YAROSLAV I. MOLKOV

List of Publications

  1. Papers in peer-reviewed journals

  1. A.G. Maksimov, N.F. Pedersen, P.L. Christiansen, Y.I.Molkov, V.I. Nekorkin (1996) On kink dynamics of the perturbed sine-Gordon equation, Wave Motion 23:203-213.
  2. Y.I. Molkov, M.M.Sushchik, A.V. Yulin, On synchronization of Structures by a small number of couplings (1996) Bulletin of University of Nizhny Novgorod. Nonlinear dynamics - Synchronization and Chaos 1:45-60 (in Russian).
  3. A.G. Maximov, Y.I. Molkov (1996) On the dynamics of the long Josephson's junction with microshort, Bulletin of University of Nizhny Novgorod. Nonlinear dynamics - Synchronization and Chaos 1:147-158 (in Russian).
  4. Y.I. Molkov, M.I. Rabinovich, M.M. Sushchik (1996) On common properties of synchronization of bursts in the neuron models consisting of slow and fast subsystems, Bulletin of University of Nizhny Novgorod. Nonlinear dynamics - Synchronization and Chaos 1:15-34 (in Russian).
  5. A.M. Feigin, I.B. Konovalov, Y.I. Molkov (1997) Mechanisms of complex dynamical behaviour of mesospheric photochemical system, Bulletin of University of Nizhny Novgorod. Nonlinear dynamics - Synchronization and Chaos 2 (in Russian).
  6. A.M. Feigin, I.B. Konovalov, Y.I. Molkov (1998) Toward understanding nonlinear nature of atmospheric photochemistry: Essential dynamic model of the mesospheric photochemical system, J. Geophys. Res. 103(D19):25447-25460.
  7. Y.I. Molkov, M.M. Sushchik, A.S. Kuznetsov, A.K. Kozlov, D.G. Zakharov (1998) A dynamical model of locomotor-like movements evoked by muscle vibration in humans. Bulletin of University of Nizhny Novgorod. Radiofizika 1:63-88 (in Russian).
  8. A.K. Kozlov, M.M. Sushchik, Y.I. Molkov, A.S. Kuznetsov (1998) Symmetry breaking, multistability and chaos in the system of two coupled identical Van-der-Pol - Duffing oscillators. Bulletin of University of Nizhny Novgorod. Radiofizika 1:89-104 (in Russian).
  9. D.G. Zakharov, Y.I. Molkov, M.M. Sushchik, Synchronized oscillations in the system of two coupled Van-der-Pol - Duffing oscillators, Radiophysics and Quantum Electronics, v.41, N 12, 1998, pp.1037-1041.
  10. G.R. Sonnemann, A.M. Feigin, Y.I. Molkov (1999) On the influence of diffusion upon the nonlinear behaviour of the photochemistry of the mesopause region, J. Geophys. Res. 104(D23):30591-30604.
  11. Y.I. Molkov, M.M. Sushchik, A.S. Kuznetsov, A.K. Kozlov, D.G. Zakharov (1999) Dynamical model of locomotor-like movements of human evoked by muscle vibration. Applied Nonlinear Dynamics 7(2-3):107-121 (in Russian with abstract in English).
  12. A.K. Kozlov, M.M. Sushchik, Y.I. Molkov, A.S. Kuznetsov (1999) Bistable phase synchronization and chaos in a system of coupled Van-der-Pol - Duffing oscillators. Int. J. Bifurcation and Chaos 9(12):2271-2277.
  13. A.K. Kozlov, M.M. Sushchik, Y.I. Molkov, A.S. Kuznetsov (1999) Phase synchronization, bistability and chaos in system of two identical Van-der-Pol - Duffing oscillators. Izvestiya Vysshikh Uchebnykh Zavedenii. Fizika 7(1):68-80 (in Russian).
  14. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Prognosis of Qualitative Behaviour of a Dynamic System by the Observed Chaotic Time Series, Radiophysics and Quantum Electronics, v.44, N 5-6, 2001, pp.348-367.
  15. A.M.Feigin, Y.I. Molkov, D.N.Mukhin, E.M.Loskutov (2002) Investigation of Nonlinear Dynamical Properties by the Observed Complex Behaviour as a Basis for Construction of the Dynamical Models of Atmospheric Photochemical Systems, Faraday Discussions 120:105-123.
  16. Y.I. Molkov, D.N. Mukhin, E.V. Suvorov, A.M. Feigin (2003) Bayesian Approach to Retrieving a Vertical Ozone Profile from Radiometric Measurement Data, Radiophysics and Quantum Electronics 46(8-9):675-685.
  17. D.N. Mukhin, A.M. Feigin, Y.I. Molkov, E.V.Suvorov (2006) Bayesian approach to retrieval of vertical ozone profile from radiometry data, Adv. Space Res. 37(12):2292-2298.
  18. D.N. Mukhin, A.M. Feigin, E.M. Loskutov, Y.I. Molkov, Modified Bayesian approach for the reconstruction of dynamical systems from time series, Physical Review E, 2006, vol.73, 036211.
  19. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Markov chain Monte Carlo method in Bayesian reconstruction of dynamical systems from noisy chaotic time series, Physical Review E, 2008, vol.77, 066214.
  20. Y.I. Molkov, Mukhin D.N., Feigin A.M., Loskutov E.M., G.A.Fidelin, Using the minimum description length principle for global reconstruction of dynamic systems from noisy time series, Physical Review E, 2009, vol.80, 046207.
  21. Y.I. Molkov, D.N. Mukhin, E.M. Loskutov, R.I. Timushev, A.M. Feigin, Prognosis of qualitative system behavior by noisy, nonstationary, chaotic time series, Phys. Rev. E 84, 036215 (2011).
  22. Y.I. Molkov, A.P.L. Abdala, B.J. Bacak, J.C. Smith, J.F.R. Paton, I.A. Rybak. Late-Expiratory Activity: Emergence and Interactions with the Respiratory CPG, J. Neurophysiology 104: 2713-2729, 2010.
  23. J.E. Rubin, B.J. Bacak, Y.I. Molkov, N.A. Shevtsova, J.C. Smith, I.A. Rybak. Interacting oscillations in neural control of breathing: modeling and qualitative analysis, J Comput Neurosci. 2011 Jun;30(3):607-32. Epub 2010 Oct 7.
  24. D.M. Baekey+, Y.I. Molkov+, J.F.R. Paton, I.A. Rybak, T.E. Dick. Effect of baroreceptor stimulation on the respiratory pattern: Insights into respiratory-sympathetic interactions. Respir Physiol Neurobiol. 174: 135-145, 2010. +these authors contributed equally to this work.
  25. I.A. Rybak, Y.I. Molkov, J.F.R. Paton, A.P.L. Abdala, D.B. Zoccal, Modeling the Autonomic Nervous System. In: Primer on the Autonomic Nervous System, 3rd edition. Oxford: Academic Press, 2012, pp. 681-688.
  26. Y.I. Molkov, D.B. Zoccal, D.J.A. Moraes, J.F.R. Paton, B.H. Machado, I.A. Rybak, Intermittent Hypoxia-Induced Sensitization of Central Chemoreceptors Contributes to Sympathetic Nerve Activity during Late Expiration in Rats, J Neurophysiol. 2011 Jun;105(6):3080-91.
  27. N.A. Shevtsova, T. Manzke, Y.I. Molkov, A. Bischoff, J.C. Smith, I.A. Rybak, D.W. Richter, Computational modelling of 5-HT receptor-mediated reorganization of the brain stem respiratory network, Eur J Neurosci. 2011 Oct;34(8):1276-91.
  28. Y.V. Yakhno, Y.I. Molkov, D.N. Mukhin, E.M. Loskutov, A.M. Feigin, Reconstruction of an evolution operator as a technique of analysis of epileptiform electric brain activity, Applied Nonlinear Dynamics 2011; 19(6):156-172 (in Russian with abstract in English).
  29. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Random dynamical models from time series, Phys. Rev. E 85, 036216 (2012).
  30. T.E. Dick, Y.I. Molkov, I.A. Rybak, G Nieman, Y.-H. Hsieh, F.J. Jacono, J.Doyle, J.D. Scheff, S.E. Calvano, I.P. Androulakis, G. An, Y. Vodovotz, Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling, Frontiers in Physiology, July 2012, vol. 3, art. 222, pp. 1-9.
  31. P.E. Jasinski+, Y.I. Molkov+, N.A. Shevtsova, J.C. Smith, I.A. Rybak, Sodium and calcium mechanisms of rhythmic bursting in the excitatory neural networks of the pre-Botzinger complex: a computational modeling study, Eur J Neurosci. 2012 Nov 4. [Epub ahead of print] +these authors contributed equally to this study.
  32. Y.I. Molkov, B.J. Bacak, T.E. Dick, I.A. Rybak, Control of breathing by interacting pontine and pulmonary feedback loops. Front. Neural Circuits 2013, 7:16.
  33. Fu D, Tan P, Kuznetsov A, Molkov YI (2014) Chaos and Robustness in a Single Family of Genetic Oscillatory Networks. PLoS ONE 9(3): e90666. doi:10.1371/journal.pone.0090666
  34. Y.I. Molkov, M.V. Zaretskaia, D.V. Zaretsky, Meth Math: Modeling Temperature Responses to Methamphetamine. Am J Physiol Regul Integr Comp Physiol. 2014 Apr;306(8):R552-66. doi: 10.1152/ajpregu.00365.2013. Epub 2014 Feb 5.
  35. I.A. Rybak, Y.I. Molkov, P.E. Jasinski, N.A. Shevtsova, J.C. Smith, Rhythmic bursting in the pre-Botzinger complex: mechanisms and models, Prog Brain Res. 2014;209:1-23. doi: 10.1016/B978-0-444-63274-6.00001-1.
  36. N.A. Shevtsova, D. Busselberg, Y.I. Molkov, A.M. Bischoff, J.C. Smith, D.W. Richter, I.A. Rybak, Effects of Glycinergic Inhibition Failure on Respiratory Rhythm and Pattern Generation, Prog Brain Res. 2014;209:25-38. doi: 10.1016/B978-0-444-63274-6.00002-3.
  37. Y.I. Molkov, Coupled Oscillations in Neural Control of Breathing, Encyclopedia of Computational Neuroscience, Springer Science+Business Media New York 2013. DOI 10.1007/978-1-4614-7320-6_43-2.
  38. Y.I. Molkov, Baroreflex models, Encyclopedia of Computational Neuroscience, Springer Science+Business Media New York 2014. DOI 10.1007/978-1-4614-7320-6_247-2
  39. Y.I. Molkov, D.B. Zoccal, D.M. Baekey, A.P.L. Abdala, B.H. Machado, T.E. Dick, J.F.R. Paton, I.A. Rybak, Physiological and pathophysiological interactions between the respiratory central pattern generator and the sympathetic nervous system, Prog Brain Res. 2014; 212:1-23. doi: 10.1016/B978-0-444-63488-7.00001-X.
  40. Y.I. Molkov, N.A. Shevtsova, C. Park, A. Ben-Tal, J.C. Smith, J.E. Rubin, I.A. Rybak (2014) A Closed-Loop Model of the Respiratory System: Focus on Hypercapnia and Active Expiration, PLoS ONE 9(10): e109894. doi:10.1371/journal.pone.0109894.
  41. Y.I. Molkov, D.V. Zaretsky (2014) Balanced Excitation and Inhibition in Temperature Responses to Meth, Temperature 1(3): 154-156. doi: 10.4161/2167549X.2014.968483.
  42. Y.I. Molkov, B.J. Bacak, A.E. Talpalar, I.A. Rybak (2015) Mechanisms of Left-Right Coordination in Mammalian Locomotor Pattern Generation Circuits: A Mathematical Modeling View, PLoS Comput Biol 11(5): e1004270. doi:10.1371/journal.pcbi.1004270
  43. A. Behrouzvaziri, D. Fu, P. Tan, Y. Yoo, M.V. Zaretskaia, D.E.Rusyniak, Y.I. Molkov#, D.V. Zaretsky# (2015) Orexinergic Neurotransmission in Temperature Responses to Methamphetamine and Stress: Mathematical Modeling as a Data Assimilation Approach, PLoS ONE 05/2015; 10(5):e0126719. #these authors share senior authorship.
  44. Y. Yoo, M. LaPradd, H. Kline, M.V. Zaretskaia, A. Behrouzvaziri, D.E. Rusyniak, Y.I. Molkov#, D.V. Zaretsky# (2015) Exercise Activates Compensatory Thermoregulatory Reaction in Rats: A Modeling Study. J Appl Physiol (1985). 2015 Dec 15;119(12):1400-10. doi: 10.1152/japplphysiol.00392.2015. #these authors share senior authorship.
  45. B.J. Bacak, J. Segaran, Y.I. Molkov (2016) Modeling the effects of extracellular potassium on bursting properties in pre-Botzinger complex neurons, J Comput Neurosci. 40(2):231-45.
  46. V. Marchenko, H. Koizumi, B. Mosher, M. Tariq, N. Koshiya, T. Bezdudnaya, R. Zhang, Y. Molkov, I. Rybak, J. Smith (2016) Perturbations of Respiratory Rhythm and Pattern by Disrupting Synaptic Inhibition within Pre-Botzinger and Botzinger Complexes, eNeuro March/April 2016, 3(2) e0011-16.2016 1-24
  47. W.H. Barnett, A.P. Abdala, J.F.R. Paton, I.A. Rybak, D.B. Zoccal, Y.I. Molkov (2017) Chemoreception and neuroplasticity in respiratory circuits, Experimental Neurology 287: 153-164, doi: 10.1016/j.expneurol.2016.05.036
  48. Y.I. Molkov, D.V. Zaretsky (2016) Why is it easier to run in the cold? Temperature 3(4): 1-3. doi: 10.1080/23328940.2016.1201182
  49. E. Morozova, Y. Yoo, A. Behrouzvaziri, M. Zaretskaia, D. Rusyniak, D. Zaretsky, Y.I. Molkov (2016) Amphetamine enhances endurance by increasing heat dissipation, Physiological Reports, 1(17):e12955
  50. Y.I. Molkov, J.E. Rubin, I.A. Rybak, J.C. Smith (2016) Computational Models of the Neural Control of Breathing, WIREs Systems Biology and Medicine, doi: 10.1002/wsbm.1371
  51. T. Kim, K. Hamade, D. Todorov, W. Barnett, R. Capps, E. Latash, S. Markin, I. Rybak, Y. Molkov (2017) Reward based motor adaptation mediated by basal ganglia, Frontiers in Computational Neurosceince 11(19). doi: 10.3389/fncom.2017.00019
  52. W.W. Teka, K. Hamade, W.H. Barnett, T. Kim, S.N. Markin, I.A. Rybak, Y.I. Molkov (2017) From motor cortex to the movement and back again, PLOS One 12(6): e0179288. https://doi.org/10.1371/journal.pone.0179288.
  53. A. Behrouzvaziri, Y. Yoo, M.V. Zaretskaia, D.E. Rusinyak, D.V. Zaretsky, Y.I. Molkov (2018) Circadian variability of body temperature responses to methamphetamine, Am J Physiol Regul Integr Comp Physiol 314: R43-R48
  54. W.H. Barnett, S. Jenkin, W. Milsom, J.F.R. Paton, A.P.L. Abdala#, Y.I. Molkov#, D.B. Zoccal# (2018) Kolliker-Fuse orchestrates the timing of exipratory abdominal nerve bursting, J. Neurophysiol. 119(2):401-412. #joint senior authors
  55. D.V. Zaretsky, A.A. Romanovsky, M.V. Zaretskaia, Y.I. Molkov (2018) Tissue oxidative metabolism can increase the difference between local temperature and arterial blood temperature by up to 1.3oC: Implications for brain, brown adipose tissue, and muscle physiology, Temperature 5(1): 22-35. https://doi.org/10.1080/23328940.2018.1437311
  56. J. Ausborn, H. Koizumi, W.H. Barnett, T. John, R. Zhang, Y.I. Molkov, J.C. Smith, I.A. Rybak (2018) Organization of the core respiratory network: Insights from optogenetic and modeling studies, PLoS Comput Biol. 14(4):e1006148.
  57. D.B. Zoccal, J.N. Silva, W.H. Barnett, E.V. Lemes, B. Falquetto, E. Colombari, Y.I. Molkov, T.S. Moreira, A.C. Takakura (2018) Interaction between the retrotrapezoid nucleus and the parafacial respiratory group to regulate active expiration and sympathetic activity in rats, Am J Physiol Lung Cell Mol Physiol. 315: L891-L909. doi: 10.1152/ajplung.00011.2018.
  58. T. Kim, R.A. Capps, K.C. Hamade, W.H. Barnett, D.I. Todorov, E.M. Latash, S.N. Markin, I.A. Rybak, Y.I. Molkov (2019) The functional role of striatal cholinergic interneurons in reinforcement learning from computational perspective, Front. Neural Circuits 13:10. doi: 10.3389/fncir.2019.00010
  59. R.S. Phillips, T.T. John, H. Koizumi, Y.I. Molkov, J.C. Smith (2019) Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model, eLife 8:e41555. DOI: https://doi.org/10.7554/eLife.41555
  60. G.M.P.R. Souza, W.H. Barnett, M.R. Amorim, L. Lima-Silveira, D.J.A. Moraes, Y.I. Molkov, B.H. Machado (2019) Pre- and Post-inspiratory neurons changed their firing properties in female rats exposed to chronic intermittent hypoxia, Neuroscience 406:467-486. DOI: https://doi.org/10.1016/j.neuroscience.2019.03.043
  61. D.I. Todorov, R.A. Capps, W.H. Barnett, E.M. Latash, T. Kim, K.C. Hamade, S.N. Markin, I.A. Rybak, Y.I. Molkov (2019) The interplay between cerebellum and basal ganglia in motor adaptation: A modeling study. PLOS ONE 14(4): e0214926. https://doi.org/10.1371/journal.pone.0214926
  62. H. Park, E.M. Latash, Y.I. Molkov, A.N. Klishko, A. Frigon, S.P. DeWeerth, B.I. Prilutsky (2019) Cutaneous sensory feedback from paw pads affects lateral balance control during split-belt locomotion in the cat, Journal of Experimental Biology 222: jeb198648.
  63. K.C. Flor, W.H. Barnett, M. Karlen-Amarante, Y.I. Molkov#, D.B. Zoccal# (2020) Inhibitory control of active expiration by the Botzinger complex in rats, J Physiol. 2020 Jul 4. doi: 10.1113/JP280243. Online ahead of print., #joint senior authors
  64. E.M. Latash, W.H. Barnett, H. Park, J.M. Rider, A.N. Klishko, B.I. Prilutsky, Y.I. Molkov (2020) Frontal plane dynamics of the centre of mass during quadrupedal locomotion on a split-belt treadmill. J R Soc Interface. 2020;17(170):20200547. doi:10.1098/rsif.2020.0547
  65. Barnett, W.H., Latash, E.M., Capps, R.E., Dick, T.E., Wehrwein, E.A., Molkov, Y.I. (2020). Traube-Hering Waves Are Formed by Interaction of Respiratory Sinus Arrhythmia and Pulse Pressure Modulation in Healthy Males. Journal of applied physiology (Bethesda, Md. : 1985) 129(5): 1193-1202. https://doi.org/10.1152/japplphysiol.00452.2020
  66. E.M. Latash, C.G. Lecomte, S.M. Danner, A.Frigon, I.A. Rybak, Y.I. Molkov (2020) On the organization of the locomotor CPG: insights from split-belt locomotion and mathematical modeling, Front. Neurosci. 14:598888 | doi: 10.3389/fnins.2020.598888
  67. W.H. Barnett, D.M. Baekey, J.F.R. Paton, T.E. Dick, E.A. Wehrwein, Y.I. Molkov (2021) Heartbeats entrain breathing via baroreceptor-mediated modulation of expiratory activity, Exp. Physiol. 106: 1181-1195
  68. Zaretsky DV, Zaretskaia MV, Molkov YI. (2022) Membrane channel hypothesis of lysosomal permeabilization by beta-amyloid. Neurosci Lett. 770:136338. doi: 10.1016/j.neulet.2021.136338.
  69. Ryan S. Phillips, Hidehiko Koizumi, Yaroslav I. Molkov, Jonathan E. Rubin, Jeffrey C. Smith (2022) Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator, eLife 11:e74762.
  70. Zaretsky DV, Zaretskaia MV, Molkov YI. (2022) Patients with Alzheimer’s disease have an increased removal rate of soluble beta-amyloid-42, PLoS ONE 17(10): e0276933. https://doi.org/10.1371/journal.pone.0276933
  71. Molkov YI, Zaretskaia MV, Zaretsky DV (2023) Towards the integrative theory of Alzheimer’s disease: linking molecular mechanisms of neurotoxicity, beta-amyloid biomarkers, and the diagnosis, Current Alzheimer Research 20(9):440-452. DOI: 10.2174/1567205020666230821141745
  72. S. John, W. Barnett, A.P. Abdala, D.B. Zoccal, J. Rubin, Y. Molkov (2023) Exploring the role of the Kolliker-Fuse nucleus in breathing variability via mathematical modeling, J Physiol (in press).

  1. Preprints

  1. A.M. Feigin, I.B. Konovalov, Y.I. Molkov, Essential dynamic models of atmospheric photochemical systems: general method of creation and verification by the example of the mesospheric photochemical system, 1997, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 429.
  2. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Prognosis of bifurcations of weakly non-autonomous dynamical systems based on observed time series, 1999, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 508.
  3. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Global reconstruction of dynamical systems by weakly non-stationar noisy chaotic time-series, 2006, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 708.
  4. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, MCMC method for Bayesian reconstruction of dynamical systems by noisy chaotic time series, 2006, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 716.
  5. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Bayesian approach to the reconstruction of random dynamical systems by time series, 2008, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 769.
  6. Y.I. Molkov, E.M. Loskutov, A.M. Feigin, D.N. Mukhin, E.F. Fidelin, Utilization of minimal description length principle for global reconstruction of dynamical systems by noisy time series, 2008, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics, preprint no. 771.
  7. Y.V. Yakhno, Y.I. Molkov, D.N. Mukhin, A.M. Feigin, G.D. Kuznetsova, A.V. Gabova, C.M. van Rijn, Stochastic modeling as a technique of analysis of electric brain activity for assesment of changes in its state (on an example of absence epilepsy), 2011, Nizhniy Novgorod, Russian Academy of Sciences, Institute of Applied Physics.
  8. K.C. Flor, W.H. Barnett, M. Karlen-Amarante, Y.I. Molkov, D.B. Zoccal (2019) Inhibitory control of active expiration by the Botzinger complex in rats, bioRxiv 2019.12.19.883199.
  9. E.M. Latash, C. Lecomte, S.M. Danner, A.Frigon, I.A. Rybak, Y.I. Molkov (2020) On the organization of the locomotor CPG: insights from split-belt locomotion and mathematical modeling, bioRxiv 2020.07.17.205351; doi: https://doi.org/10.1101/2020.07.17.205351
  10. W.H. Barnett, D.M. Baekey, J.F.R. Paton, T.E. Dick, E.A. Wehrwein, Y.I. Molkov (2020) Heartbeats entrain breathing via baroreceptor-mediated modulation of expiratory activity, bioRxiv 2020.12.09.416776; doi: https://doi.org/10.1101/2020.12.09.416776
  11. D.V. Zaretsky, M.V. Zaretskaia, Y.I. Molkov (2021) Membrane channel hypothesis of lysosomal permeabilization by beta-amyloid, bioRxiv 2021.07.31.454606; doi: https://doi.org/10.1101/2021.07.31.454606
  12. H. Koizumi, R.S. Phillips, Y.I. Molkov, J.E. Rubin, J.C. Smith (2021) Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator, bioRxiv 2021.10.29.466442, doi: https://doi.org/10.1101/2021.10.29.466442
  13. Zaretsky DV, Zaretskaia MV, Molkov YI. (2022) Alzheimer's patients have increased cellular amiloyd uptake, medRxiv 2022.01.12.22269196; doi: https://doi.org/10.1101/2022.01.12.22269196
  14. Molkov YI, Zaretskaia MV, Zaretsky DV (2022) Towards the integrative theory of Alzheimer’s disease: linking molecular mechanisms of neurotoxicity, beta-amyloid biomarkers, and the diagnosis, medRxiv 2022.12.07.22283236; doi: https://doi.org/10.1101/2022.12.07.22283236
  15. S. John, W. Barnett, A.P. Abdala, D.B. Zoccal, J. Rubin, Y. Molkov (2023) The role of Kölliker-Fuse nucleus in breathing variability, bioRxiv 2023.06.15.545086; doi: https://doi.org/10.1101/2023.06.15.545086.
  16. Y.I. Molkov, G. Yu, J. Ausborn, J. Bouvier, S.M. Danner, I.A. Rybak (2023) Sensory Feedback and Central Neuronal Interactions in Mouse Locomotion, bioRxiv 2023.10.31.564886

  1. Papers in conference proceedings

  1. A.K.Kozlov, M.M.Sushchik, Y.I.Molkov, A.S.Kuznetsov, Bistable phase synchronization and chaos in a system of coupled Van der Pol - Duffing oscillators, Proc. of International Workshop on "Synchronization, Pattern Formation and Spatio - Temporal Chaos in Coupled Chaotic Oscillators", University of Santiago de Compostella, Santiago de Compostella, Spain, June 7-10, 1998, p. 20.
  2. A.K.Kozlov, M.M.Sushchik, Y.I.Molkov, A.S.Kuznetsov, Phase bistability and chaos in a system of two identical Van der Pol-Duffing oscillators, Proc. 1998 International Symposium on Nonlinear Theory and its Applications (NOLTA'98), Crans - Monana, Switzerland, 1998, V. 2, pp. 527-530.
  3. Y.I.Molkov, M.M.Sushchik, A.S.Kuznetsov, A.K.Kozlov, D.G.Zakharov, Dynamical model for locomotor - like movements of humans, Proc. 1998 International Symposium on Nonlinear Theory and its Applications (NOLTA'98), Crans - Monana, Switzerland, 1998, V. 3, pp. 1325-1328.
  4. M.M.Sushchik, A.S.Kuznetsov, A.K.Kozlov, and Y.I.Molkov, Chaotic Synchronization of Long Chains by a Small Number of Couplings. Proc. of International Conference on Control of Oscillations and Chaos, St. Petersburg, Russia, 5-7 July, 2000, pp. 185-186.
  5. D.G.Zakharov, Y.I. Molkov, M.M. Sushchik, The effect of noise on a bistable regime in the dynamical model of locomotor rhythm, Proceedings of the Second International Conference "Control of Oscillations and Chaos" (COC 2000), Sankt-Peterburg, Russia, 2000, v.III, pp. 457-460.
  6. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Long-term prognosis of small gas atmospheric components evolution by observed time dependencies, Proceedings of International conference "Physics of atmospheric aerosol", Moscow, 12-17 April 1999, pp.480-485.
  7. D.G.Zakharov, Y.I. Molkov, M.M. Sushchik, Influence of random impacts on the system of nonlinearily coupled Van-der-Pole - Duffing oscillators, Proceedings of third scientific conference on Radiophysics, Nizhniy Novgorod State University, 1999, pp.114-115.
  8. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Prognosis of bifurcations of a dynamical system by observed chaotic time series, Proceedings of VI All-Russian young scientists conference "Small atmosphere admixtures: Atmospheric electricity" (Nizhniy Novgorod, 11-13 May 2000), pp.151-169.
  9. Y.I. Molkov, A.M. Feigin, Prognosis of qualitative behavior of dynamical system by non-stationary chaotic time series, Collected lectures "Nonlinear Waves 2002", Nizniy Novgorod, IAP RAS, 2003, pp.34-52.
  10. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, Building parameterized models of dynamical systems by noisy time series, Proceedings of VII All-Russian young scientists conference "Small atmosphere admixtures: Atmospheric electricity and dynamical precessed in the atmosphere" (Nizhniy Novgorod, 13-15 May 2003), pp.163-167.
  11. D.N. Mukhin, A.M. Feigin, Y.I. Molkov, E.V. Suvorov, Bayesian approach to the retrieval of vertical ozone profile from microwave measurement data: realization based on artificial neural networks, Proceedings of VII All-Russian young scientists conference "Small atmosphere admixtures: Atmospheric electricity and dynamical precessed in the atmosphere" (Nizhniy Novgorod, 13-15 May 2003), pp.168-176.
  12. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Statistical approach to the dynamical systems reconstruction, Collected lectures "Nonlinear Waves 2004", Nizniy Novgorod, IAP RAS, 2005, pp.411-425.
  13. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Modification of Bayesian approach as applied to reconstruction of dynamic system from time-series, Proceedings of International Symposium "Topical Problems of Nonlinear Wave Physics", Nizhniy Novgorod, Russia, 2-9 August, 2005, v.1, p.75-76.
  14. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Stochastic models from time series, Proceedings of International Symposium "Topical Problems of Nonlinear Wave Physics", Nizhniy Novgorod, Russia, 20-26 July, 2008, NWP-3, p.36-37.
  15. E.M. Loskutov, A.M. Feigin, Y.I. Molkov, D.N. Mukhin, Reconstruction and prognosis of qualitative behavior of high-dimensional dynamic systems by low-dimensional stochastic models, Proceedings of International Symposium "Topical Problems of Nonlinear Wave Physics", Nizhniy Novgorod, Russia, 20-26 July, 2008, NWP-3, p.62.

  1. Abstracts

  1. Y.I. Molkov, A.G. Maximov, On dynamics of dissipative solitons in the perturbed sine-Gordon equation, Scientific Conference on Radiophysics, Nizhniy Novgorod, NNSU, 1993, pp. 76-77.
  2. Y.I. Molkov, A.G. Maximov, Stationary solutions to the perturbed sine-Gordon equation with a local inhomogeneity, Scientific Conference on Radiophysics, Nizhniy Novgorod, NNSU, 1994, pp. 22-23.
  3. Y.I. Molkov, A.G. Maximov, On soliton trains dynamics in long Josephson junction with inhomogeneity, 1994, Nizhny Novgorod – Moscow, Second International Scientific School-Seminar: Dynamic and Stochastic Wave Phenomena, p. 95.
  4. Y.I. Molkov, M.I. Rabinovich, M.M. Sushchik, Synchronous bursting in coupled neurons, 1996, Nizhny Novgorod, International Conference on Contemporary Problems of Theory of Dynamical Systems.
  5. Y.I. Molkov, M.M. Sushchik, A.V. Yulin, Synchronization of localized structures in circuits at weak inhomogeneous coupling between them, 1996, Nihniy Novgorod, IV Conference on non-linear oscillations of Mechanical Systems, p. 109.
  6. Y.I. Molkov, A.G. Maximov, On dynamics of the perturbed sine-Gordon equation with a local inhomogeneity, 1996, Nihniy Novgorod, IV Conference on non-linear oscillations of Mechanical Systems, p. 101.
  7. Y.I. Molkov, M.I. Rabinovich, M.M. Sushchik, Synchronization of relaxation generators, 1996, Nihniy Novgorod, IV Conference on non-linear oscillations of Mechanical Systems, p. 108.
  8. Y.I. Molkov, M.I. Rabinovich, M.M. Sushchik, Synchronous bursting in coupled neurons, 1997, Snowbird, Utah, USA, Fourth SIAM Conference on Applications of Dynamical Systems, p. 61.
  9. Y.I. Molkov, M.M. Sushchik, A.V. Yulin, Synchronization of structures by a small number of couplings, 1997, Snowbird, Utah, USA, Fourth SIAM Conference on Applications of Dynamical Systems, p. 112-113.
  10. Y. I. Molkov, Minimal model of switches between synchronized states of generators with different phase shifts, 1997, II Nizhniy Novgorod Session of Young Scientists, p. 76.
  11. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Dynamical model of locomotor movements of humans evoked by vibrational stimulation of muscles, 1998, III Nizhniy Novgorod Session of Young Scientists, p. 95.
  12. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Effect of vertical turbulent diffusion on non-linear dynamical properties of the mesospheric photochemical system, 1998, III Nizhniy Novgorod Session of Young Scientists, p. 97-98.
  13. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Reconstruction of dynamical models of atmospheric photochemical systems by a time-series of a single dynamical variable, 1998, III Nizhniy Novgorod Session of Young Scientists, p. 99.
  14. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Nonlinear dynamical properties of the mesospheric photochemical system accounting for vertical turbulent diffusion, II All-Russian Scientific Conference of Students in Radiophysics, S.-Petersburg, 1998.
  15. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Creation of prognostic models of atmospheric photochemical systems from observation data, II All-Russian Scientific Conference of Students in Radiophysics, S.-Petersburg, 1998.
  16. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Phenomenological model of stepping movements of a human evoked by non-resonant vibration, Scientific Conference in Radiophysics dedicated to the 80th anniversary of NNSU named after Lobachevsky, 1998, p. 42.
  17. Y.I. Molkov, M.M. Sushchik, A.K. Kozlov, A.S. Kuznetsov, D.G. Zakharov, Dynamical properties of locomotor apparatus of a human, Days of Nonlinear Dynamics in Nizhniy Novgorod 98, June 30 – July 2, 1998.
  18. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Syncronized oscillations in the system of two coupled Van-der-Pol - Duffing -Rayileigh oscillators, 5th International Scool of Chaotic Oscillations and Pattern Formations (CHAOS’98). Saratov. 1998. P. 61.
  19. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Syncronized oscillations in the system of two coupled Van-der-Pol - Duffing oscillators, II All-Russian Scientific Conference of Students in Radiophysics, S.-Petersburg, 1998, pp. 40-42.
  20. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Construction of prognostic models of nonlinear non-autonomous dynamical systems, 1999, IV Nizhniy Novgorod Session of Young Scientists, p. 154-155.
  21. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Adaptive algorithm for long-term prediction of the behavior of a system exhibiting chaotic dynamics, 1999, IV Nizhniy Novgorod Session of Young Scientists, p. 153-154.
  22. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Prognostic models of non-linear dynamic systems, XXII General Assembly of International Union of Geodesy and Geophysics, (Birmingham, July 19th- 30th, 1999), p. B291.
  23. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Adaptive algorithm for long-term prognosis of observed chaotic dynamics, XXII General Assembly of International Union of Geodesy and Geophysics, (Birmingham, July 19th- 30th, 1999), p. B291.
  24. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Dynamical model of the Central Pattern Generator of a human, V All-Russian Conference on Biomechanics, Nizhniy Novgorod, 2000.
  25. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Effect of random perturbations on a system of coupled Van-Der-Pole – Duffing generators with nonlinear coupling, IV Nizhniy Novgorod Session of Young Scientists, 1999, p. 152.
  26. Y.I. Molkov, M.M. Sushchik, D.G. Zakharov, Effect of additive and multiplicative noises on the dynamics of two nonlinearly coupled Van-Der-Pole – Duffing generators, V Nizhniy Novgorod Session of Young Scientists, 2000, pp. 30-31.
  27. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Prognosis of bifurcations of a dynamical system from observed chaotic time-series, V Nizhniy Novgorod Session of Young Scientists “Small admixtures of the atmosphere. Atmospheric electricity”, May 11-13, 2000, p. 49.
  28. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, On global reconstruction of weakly non-autonomous dynamical systems from observed dynamics aiming to predict their bifurcations, V Nizhniy Novgorod Session of Young Scientists, 2000, pp. 121.
  29. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, On error estimation of non-autonomous system bifurcations prognosis, V Nizhniy Novgorod Scientific Session of Young Scientists, 2000, pp. 122.
  30. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Prognosis of bifurcations of a dynamical system by the observed chaotic time series, International conference the 100th Anniversary of A.A. Andronov «Progress in Nonlinear Science», 2001, p.233.
  31. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Construction of prognostic models of high-dimensional weakly non-autonomous dynamical systems from observed dynamics, VI Nizhniy Novgorod Scientific Session of Young Scientists, 2001, pp. 11.
  32. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Prognosis of qualitative behavior of dynamical systems from chaotic time-series, 6th International Conference CHAOS’01 (Saratov, 2-7 October 2001), Saratov, 2001, p.111.
  33. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Construction of prognostic models of dynamical systems from non-stationary noisy chaotic time-series, 6th International Conference CHAOS’01 (Saratov, 2-7 October 2001), Saratov, 2001, p.112.
  34. Y.I. Molkov, E.V. Suvorov, D.N. Mukhin, A.M. Feigin, Use of artificial neural networks for the reconstruction of height profile of atmospheric ozone concentration form passive radiometry of atmosphere, International Symposium “Atmospheric radiation”, S.-Petersburg, June 18-21, 2002, p. 127.
  35. Y.I. Molkov, E.V. Suvorov, D.N. Mukhin, A.M. Feigin, New method for the reconstruction of height ozone distribution from passive microwave radiometry of atmosphere data, XX All-Russian Conference on Radio waves Propagation, Nizhniy Novgorod, July 2-4, 2002, p. 356.
  36. Y.I. Molkov, E.M. Loskutov, A.M. Feigin, Construction of parameterized models of dynamical systems from noisy chaotic time-series, VII All-Russian Conference of Young Scientists on Small admixtures, atmospheric electricity and dynamical processes in the atmosphere”, Nizhniy Novgorod, May 13-15, 2003, p. 38.
  37. Y.I. Molkov, A.B. Ezersky, A.M. Feigin, A.B. Muchnikov, Construction of a mathematical model of vertex motion of air in a flow behind a cylindrical body from scalar time-series, VII All-Russian Conference of Young Scientists “Small admixtures, atmospheric electricity and dynamical processes in the atmosphere”, Nizhniy Novgorod, May 13-15, 2003, p. 40.
  38. Y.I. Molkov, E.V. Suvorov, D.N. Mukhin, A.M. Feigin, Bayesian approach to the reconstruction of vertical ozone distribution from radiometry measurements data, VII All-Russian Conference of Young Scientists “Small admixtures, atmospheric electricity and dynamical processes in the atmosphere”, Nizhniy Novgorod, May 13-15, 2003, p. 41.
  39. Y.I. Molkov, E.V. Suvorov, D.N. Mukhin, A.M. Feigin, Bayesian approach to retrieval of vertical ozone profile from the radiometry measurements data, 35-th COSPAR Scientific Assembly, Paris, France, 18-25 July 2004, A1.1-0165-04.
  40. D.N. Mukhin, A.M. Feigin, E.M. Loskutov, Y.I. Molkov, Modification of Bayesian approach as applied to reconstruction of dynamic system from time-series: Perfect model class scenario, Geophysical Research Abstracts, Vol. 7, 00567, 2nd EGU General Assembly 2005.
  41. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, Modification of the Bayesian approach as applied to reconstruction of dynamic system from time-series: Imperfect model class scenario, Geophysical Research Abstracts, Vol. 7, 02436, 2nd EGU General Assembly 2005.
  42. Y.I. Molkov, E.V. Suvorov, D.N. Mukhin, A.M. Feigin, Bayesian approach to reconstruction of vertical ozone profile from the radiometry measurements data, VIII All-Russian Conference of Young Scientists “Atmosphere content and electrical processes”, Borok, May 17-19, 2005, p. 79.
  43. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Statistical approach to the reconstruction of dynamical systems from time-series, VIII All-Russian Conference of Young Scientists “Atmosphere content and electrical processes”, Borok, May 17-19, 2005, p. 80.
  44. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, Prognosis of bifurcations of a dynamical system by noisy chaotic time series, Geophysical Research Abstracts, Vol. 8, 06966, 3rd EGU General Assembly 2006.
  45. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, R.I. Timushev, Markov Chain Monte Carlo algorithm for Bayesian reconstruction of a dynamical system by noisy chaotic time series and its application to prognosis of bifurcations, Geophysical Research Abstracts, Vol. 9, 03022, 2007, 4th EGU General Assembly, Vienna, 15-20 April 2007.
  46. D.N. Mukhin, A.M. Feigin, Y.I. Molkov, E.M. Loskutov, Reconstruction of high dimensional dynamic systems from time series by stochastic models, Geophysical Research Abstracts, Vol. 10, 00789, 5th EGU General Assembly 2008.
  47. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, Parameterized modeling of stochastic systems by time series and prognosis of their qualitative behavior, Geophysical Research Abstracts, Vol. 10, 01541, 5th EGU General Assembly 2008.
  48. Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Reconstruction of random dynamical systems from time-series and prognosis of their qualitative behavior, XIV Scientific School “Nonlinear waves – 2008”, Nizhniy Novgorod, 2008, p, 115.
  49. A.M. Feigin, G.A. Fidelin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, Using the minimum description length principle for global reconstruction of dynamic systems from noisy time series, Geophysical Research Abstracts, Vol. 11, EGU2009-1728, 6th EGU General Assembly 2009.
  50. D.N. Mukhin, Y.I. Molkov, A.M. Feigin, E.M. Loskutov, Modelling of high-dimension dynamics by random dynamical systems, Dynamics Days Europe 2009, Aug 31 - Sep 4, Goettingen, Germany
  51. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, R.I. Timushev, Stochastic reconstruction from time series: predictive framework for critical transition in natural systems, Geophysical Research Abstracts, Vol. 12, EGU2010-8253, 2010, 7th EGU General Assembly 2010.
  52. Y. I. Molkov, J.E. Rubin, B.J. Bacak, N.A. Shevtsova, J.C. Smith, I.A. Rybak, Modeling State-Dependent Interactions between BotC/pre-BotC and RTN/pFRG oscillations, Workshop "Dynamics of Bursting Activity of Neurons", April 2010, GSU, Atlanta, GA
  53. A.M. Feigin, E.M. Loskutov, Y.I. Molkov, D.N. Mukhin, R.I. Timushev, Stochastic reconstruction from time series: predictive framework for critical transition in natural systems, Geophysical Research Abstracts, Vol. 12, EGU2010-8253, EGU General Assembly 2010
  54. Y.I. Molkov, D.M. Baekey, J. F. R. Paton, I.A. Rybak, T.E. Dick, Respiratory-sympathetic interactions: Yet another baroreflex pathway? Insights from computational modeling, NHLBI Systems Biology PI meeting, August 2010, University of California, San Diego, CA
  55. I.A. Rybak, A.P. L. Abdala, Y.I. Molkov, B.J. Bacak, J.F. R. Paton, J.C. Smith, Emergence of RTN/pFRG Oscillations and their Interactions with the Respiratory CPG, The Fourth Motor Systems Symposium, November 2010, Salk Institute for Biological Studies, San Diego, CA.
  56. Y.I. Molkov, D.M. Baekey, J.F.R. Paton, T.E. Dick, I.A. Rybak, Brain Stem Neural Mechanisms for Sympatho-Respiratory Coupling and Baroreceptor Reflex, The Fourth Motor Systems Symposium, November 2010, Salk Institute for Biological Studies, San Diego, CA
  57. I.A. Rybak, Y.-H. Hsieh, R. Dhingra, B. J. Bacak, Y. I. Molkov, T. E. Dick, Control of respiratory pattern by interacting pontine and pulmonary feedback loops, 40th Annual Meeting of Socite for Neuroscience, November 2010, San Diego, CA
  58. Y.I. Molkov, D. B. Zoccal, D. J. A. Moraes, D. M. Baekey, T. E. Dick, B. H. Machado, J. F. R. Paton, I. A. Rybak, Sympatho-respiratory coupling: Brainstem mechanisms, 40th Annual Meeting of Socite for Neuroscience, November 2010, San Diego, CA.
  59. A.M. Feigin, E.M. Loskutov, D.N. Mukhin, Y.I. Molkov (2010), Prognosis of qualitative behavior from time series: advantages and limitations of deterministic modeling, Abstract NG43H-1464 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec.
  60. E.M. Loskutov, D.N. Mukhin, Y.I. Molkov, A.M. Feigin (2010) Prognosis of qualitative bechavior from time series: stochastic modeling framework, Abstract NG43H-1459 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec.
  61. Y.I. Molkov, D.M. Baekey, J.F.R. Paton, T.E. Dick, I.A. Rybak, Respiratory-Sympathetic Interactions and Central Baroreflex Pathways: Insights from Computational Modeling, Experimental Biology 2011, April 9-13, Washington, DC
  62. I.A. Rybak, P.E. Jasinski, N.A. Shevtsova, Y.I. Molkov, Modeling and Analysis of Rhythmic Activities in Excitatory Networks of the Brain Stem and Spinal Cord, Experimental Biology 2011, April 9-13, Washington, DC
  63. N.A Shevtsova, A. Bischoff, Y.I. Molkov, T. Manzke, I.A. Rybak, D.W. Richter, Computational Modeling of Serotonin-Evoked Reorganization of the Brain Stem Respiratory Network, Experimental Biology 2011, April 9-13, Washington, DC
  64. D.B. Zoccal, Y.I. Molkov, D.J.A. Moraes, B.H. Machado, J.F.R. Paton, I.A. Rybak, Modeling the effect of changes in central respiratorysympathetic coupling on the sympathetic nerve activity after chronic intermittent hypoxia, Experimental Biology 2011, April 9-13, Washington, DC
  65. Y.I. Molkov, N.A. Shevtsova, P.E. Jasinski, I.A. Rybak, Multiple regimes in neuron models with metabotropic glutamate receptors and NaP and CAN currents, SIAM Conference on Applications of Dynamical Systems, May 2011, Snowbird, UT
  66. A.P.L. Abdala, Y.I. Molkov, I.A. Rybak, J.C. Smith, J.F.R. Paton, Multiple oscillators for respiratory pattern formation, 8th IBRO World Congress of Neuroscience, July 14-18, 2011, Florence, Italy
  67. I.A. Rybak, A.P.L. Abdala, Y.I. Molkov, J.F.R. Paton, J.C. Smith, State-dependent control of the respiratory pattern and coupled oscillators, Twentieth Annual Computational Neuroscience Meeting: CNS*2011, Stockholm, Sweden. 23-28 July 2011 (BMC Neuroscience 2011 12 (Suppl 1):P308.)
  68. Y.I. Molkov, D. B. Zoccal, D. J. A. Moraes, D. M. Baekey, T. E. Dick, B. H. Machado, J. F. R. Paton, I. A. Rybak, Sympatho-respiratory coupling: Brainstem mechanisms, The Indianapolis Society for Neuroscience Annual Meeting, October 7, 2011.
  69. Y.I. Molkov, A. Borgmann, R. Zhang, A.P.L. Abdala, J. F.R. Paton, I. A. Rybak, J.C. Smith, Excitatory and inhibitory interactions in core interneuron circuits of the respiratory CPG, 5th SFN Satellite Symposium on Motor Systems, November, 11th, 2011, National Institutes of Health, Bethesda, MD.
  70. N.A. Shevtsova, A.M. Bischoff, Y.I. Molkov, T. Manzke, J.C. Smith, I.A. Rybak, D.W. Richter, Computational modeling of serotonin-evoked reorganization of the brainstem respiratory network, Society for Neuroscience Annual Meeting, November 12-16, 2011, Washington, DC.
  71. Y.I. Molkov, P.E. Jasinski, N.A. Shevtsova, J.C. Smith, I.A. Rybak, Modeling and analysis of rhythm generation mechanisms in excitatory networks of brain stem and spinal cord, Society for Neuroscience Annual Meeting, November 12-16, 2011, Washington, DC
  72. A. Borgmann, Y.I. Molkov, R. Zhang, A.P.L. Abdala, J.F.R. Paton, I.A. Rybak, J.C. Smith, Reconstruction of synaptic inputs to pre-Botzinger complex neurons in situ, Society for Neuroscience Annual Meeting, November 12-16, 2011, Washington, DC
  73. Y.I. Molkov, P.E. Jasinski, N.A. Shevtsova, J.C. Smith, I.A. Rybak, Modeling and analysis of rhythm generation mechanisms in excitatory networks, COSYNE 2012, February 23-26 2012, Salt Lake City, UT.
  74. Y.I. Molkov, A. Borgmann, R. Zhang, I.A. Rybak, J.C. Smith, Analysis of excitatory and inhibitory interactions at high temporal resolution in core circuits of the respiratory CPG, Annual Computational Neuroscience Meeting: CNS*2012, Atlanta/Decatur, GA. 21-26 July 2012.
  75. Y.I. Molkov, D.V. Zaretsky, M.V. Zaretskaia, D.E. Rusyniak, Modeling Dose-dependent Temperature Responses to Methamphetamine, Annual Computational Neuroscience Meeting: CNS*2012, Atlanta/Decatur, GA. 21-26 July 2012.
  76. I.A. Rybak, P.E. Jasinski, Y.I. Molkov, N.A. Shevtsova, J.C. Smith, Modeling Na+- and Ca2+- dependent mechanisms of rhythmic bursting in excitatory neural networks, Annual Computational Neuroscience Meeting: CNS*2012, Atlanta/Decatur, GA. 21-26 July 2012.
  77. Y.I. Molkov, D.V. Zaretsky, M.V. Zaretskaia, P.J. Durant, D.E. Rusyniak, Meth Math: Modeling temperature responses to methamphetamine, Society for Neuroscience Annual Meeting, October 13-17, 2012, New Orleans, LA
  78. H. Koizumi, Y.I. Molkov, A. Borgmann, R. Zhang, J.C. Smith, Synaptic conductances of pre-Botzinger complex respiratory neurons in vitro and in situ, Society for Neuroscience Annual Meeting, October 13-17, 2012, New Orleans, LA
  79. C. Park, Y.I. Molkov, A. Ben-Tal, N.A. Shevtsova, J.C. Smith, I.A. Rybak, J. Rubin, A computational model of closed loop respiratory control, Society for Neuroscience Annual Meeting, October 13-17, 2012, New Orleans, LA
  80. Y.I. Molkov, D.B. Zoccal, D.M. Baekey, B.H. Machado, T.E. Dick, I.A. Rybak, Modeling interactions of respiratory CPG with autonomic nervous system, The XIIth Oxford Conference on Breathing, Emotion and Evolution, Almelo, 17 - 20 August 2012, The Netherlands
  81. J.C. Smith, Y.I. Molkov, A. Borgmann, H. Koizumi, R. Zhang, I.A. Rybak, Inhibitory and excitatory synaptic interactions in the pre-Botzinger and Botzinger complexes in situ, The XIIth Oxford Conference on Breathing, Emotion and Evolution, Almelo, 17 - 20 August 2012, The Netherlands
  82. I.A. Rybak, P.E. Jasinski, Y.I. Molkov, N.A. Shevtsova, J.C. Smith, Sodium and calcium mechanisms of rhythmic bursting in the pre-Botzinger complex, The XIIth Oxford Conference on Breathing, Emotion and Evolution, Almelo, 17 - 20 August 2012, The Netherlands
  83. N.A. Shevtsova, T. Manzke, Y.I. Molkov, J.C. Smith, A. Bischoff, I.A. Rybak, D.W. Richter, 5-HT receptor-mediated reorganization of the brainstem respiratory network: insights from computational modeling, The XIIth Oxford Conference on Breathing, Emotion and Evolution, Almelo, 17 - 20 August 2012, The Netherlands
  84. A. Borgmann, Y.I. Molkov, H. Koizumi, R. Zhang, I.A. Rybak, J.C. Smith, Reconstruction of synaptic inputs to pre-Botzinger complex neurons in situ, The 10th Gottingen Meeting of the German Neuroscience Society, March 13-16, 2013, Göttingen, Germany
  85. Y.I. Molkov, Multiscale Modeling of Neural Control of Breathing, Multiscale Modeling Consortium (MSM) Webinar, NIBIB, NIH, Bethesda, MD, 30 April 2013.
  86. Y.I. Molkov, B.J. Bacak, T.E. Dick, I.A. Rybak, Control of breathing by interacting pontine and pulmonary feedback loops, Annual Computational Neuroscience Meeting: CNS*2013, Paris, France, 13-18 July 2013.
  87. Y.I. Molkov, D. Fu, P. Tan, M.V. Zaretskaia, D.V. Zaretsky, Orexinergic Neurotransmission in Temperature Responses to Amphetamines, Annual Computational Neuroscience Meeting: CNS*2013, Paris, France, 13-18 July 2013.
  88. Y. Molkov, D. Fu, P. Tan, M. Zaretskaia, D. Zaretsky, Orexinergic Neurotransmission in Temperature Responses to Amphetamines, Indiana CTSI Annual Meeting, IUPUI, Indianapolis, September 13, 2013.
  89. Yeonjoo Yoo, Maire Kelley, Dmitry Zaretsky, Yaroslav Molkov, Core Body Temperature Regulation and Locomotor Activity, IUPUI Research Day 2014, Indianapolis, April 11.
  90. Abolhassan Behrouzvaziri, Daniel Fu, Patrick Tan, Maria Zaretskaia, Daniel Rusyniak, Dmitry Zaretsky, Yaroslav Molkov, Orexinergic Neurotransmission in Temperature Responses to Amphetamines,IUPUI Research Day 2014, Indianapolis, April 11.
  91. Yaroslav I. Molkov, Bartholomew J. Bacak, Ilya A. Rybak, Mathematical modeling and analysis of spinal circuits involved in locomotor pattern generation and frequency-dependent left-right coordination, Annual Computational Neuroscience Meeting: CNS*2014, Quebec City, Canada, July 26-31, 2014.
  92. Y.I. Molkov, N.A. Shevtsova, C. Park, A. Ben-Tal, J.C. Smith, J.E. Rubin, I.A. Rybak, Computational modeling of the respiratory system: Focus on hypercapnia and active expiration, Society for Neuroscience Annual Meeting, November 15-19, 2014, Washington, DC.
  93. A. Behrouzvaziri, D. Fu, P. Tan, Y. Yoo, M. Zaretskaya, D. Rusyniak, D.V. Zaretsky, Y. Molkov, Modeling orexinergic neurotransmission in temperature responses to methamphetamine, Society for Neuroscience Annual Meeting, November 15-19, 2014, Washington, DC.
  94. Y. Yoo, A. Behrouzvaziri, M. Zaretskaya, D. Zaretsky, Y. Molkov, Modeling core body temperature during exercise, Society for Neuroscience Annual Meeting, November 15-19, 2014, Washington, DC.
  95. Dmitry V.Zaretsky, Maria V.Zaretskaia, Yeonjoo Yoo, Abolhassan Behrouzvaziri, Daniel E.Rusyniak, Yaroslav Molkov, Locomotion-thermoregulatory coupling in responses to Methamphetamine (Meth), Society for Neuroscience Annual Meeting, November 15-19, 2014, Washington, DC.
  96. B. Bacak, Y. Molkov, I. Rybak, Computational modeling and qualitative analysis of spinal circuits underlying locomotor pattern generation and frequency-dependent left-right coordination, Society for Neuroscience Annual Meeting, November 15-19, 2014, Washington, DC.
  97. Y. Yoo, M. LaPradd, D. Zaretsky, Y. Molkov, Modeling Core Body Temperature during Exercise, SIAM Conference on Computational Science and Engineering, March 14-18, 2015, Salt Lake City, UT.
  98. Abolhassan Behrouzvaziri, Yeonjoo Yoo, Ekaterina Morozova, Maria Zaretskaia, Dmitry Zaretsky, Yaroslav Molkov, Circadian variability of body temperature responses to Methamphetamine (Meth), IUPUI Research Day 2015, Indianapolis, April 17.
  99. Y. Molkov, B. Bacak, I. Rybak, Left-Right Coordination in Mammalian Locomotor Pattern Generation, Society for Mathematical Biology Annual Meeting, June 30 - July 3, 2015, Atlanta, GA.
  100. Y. Molkov, B. Bacak, I. Rybak, Frequency-Dependent Left-Right Coordination in Locomotor Pattern Generation, SIAM Conference on Applications of Dynamical Systems, May 17-21, 2015, Snowbird, UT.
  101. Y. Molkov, B. Bacak, J. Segaran, I. Rybak, Extracellular potassium concentration defines neuronal bursting properties, Organization for Computational Neuroscience Annual Meeting, July 18–23, 2015, Prague, Czech Republic.
  102. Y.I. Molkov, W.H. Barnett, A.P. Abdala, J.F.R. Paton, D.B. Zoccal, Chemoreception and neuroplasticity in respiratory circuits, 2015 CRCNS PI meeting, Seattle, WA
  103. W. Barnett, A. Abdala, J.F.R. Paton, D. Zoccal, Y. Molkov, Chemoreception and neuroplasticity in the respiratory circuits, An SfN Neuroscience 2015 Satellite Event "Pre-meeting on Rhythmic Motor Circuits", Oct. 16, 2015, Chicago, IL.
  104. W. Barnett, Y. Yoo, S. Freshour, A. Abdala, J.F.R. Paton, D. Zoccal, Y. Molkov, Respiratory-Sympathetic Coupling and the Peripheral Chemoreflex, Society for Neuroscience Annual Meeting, October 17-21, 2015, Chicago, IL.
  105. W. Teka, K. Hamade, S. Markin, R. Rogers, I. Rybak, Y. Molkov, Representation of reaching movements in motor cortex: a modeling perspective, Society for Neuroscience Annual Meeting, October 17-21, 2015, Chicago, IL.
  106. E. Morozova, Y. Yoo, H. Kline, A. Behrouzvaziri, M. Zaretskaia, D. Zaretsky, Y. Molkov, Amphetamine enhances endurance by increasing heat dissipation, Society for Neuroscience Annual Meeting, October 17-21, 2015, Chicago, IL.
  107. A. Behrouzvaziri, Y. Yoo, E. Morozova, M. Zaretskaia, D. Rusyniak, D. Zaretsky, Y. Molkov, Circadian variability of body temperature responses to Methamphetamine (Meth), Society for Neuroscience Annual Meeting, October 17-21, 2015, Chicago, IL.
  108. Y. Molkov, Coupled oscillations in the brainstem respiratory circuits and neurogenic hypertension, 2016*CNS Workshop Dynamical Principles in Neural Circuits, Computational Neuroscience 2016, July 6, Jeju, South Korea
  109. Y. Molkov, K. Hamade, W. Teka, W. Barnett, T. Kim, S. Markin, I. Rybak, Action Selection and Reinforcement Learning in Basal Ganglia during Reaching Movements, Computational Neuroscience 2016, July 2-7, Jeju, South Korea
  110. Daniel Zoccal, William Barnett, Ana Paula Abdala, Julian F.R. Paton and Yaroslav Molkov. Kolliker-Fuse orchestrates timing of abdominal nerve bursting, CRCNS Conference 2016 - October 24-26, Paris, France
  111. W. Barnett, Ana P. Abdala, J.F.R. Paton, D. Zoccal, Y. Molkov, Kolliker Fuse orchestrates timing of abdominal nerve bursting, Society for Neuroscience Annual Meeting, November 12-16, 2016, San Diego, CA
  112. H. Koizumi, W. Barnett, M.F. Tariq, T. John, I.A. Rybak, Y.I. Molkov, J.C. Smith, Optogenetic stimulation of pre-Botzinger complex and Botzinger complex inhibitory neurons reveals a major role of inhibition in respiratory central pattern generation, Society for Neuroscience Annual Meeting, November 12-16, 2016, San Diego, CA
  113. Y. Molkov, A. Abdala, B. Liu, D. Moraes, S. Kasparov, W. Barnett, J. Smith, J. Paton, Glycinergic neurons in the pre-Botzinger complex are crucial for eupnea: an optogenetic study, Society for Neuroscience Annual Meeting, November 12-16, 2016, San Diego, CA
  114. T. Kim, K.C. Hamade, W. Teka, W.H. Barnett, S.N. Markin, I.A. Rybak, Y.I. Molkov, Reward based motor adaptation mediated by basal ganglia, Society for Neuroscience Annual Meeting, November 12-16, 2016, San Diego, CA
  115. W. Barnett, Y. Molkov, A. Abdala, B. Liu, D. Moraes, S. Kasparov, L. Koolen, Y. Molkov, J. Smith, J. Paton, Glycinergic neurons in the pre-Botzinger complex are crucial for eupnea: an optogenetic study, SIAM Conference on Applications of Dynamical Systems, May 21-25, 2017, Snowbird, UT
  116. N. Hama, H. Koizumi, R. Zhang, Y.I. Molkov, J.C. Smith, Temporal patterns of synaptic conductances of respiratory interneurons in juvenile rat brainstem in situ, 40th Annual meeting of the Japan Neuroscience Society, July, 2017, Tokyo, Japan
  117. Y.I. Molkov, A.P.L. Abdala, W.H. Barnett, J.C. Smith, J.F.R. Paton, Optogenetic probing of glycinergic neuron function in brainstem respiratory circuits, CRCNS PI Meeting 2017, June 14-16, Brown University, Providence, RI
  118. D. Todorov, R. Capps, W. Barnett, Y. Molkov, The interplay between basal ganglia and cerebellum in motor adaptation, Computational Neuroscience 2017, July 15-20, Antwerp, Belgium
  119. E.M. Latash, H. Park, W.H. Barnett, A.N. Klishko, B.I. Prilutsky, Y.I. Molkov, Frontal plane dynamics of quadrupedal locomotion on a split-belt treadmill, Progress in Motor Control XI, July 19-22, 2017, Miami, FL
  120. E.M. Latash, H. Park, W.H. Barnett, A.N. Klishko, B.I. Prilutsky, Y.I. Molkov, Frontal plane dynamics of quadrupedal locomotion on a split-belt treadmill, Society for Neuroscience Annual Meeting, November 11-15, 2017, Washington, DC
  121. R. Capps, D. Todorov, W.H. Barnett, Y.I. Molkov, Homeostatic motor adaptation: cerebellum's failure emboldens basal ganglia, Society for Neuroscience Annual Meeting, November 11-15, 2017, Washington, DC
  122. J. Ausborn, H. Koizumi, W.H. Barnett, T. John, R. Zhang, Y.I. Molkov, J.C. Smith, I.A. Rybak, Inhibitory interactions in the brainstem respiratory circuits: Insights from optogenetic studies and computational modeling, Society for Neuroscience Annual Meeting, November 11-15, 2017, Washington, DC
  123. W.H. Barnett, Y.I. Molkov, E. Lemes, B. Falqueto, E. Colombari, A.T. Takakura, T.S. Moreira, D.B. Zoccal, Local glutamatergic transmission in the RTN/pFRG is critical for active expiration and sympathetic overactivity during hypercapnia, Society for Neuroscience Annual Meeting, November 11-15, 2017, Washington, DC
  124. Y.I. Molkov, R. Phillips, T. John, H. Koizumi, J.C. Smith, TRP channels and intracellular calcium dynamics in the pre-B\F6tzinger complex, XIV Oxford Conference on Modelling and Control of Breathing, Merton College, Oxford, United Kingdom, September 17-21, 2017.
  125. D. Todorov, R. Capps, W. Barnett, E.M. Latash, T. Kim, K.C. Hamade, S.N. Markin, I.A. Rybak, Y.I. Molkov, The interplay between basal ganglia and cerebellum in motor adaptation, Advances in Motor Learning & Motor Control Symposium, Society for Neuroscience Meeting, November 10, 2017, Washington, DC
  126. N. Hama, H. Koizumi, R. Zhang, Y.I. Molkov, J.C. Smith, Reconstructed postsynaptic excitatory and inhibitory conductance profiles of respiratory interneurons in rat brainstem in situ reveal network organization of respiratory CPG, 95th Annual meeting of the Physiological Society of Japan, Takamatsu, Kagawa, Japan, March 28-30, 2018.
  127. Y. Molkov, E. Latash, H. Park, A. Klishko, B. Prilutsky, Interactions of balance control and locomotion in cats walking on a split-belt treadmill, 28th Annual Meeting Neural Control of Movement 2018, May 1-5, Santa Fe, NM
  128. Y. Molkov, W. Barnett, L. Koolen, A. Newman-Tancredi, M. Varney, A. Abdala, Serotonergic modulation of breathing: functional role of 5-HT1A receptors, CRCNS Conference 2018, June 13-15, University of California Berkeley, CA
  129. W. Barnett, Y. Molkov, L. Koolen, A. Newman-Tancredi, M. Varney, A. Abdala, Functional role of 5-HT1A receptors in serotonergic modulation of active exhalation, Computational Neuroscience 2018, July 13-18, Seattle, WA
  130. R.A. Capps, T. Kim, K. Hamade, S. Markin, D. Todorov, W.H. Barnett, E.M. Latash, Y. Molkov, Cholinergic modulation of reinforcement learning in the striatum, Computational Neuroscience 2018, July 13-18, Seattle, WA
  131. E. Latash, R. Capps, W. Barnett, Y. Molkov, Brainstem mechanisms of cardio-respiratory coupling, Computational Neuroscience 2018, July 13-18, Seattle, WA
  132. T. Kim, K.C. Hamade, W.H. Barnett, R.A. Capps, E.M. Latash, S.N. Markin, I.A. Rybak, Y.I. Molkov, The role of striatal tonically active neurons in reinforcement learning: a modeling study, Society for Neuroscience Meeting, November 3-7, 2018, San Diego, CA
  133. W.H. Barnett, G.M.P.R. Souza, B.H. Machado, Y.I. Molkov, Sympathetic overactivity after chronic intermittent hypoxia has different mechanisms in male and female rats, Society for Neuroscience Meeting, November 3-7, 2018, San Diego, CA
  134. W.H. Barnett, R.A. Capps, E.M. Latash, D. Baekey, T.E.Dick, J.F.R. Paton, Y.I. Molkov, Brainstem mechanisms of cardio-respiratory coupling, Society for Neuroscience Meeting, November 3-7, 2018, San Diego, CA
  135. Y. Molkov, W. Barnett, R. Capps, E. Latash, D. Baekey, T. Dick, J. Paton, Cardio-Respiratory Interactions: Neural Mechanisms, 2019 SIAM Conference on Dynamical Systems, May 19-23, Snowbird, UT
  136. R.A. Capps, W.H. Barnett, E.M. Latash, E. Wehrwein, Y.I. Molkov, T.E. Dick, Sympathetic and parasympathetic mechanisms of enhanced respiratory modulation of blood pressure and heart rate during slow deep breathing, Computational Neuroscience 2019, July 13-17, Barcelona, Spain
  137. W.H. Barnett, L. Koolen, T.E. Dick, A.P.L. Abdala, Y.I. Molkov, Pontine mechanisms of abnormal breathing, Computational Neuroscience 2019, July 13-17, Barcelona, Spain
  138. E.M. Latash, W.H. Barnett, R.A. Capps, S.M. Danner, I.A. Rybak, Y.I. Molkov, Interlimb coordination during split-belt locomotion: a modeling study, Computational Neuroscience 2019, July 13-17, Barcelona, Spain
  139. Latash, E. M., Barnett, W. H., Capps, R. A., Danner, S. M., Frigon, A., Rybak, I. A., Molkov, Y., Neuroscience 2019, "Cats stepping on a split belt treadmill reveal a functional organization of commissural interactions within the spinal locomotor circuits," Society for Neuroscience, Chicago, United States of America (October 15, 2019).
  140. Barnett, W. H., Flor, K. C., Amarante, M. K., Zoccal, D. B., Molkov, Y., Neuroscience 2019, "Expiratory inhibition is a mechanism for adaptive control of breathing," Society for Neuroscience, Chicago, IL, United States of America (October 15, 2019).
  141. Y.I. Molkov, W.H. Barnett, D.M. Baekey, T.E. Dick, E.A. Wehrwein, "Neural Mechanisms of Cardio-Respiratory Interactions", 13th Annual Society for Neuroscience Satellite Symposium on Motor Systems, Washington, DC, United States of America (October 2020).
  142. Y.I. Molkov, "Complicated relationships between respiration, heart beat and blood pressure", 2020 Virtual Workshop on Motor Control, Cleveland, OH, United States of America (October 2020).
  143. Y.I. Molkov, "Control of steering in quadrupedal locomotion", Virtual conference of the Society for Mathematical Biology, June 2021, Riverside, CA, USA.
  144. Dmitry V. Zaretsky, Maria V. Zaretskaia, and Yaroslav I. Molkov, "Lysosomal permeabilization as a mechanism of amyloid degradation toxicity in Alzheimer's disease", Alzheimer's Association International Conference, July 26-30, 2021, Denver, CO, USA
  145. Yaroslav I. Molkov, Maria V. Zaretskaia, and Dmitry V. Zaretsky, "Bridging the gap between cellular amyloid metabolism and Alzheimer’s disease (AD) clinical data", Alzheimer's Association International Conference, August 2021, San Diego, CA, USA
  146. G. Yu, S.N. Markin, N.A. Shevtsova, S.M. Danner, I.A. Rybak, Y.I. Molkov, "On the role of sensory feedback and central neuronal interactions in locomotor gait and balance control in quadrupeds", Society for Neuroscience, San Diego, CA, United States of America (November 2022).
  147. Andrew Lockhart, Miguel A. Parrilla, Sergey N. Markin, Shravan Tata Ramalingasetty, Natalia A. Shevtsova, Yaroslav I. Molkov, Jessica Ausborn, Ilya A. Rybak, Simon M. Danner, "Comparative investigation of control mechanisms of locomotion and turning using a simulated quadrupedal robot", Society for Neuroscience, San Diego, CA, United States of America (November 2022).
  148. Dmitry V Zaretsky, Maria V. Zaretskaia, Yaroslav I. Molkov, APOE4 allele presence strongly correlates with beta-amyloid cellular uptake rate, AAIC Advancements: APOE, March 6-7, 2023, St. Louis, Missouri