, 2014 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2014. Online.
  8. Hooper R., Tikidji-Hamburyan R.A., Canavier C.C., Prinz A. (2014) Estimation of artificial neuron parameters that obtain a required distribution of coupled system periods in a hybrid network. BMC Neuroscience, 15(Suppl 1), P64.
  9. Tikidji-Hamburyan R.A., Rawlsi E.., Canavier C.C.(2013) Critical role for noise and resonance in gamma band synchronization. Program No..425.16 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online.
  10. Tikidji-Hamburyan R.A., Gasparini S., Canavier C.C.(2012). Two types of theta-gamma nesting in feed-forward oscillatory network. Program No. 147.04. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online
  11. Tikidji-Hamburyan R.A., Canavier C.C (2012) Theta entrainment of gamma modules: effects of heterogeneity and non-stationarity. BMC Neuroscience 2012, 13(Suppl 1):P170
  12. Vasilkov V. A. and Tikidji-Hamburyan R.A.(2011) Resolution of ITD detection: stochastic vs. exquisite system. BMC Neuroscience, 2011. - 12(Suppl 1). - P335.
  13. Vasilkov V and Tikidji-Hamburyan R (2011). ITDs curve steepness is influenced by stochastic delays in auditory pathways. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics.
  14. Tikidji-Hamburyan R. and Dunin-Barkowski W. (2011) Flicker-Fusion Frequency For Acoustic Signals Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics.
  15. Tikidji-Hamburyan R and Tikidji-Hamburyan A (2009). Calmodulin-calcium complexes kinetics as a source of nonlinearity for calcium dependent plasticity. Frontiers in Neuroinformatics. Conference Abstract: 2nd INCF Congress of Neuroinformatics
  16. Vasilkov V, Ischenko I and Tikidji-Hamburyan R (2009). A hierarchical neural model sensitive to interaural time differences. Frontiers in Neuroinformatics. Conference Abstract: 2nd INCF Congress of Neuroinformatics.
  17. Tikidji-Hamburyan R. (2009) Nonlinear behavior of kinetics of calmodulin-calcium complexes* BMC Neuroscience 2009, 10(Suppl 1):P223
  18. Vasilkov V.A., Tikidji-Hamburyan R.A. (2009) Interaural time difference detection by the auditory system model in the presence of phase noise* BMC Neuroscience 2009, 10(Suppl 1):P314.
  19. Tikidji-Hamburyan R., Markin S. (2008) NeuroCAD - the Modular Simulation Environment for Effective Biologically Plausible Neuromodeling. BMC Neuroscience 2008, 9(Suppl 1):P91
  20. Tikidji-Hamburyan R. (2008) Genetic Algorithm Modification to Speed Up Parameters Fitting of Multicompartment Neuron Model BMC Neuroscience 2008, 9(Suppl 1):P90
  21. Vasilkov V.A., Tikidji-Hamburyan R.A. (2008) Study of additional mechanism of short time delay detection in input signal by the homological neural network. BMC Neuroscience 2008, 9(Suppl 1):P12
  22. Tikidji-Hamburyan R. and Polevaya S. (2004) Sound-source localization by neural network based on modified “Integrate-and-Fire Neuron” model with autopolarization. In: Computational Neuroscience 2004 Abstracts Book, pp. 96.

  1. corresponding author; ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎

  2. second first author. ↩︎