Recent (a/bioRxiv) papers

  1. Krishnan, G.P., Tadros, T., Ramyaa, R., Bazhenov, M., Biologically inspired sleep algorithm for artificial neural networks. 2019. arXiv:1908.02240
  2. Pavel Sanda, Paola Malerba, Xi Jiang, Giri P. Krishnan,  Sydney Cash, Eric Halgren, Maxim Bazhenov. Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Large-Scale Sleep Rhythm bioRxiv 568881; doi: https://doi.org/10.1101/568881
  3. Paola Malerba, Matt W Jones, Maxim Bazhenov. Defining the synaptic mechanisms that tune CA3-CA1 reactivation during sharp-wave ripples. bioRxiv 164699; 2018, doi: https://doi.org/10.1101/164699
  4. Paola Malerba, Katya Tsimring, Maxim Bazhenov. Learning-induced sequence reactivation during sharp-wave ripples: a computational study. bioRxiv 207894; doi: https://doi.org/10.1101/207894

Sleep, Plasticity, Oscillations, Memory Consolidation

    1. Oscar C González, Yury Sokolov, Giri P Krishnan, Jean Erik Delanois, Maxim Bazhenov. Can sleep protect memories from catastrophic forgetting? eLife 2020;9:e51005
    2. Tadros, T., Krishnan, G.P., Ramyaa, R., Bazhenov, M., Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks, ICLR 2020.
    3. Yina Wei, Giri Krishnan, Lisa Marshall, Thomas Martinetz, Maxim Bazhenov. Stimulation augments spike sequence replay and memory consolidation during slow-wave sleep. J Neurosci. 2020 Jan 22;40(4):811-824. doi: 10.1523/JNEUROSCI.1427-19.2019. 
    4. Komarov M, Malerba P, Golden R, Nunez P, Halgren E, Bazhenov M. Selective recruitment of cortical neurons by electrical stimulation. PLoS Comput Biol. 2019 Aug 26;15(8):e1007277. doi: 10.1371/journal.pcbi.1007277. eCollection 2019 Aug.
    5. Mohsen Naji, Giri Krishnan, Elizabeth A. McDevitt, Maxim Bazhenov, Sara C. Mednick. Coupling of autonomic and central events during sleep boosts declarative memory consolidation. Neurobiol Learn Mem. 2019 Jan;157:139-150. doi: 10.1016/j.nlm.2018.12.008. Epub 2018 Dec 16.

    6. Rosen BQ, Krishnan GP, Sanda P, Komarov M, Sejnowski T, Rulkov N, Ulbert I, Eross L, Madsen J, Devinsky O, Doyle W, Fabo D, Cash S, Bazhenov M, Halgren E. Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics. J Neurosci Methods. 2019 Mar 15;316:46-57. doi: 10.1016/j.jneumeth.2018.10.002.

    7. P Malerba, M Bazhenov. Circuit Mechanisms of Hippocampal Reactivation During Sleep. Neurobiology of Learning and Memory, 2018 May 1. pii: S1074-7427(18)30103-5. doi: 10.1016/j.nlm.2018.04.018
    8. M Naji, M Komarov, GP Krishnan, A Malhotra, F Powell, I Rukhadze, VB. Fenik, M Bazhenov. Computational model of brainstem circuit for state-dependent control of hypoglossal motoneurons. J Neurophysiol. 2018 Jul 1;120(1):296-305. doi: 10.1152/jn.00728.2017.
    9. Moldakarimov S, Bazhenov M, Feldman D, Sejnowski TJ. 2018. Structured networks support sparse traveling waves in rodent somatosensory cortex, Proc Natl Acad Sci U S A, May 15;115(20):5277-5282. doi: 10.1073/pnas.1710202115
    10. Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov. Thalamocortical and Intracortical Laminar Connectivity Determines Sleep Spindle Properties. PLoS Comput Biol. 2018 Jun 27;14(6):e1006171. doi:10.1371/journal.pcbi.1006171.
    11. GP Krishnan, OC Gonzalez, M Bazhenov. Origin of Slow Spontaneous Resting-State Neuronal Fluctuations in Brain Networks. 2018 Jun 26;115(26):6858-6863. doi: 10.1073/pnas.1715841115.
    12. Yina Wei, Giri P. Krishnan, Maxim Komarov, Maxim Bazhenov. Differential roles of sleep spindles and sleep slow oscillations in memory consolidation. PLoS Comput Biol. 2018 Jul 9;14(7):e1006322. doi: 10.1371/journal.pcbi.1006322.
    13. TW Lin, A Das, GP Krishnan, M Bazhenov, TJ Sejnowski. Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. 2017, arXiv preprint arXiv:1706.02451
    14. Sanda P, Skorheim S, Bazhenov M. Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task. PLoS Comput Biol. 2017 Sep 29;13(9):e1005705. doi: 10.1371/journal.pcbi.1005705.
    15. Z Xu, S Skorheim, M Tu, V Berisha, S Yu, J Seo, M Bazhenov, Y Cao. Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing 2017, 267, 141-151
    16. Malerba P, Straudi S, Fregni F, Bazhenov M, Basaglia N. Using Biophysical Models to Understand the Effect of tDCS on Neurorehabilitation: Searching for Optimal Covariates to Enhance Poststroke Recovery. Front Neurol. 2017 Feb 23;8:58. doi: 10.3389/fneur.2017.00058.
    17. Bannon NM, Chistiakova M, Chen JY, Bazhenov M, Volgushev M. Adenosine Shifts Plasticity Regimes between Associative and Homeostatic by Modulating Heterosynaptic Changes. J Neurosci. 2017 Feb 8;37(6):1439-1452. doi: 10.1523/JNEUROSCI.2984-16.2016. Epub 2016 Dec 27.
    18. Krishnan GP, Chauvette S, Shamie I, Soltani S, Timofeev I, Cash SS, Halgren E, Bazhenov M. Cellular and neurochemical basis of sleep stages in the thalamocortical network. Elife. 2016 Nov 16;5. pii: e18607. doi: 10.7554/eLife.18607.
    19. Volgushev M, Chen JY, Ilin V, Goz R, Chistiakova M, Bazhenov M. Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning. J Neurosci. 2016 Aug 24;36(34):8842-55. doi: 10.1523/JNEUROSCI.0552-16.2016.
    20. Malerba P, Krishnan GP, Fellous JM, Bazhenov M. Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput Biol. 2016 Apr 19;12(4):e1004880. doi: 10.1371/journal.pcbi.1004880.
    21. Wei Y, Krishnan GP, Bazhenov M. Synaptic Mechanisms of Memory Consolidation during Sleep Slow Oscillations. J Neurosci. 2016 Apr 13;36(15):4231-47. doi: 10.1523/JNEUROSCI.3648-15.2016.
    22. Niknazar M, Krishnan GP, Bazhenov M, Mednick SC. Coupling of Thalamocortical Sleep Oscillations Are Important for Memory Consolidation in Humans. PLoS One. 2015 Dec 15;10(12):e0144720. doi: 10.1371/journal.pone.0144720. eCollection 2015.
    23. Chistiakova M, Bannon NM, Chen JY, Bazhenov M, Volgushev M. Homeostatic role of heterosynaptic plasticity: models and experiments. Front Comput Neurosci. 2015 Jul 13;9:89. doi: 10.3389/fncom.2015.00089.
    24. Moldakarimov S, Bazhenov M, Sejnowski TJ. Feedback stabilizes propagation of synchronous spiking in cortical neural networks. Proc Natl Acad Sci U S A. 2015 Feb 24;112(8):2545-50.
    25. Lemieux M, Chen JY, Lonjers P, Bazhenov M, Timofeev I. The impact of cortical deafferentation on the neocortical slow oscillation. J Neurosci. 2014 Apr 16;34(16):5689-703.
    26. Mak-McCully RA, Deiss SR, Rosen BQ, Jung KY, Sejnowski TJ, Bastuji H, Rey M, Cash SS, Bazhenov M, Halgren E. Synchronization of isolated downstates (K-complexes) may be caused by cortically-induced disruption of thalamic spindling. PLoS Comput Biol. 2014 Sep 25;10(9):e1003855. doi: 10.1371/journal.pcbi.1003855.
    27. Skorheim S, Razak K, Bazhenov M. Network models of frequency modulated sweep detection. PLoS One. 2014 Dec 16;9(12):e115196. doi: 10.1371/journal.pone.0115196.
    28. Moldakarimov S, Bazhenov M, Sejnowski TJ., Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning.PLoS Comput Biol. 2014 Aug 14;10(8):e1003770
    29. Skorheim S, Lonjers P, Bazhenov M. A spiking network model of decision making employing rewarded STDP. PLoS One. 2014 Mar 14;9(3):e90821
    30. Chistiakova M, Bannon NM, Bazhenov M, Volgushev M. Heterosynaptic Plasticity: Multiple Mechanisms and Multiple Roles. Neuroscientist. 2014 Apr 11
    31. Lemieux M, Chen JY, Lonjers P, Bazhenov M, Timofeev I. The impact of cortical deafferentation on the neocortical slow oscillation. J Neurosci. 2014 Apr 16;34(16):5689-703.
    32. Krishnan GP, Bazhenov M, Pikovsky A. Multipulse phase resetting curves. Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Oct;88(4):042902
    33. Chen JY, Lonjers P, Lee C, Chistiakova M, Volgushev M, Bazhenov M. Heterosynaptic plasticity prevents runaway synaptic dynamics.  J Neurosci. 2013 Oct 2;33(40):15915-29.
    34. Skorheim S, Lonjers P, Bazhenov M. A Spiking Network Model of Decision Making Employing Rewarded STDP. PLoS One. 2014 Mar 14;9(3):e90821.
    35. Chistiakova M, Bannon NM, Bazhenov M, Volgushev M. Heterosynaptic Plasticity: Multiple Mechanisms and Multiple Roles. Neuroscientist. 2014 Apr 11.
    36. Lemieux M, Chen J-Y, Lonjers P, Bazhenov M, Timofeev I. The impact of cortical deafferentation on the neocortical slow oscillation.  Journal of Neuroscience, April, 2014
    37. Chen JY, Chauvette S, Skorheim S, Timofeev I, Bazhenov M. Interneuron-mediated inhibition synchronizes neuronal activity during slow oscillation. J Physiol. 2012 May 28.
    38. Bazhenov, M., Mackeig, S. Multiscale. EEG Dynamics and Brain Function. Principles of Brain Dynamics: Global State Interactions. Editors: M. Rabinovich and P. Varona, 2012, MIT.
    39. Bonjean M, Baker T, Bazhenov M, Cash S, Halgren E, Sejnowski T. Interactions between core and matrix thalamocortical projections in human sleep spindle synchronization. J Neurosci. 2012 Apr 11;32(15):5250-63.
    40. Bazhenov M, Lonjers P, Skorheim S, Bedard C, Destexhe A. Non-homogeneous extracellular resistivity affects the current-source density profiles of Up/Down state oscillations. Philosophical Transactions of the Royal Society A. 2011, Oct 13;369(1952):3802-19
    41. Bonjean, M., Baker, T., Lemieux , M., Timofeev, I., Sejnowski, T.J., Bazhenov, M. Corticothalamic Feedback Controls Sleep Spindle Duration In Vivo. Journal of Neuroscience. 2011. Vol. 31: 25 p.9124-34.
    42. Moldakarimov S, Bazhenov M, Sejnowski TJ. Perceptual priming leads to reduction of gamma frequency oscillations.Proc Natl Acad Sci U S A. 2010 Mar 23;107(12):5640-5.
    43. Moldakarimov S, Bazhenov M, Sejnowski TJ. Representation sharpening can explain perceptual priming. Neural Comput. 2010 May;22(5):1312-32.
    44. M.Bazhenov, N.F.Rulkov and I.Timofeev. Effect of Synaptic Connectivity on Long-Range Synchronization of Fast Cortical Oscillations. Journal of Neurophys, 2008, Sep;100(3):1562-75.
    45. N.F.Rulkov and M.Bazhenov. Oscillations and synchrony in large-scale models of cortical network. J Biological Physics, 2008, 34:279-299.
    46. M.Bazhenov and I.Timofeev. Intrinsic and synaptic mechanisms of cortical active states generation during slow wave sleep. In: “Mechanisms of spontaneous active states in the neocortex”, Editor: Igor Timofeev, Research Signpost 2007, 37/661 (2).
    47. F.Frohlich and M.Bazhenov. Coexistence of tonic firing and bursting in cortical neurons. Physical Review E, 2006 Sept 28; Vol. 74, No. 3.
    48. M.Bazhenov and I.Timofeev. Thalamocortical Oscillations. Scholarpedia, 2006, p. 2143.
    49. M.Bazhenov, N.Rulkov, J.-M.Fellous, I.Timofeev. Role of network dynamics in shaping spike timing reliability. Physical Review E, 72, 041903 2005.
    50. I.Timofeev and M.Bazhenov. Mechanisms and biological role of thalamocortical oscillations. In: “Trends in Chronobiology Research”, Editor: Frank Columbus, 2005, 1-47.
    51. N.Rulkov, I.Timofeev and M.Bazhenov. Oscillations in large-scale cortical networks: map-based model. Journal of Computational Neuroscience 2004 Sep-Oct;17(2):203-23.
    52. P.Fuentealba, I.Timofeev, M.Bazhenov, T.J.Sejnowski and M.Steriade. Membrane bistability in thalamic reticular neurons during spindle oscillations. J.Neurophys., 2005 Jan;93(1):294-304.
    53. P.Fuentealba, S.Crochet, I.Timofeev, M.Bazhenov, T.J.Sejnowski and M.Steriade. Experimental evidence and modeling studies support a synchronizing role for electrical coupling in the cat thalamic reticular neurons in vivo. Eur J Neurosci. 2004 Jul;20(1):111-9.
    54. M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Model of thalamocortical slow-wave-sleep oscillations and transitions to activated states. J.Neurosci. 2002 Oct 1;22(19):8691-704.
    55. F.Howell, M.Bazhenov, P.Rogister, T.Sejnowski and N.Goddard. Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing, 2002 Jun 44-46: 453-458
    56. A.Houweling, M.Bazhenov, I.Timofeev, F. Grenier, M.Steriade and T.J.Sejnowski. Frequency-selective augmenting responses by short-term synaptic depression in cat neocortex. J Physiol. 2002 Jul 15;542(Pt 2):599-617.
    57. I.Timofeev, F. Grenier, M.Bazhenov, A.Houweling, T.J.Sejnowski and M.Steriade. Short- and medium-term plasticity associated with augmenting responses in cortical slabs and spindles in intact cortex of cats in vivo. J Physiol. 2002 Jul 15;542(Pt 2):583-98.
    58. I.Timofeev, M.Bazhenov, T.J.Sejnowski and M.Steriade. Contribution of intrinsic and synaptic factors in the desynchronization of thalamic oscillatory activity. Thalamus & Related System 1 (2001) 53-69.
    59. I.Timofeev, F.Grenier, M.Bazhenov, T.J.Sejnowski and M.Steriade. Origin of slow cortical oscillations in the deafferented cortical slab. Cerebral Cortex 10 (2000) 1185-1199.
    60. M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Spiking-bursting activity in the thalamic reticular nucleus initiates sequences of spindle oscillations in thalamic networks. Journal of Neurophysiology 84 (2000) 1076-1087.
    61. A.R.Houweling, M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Cortical and thalamic components of augmenting responses: a modeling study. Neurocomputing 26 (1999) 735-742.
    62. M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Self-sustained rhythmic activity in the thalamic reticular nucleus mediated by depolarizing GABA-A receptor potentials. Nature Neuroscience 2 (1999) 168-174.
    63. M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Computational Models of Thalamocortical Augmenting Responses. Journal of Neuroscience 18 (16) (1998) 6444-6465.
    64. M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Cellular and network models for intrathalamic augmenting responses during 10 Hz stimulation. Journal of Neurophysiology 79 (1998) 2730-2748.
    65. M.Rabinovich, R.Huerta, M.Bazhenov, A.K.Kozlov and H.D.I.Abarbanel. Computer simulations of stimulus dependent state switching in basic circuits of bursting neurons. Physical Review E 58 (1998) 6418-6430.
    66. M.Bazhenov, R.Huerta, M.Rabinovich, T.Sejnowski. Cooperative behavior of a chain of synaptically coupled chaotic neurons. Physica D 116 (1998) 392-400.
    67. R.Huerta, M.Bazhenov, M.Rabinovich. Clusters of synchronization and bistability in lattices of chaotic neurons. Europhysics Letters 43 (1998) 719-724.
    68. R.Huerta, M.Rabinovich, H.Abarbanel, M.Bazhenov. Spike-train bifurcation scaling in two coupled chaotic neurons. Physical Review E 55 (1997) R2108-R2110.
    69. A.K.Kozlov, R.Huerta, M.I.Rabinovich, H.D.I.Abarbanel, M.V.Bazhenov. Neuronal ensembles with balanced interconnection as receptors of information. Doklady Akademii Nauk 357(4-6) (1997) 752-757. Translation: Physics-Doklady 42(12) (1997) 664-669.
    70. H.Abarbanel, M.Rabinovich, A.Selverston, M.Bazhenov, R.Huerta, M.Sushchik and L.Rubchinsky. Synchronization in neural networks. Physics-Uspekhi 39(4) (1996) 337-362.
    71. M.V.Bazhenov, M.I.Rabinovich, L.L.Rubchinsky. A simple model for a neuron with complex oscillatory activity. Izv. VUZov. Prikladnaya nelineinaya dinamika 4(1) (1996) 33-39.
    72. M.Bazhenov, M.Rabinovich and L.Rubchinsky. An oscillatory neural network unit model. In: Chaotic, Fractal, and Nonlinear Signal Processing. R.A.Katz ed. AIP Press (1996) 726-733.

Cancer

      1. S Haney, J Konen, AI Marcus, M Bazhenov. The Complex Ecosystem in Non Small Cell Lung Cancer Invasion. bioRxiv, 176446, 2017, doi: https://doi.org/10.1101/176446
      2. Seth Haney, Tannishtha Reya and Maxim Bazhenov. Delayed onset of symptoms through feedback interference in chronic cancers. Convergent Science Physical Oncology, Volume 2, Number 4

Olfaction

    1. Collins Assisi, Mark Stopfer, Maxim Bazhenov. Optimal sparse olfactory representations persist in a plastic network. bioRxiv 528125; doi: https://doi.org/10.1101/52812
    2. S Haney, D Saha, B Raman, M Bazhenov. 2018. Differential Effects of Adaptation on Odor Discrimination. Journal of Neurophysiology 2018 Mar 28. doi: 10.1152/jn.00389.2017
    3. Komarov M, Bazhenov M. Linking dynamics of the inhibitory network to the input structure. J Comput Neurosci. 2016 Dec;41(3):367-391. Epub 2016 Sep 21.
    4. Sanda P, Kee T, Gupta N, Stopfer M, Bazhenov M. Classification of odorants across layers in locust olfactory pathway. J Neurophysiol. 2016 May 1;115(5):2303-16. doi: 10.1152/jn.00921.2015. Epub 2016 Feb 10.
    5. Kee T, Sanda P, Gupta N, Stopfer M, Bazhenov M. Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit. PLoS Comput Biol. 2015 Oct 12;11(10):e1004531. doi: 10.1371/journal.pcbi.1004531.
    6. Chen JY, Marachlian E, Assisi C, Huerta R, Smith BH, Locatelli F, Bazhenov M. Learning modifies odor mixture processing to improve detection of relevant components. J Neurosci. 2015 Jan 7;35(1):179-97.
    7. Sinakevitch IT, Smith AN, Locatelli F, Huerta R, Bazhenov M, Smith BH. Apis mellifera octopamine receptor 1 (AmOA1) expression in antennal lobe networks of the honey bee (Apis mellifera) and fruit fly (Drosophila melanogaster).  Front Syst Neurosci. 2013 Oct 25;7:70.
    8. Bazhenov M, Huerta R, Smith B. A computational framework for understanding decision making through integration of basic learning rules, Journal of Neuroscience, 2013 Mar 27;33(13):5686-97.
    9. Bazhenov M and Stopfer M. Olfactory computation in antennal lobe and mushroom bodies, Encyclopedia of Computational Neuroscience, Springer, 2013.
    10. Smith, B., Huerta, R., Bazhenov, M., Sinakevitch, I. Distributed Plasticity for Olfactory Learning and Memory in the Honey Bee Brain. Honeybee Neurobiology and Behavior: A Tribute to Randolf Menzel. Editors: G.C. Galizia. 2012. Springer Science+Business Media B.V.
    11. Assisi C, Stopfer M, Bazhenov M. Excitatory local interneurons enhance tuning of sensory information. PLoS Computational Biology, 2012, Jul;8(7):e1002563.
    12. Assisi C, Bazhenov M. Synaptic inhibition controls transient oscillatory synchronization in a model of the insect olfactory system. Front Neuroeng. 2012;5:7. Epub 2012 Apr 18.
    13. Assisi C, Stopfer M, Bazhenov M. Using the structure of inhibitory networks to unravel mechanisms of spatiotemporal patterning. Neuron. 2011 Jan 27;69(2):373-86.
    14. Bazhenov M, Stopfer M. Forward and back: motifs of inhibition in olfactory processing. Neuron. 2010 Aug 12;67(3):357-8.
    15. Ito I, Bazhenov M, Ong RC, Raman B, Stopfer M. Frequency transitions in odor-evoked neural oscillations. Neuron. 2009 Dec 10;64(5):692-706.
    16. G.Turner, M.Bazhenov and G.Laurent. Olfactory representations by drosophila mushroom body neurons. J Neurophys, 2008 Feb;99(2):734-46.
    17. L.Finelli, S.Haney, M.Bazhenov, M.Stopfer, T.J.Sejnowski. Activity-dependent synaptic plasticity selects synchronous ensembles for a sparse code in the mushroom body. PLoS Comp Biology, 2008.
    18. C.Assisi, M.Stopfer, G.Laurent, M.Bazhenov. Adaptive regulation of sparseness by feedforward inhibition. Nature Neurosci, 2007, Sep;10(9):1176-84
    19. M.Bazhenov and M.Stopfer. Theoretical and Computational Neuroscience: Olfactory Coding. New Encyclopedia of Neuroscience (eds: Larry Squire, Tom Albright, Floyd Bloom, Fred Gage and Nick Spitzer) Elsevier, 2008.
    20. M.Bazhenov, M.Stopfer, T.J.Sejnowski and G.Laurent. Fast odor learning improves reliability of odor responses in the locust antennal lobe. Neuron, 2005 May;46(3): 483-492.
    21. J.Perez-Orive, M.Bazhenov and G.Laurent. Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input. J.Neurosci., 2004 Jun 30;24(26):6037-47.
    22. M.Bazhenov, M.Stopfer, M.Rabinovich, R.Huerta, H.D.I.Abarbanel, T.J.Sejnowski and G.Laurent. Model of transient oscillatory synchronization in the locust antennal lobe. Neuron 30 (2001) 553-567.
    23. M.Bazhenov, M.Stopfer, M.Rabinovich, H.D.I.Abarbanel, T.J.Sejnowski and G.Laurent. Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe. Neuron 30 (2001) 569-581.

Epileptogenesis

    1. González OC, Krishnan GP, Timofeev I, Bazhenov M. Ionic and Synaptic Mechanisms of Seizure Generation and Epileptogenesis. Neurobiology of Disease. 2019. doi: 10.1016/j.nbd.2019.104485
    2. TL Myers, O Gonzalez, JB Stein, M Bazhenov. Characterizing Concentration-Dependent Neural Dynamics of 4- Aminopyridine-Induced Epileptiform Activity. Epilepsy Journal. 2018;4(2). pii: 128. doi: 10.4172/2472-0895.1000128
    3. OC Gonzalez, Z Shiri, GP Krishnan, TL Myers, S Williams, M Avoli, M. Bazhenov. 2018. Role of KCC2-Dependent Potassium Efflux in 4-Aminopyridine-Induced Epileptiform Synchronization. Neurobiology of Disease. Jan;109(Pt A):137-147. doi: 10.1016/j.nbd.2017.10.011
    4. V Volman, M Bazhenov. Reactive astrocytes-comprehending when neurons play 4’33. bioRxiv, 189134, 2017, doi: https://doi.org/10.1101/189134
    5. González OC, Krishnan GP, Chauvette S, Timofeev I, Sejnowski T, Bazhenov M. Modeling of Age-Dependent Epileptogenesis by Differential Homeostatic Synaptic Scaling. J Neurosci. 2015 Sep 30;35(39):13448-62.
    6. Krishnan GP, Filatov G, Shilnikov A, Bazhenov M. Electrogenic properties of the Na+/K+ ATPase controls transitions between normal and pathological brain states. J Neurophysiol. 2015 Jan 14:jn.00460.2014.
    7. Timofeev I, Sejnowski TJ, Bazhenov M, Chauvette S, Grand LB. Age dependency of trauma-induced neocortical epileptogenesis. Front Cell Neurosci. 2013 Sep 18;7:154
    8. Krishnan GP, Filatov G, Bazhenov M. Dynamics of high frequency synchronization during seizures, Journal of Neurophysiology, 2013, May;109(10):2423-37.
    9. Volman V, Bazhenov M, Sejnowski TJ. Divide and conquer: Functional segregation of synaptic inputs by astrocytic microdomains could alleviate paroxysmal activity following brain trauma, PLoS Computational Biology, 2013 Jan;9(1):e1002856.
    10. Timofeev, I., Bazhenov, M., Seigneur, J., Sejnowski, T.J. Neuronal synchronization and thalamocortical rhythms in sleep, wake and epilepsy. Jasper’s Basic Mechanisms of the Epilepsies. Editors: Noebels JL, Avoli M, Rogawski MA, Olsen RW, Delgado-Escueta AV. 2012. Oxford University Press. New York.
    11. Volman V, Bazhenov M, Sejnowski TJ. Computational models of neuron-astrocyte interaction in epilepsy, Frontiers in Computational Neuroscience, 2012, 6:58. doi: 10.3389/fncom.2012.00058
    12. Krishnan GP, Bazhenov M. Ionic dynamics mediate spontaneous termination of seizures and post-ictal depression state.Journal of Neuroscience, 2011, Jun 15;31(24):8870-82
    13. Volman V, Perc M, Bazhenov M. Gap junctions and epileptic seizures – two sides of the same coin? PloS One, 2011;6(5):e20572.
    14. Volman V, Bazhenov M, Sejnowski TJ. Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc Natl Acad Sci U S A. 2011 Sep 13;108(37):15402-7
    15. Volman V, Sejnowski TJ, Bazhenov M. Topological basis of epileptogenesis in a model of severe cortical trauma. Journal of Neurophysiology, 2011 Oct;106(4):1933-42
    16. Filatov G, Krishnan GP, Rulkov NF, Bazhenov M. Dynamics of epileptiform activity in mouse hippocampal slices. J Biol Physics 2011 Jun;37(3):347-60.
    17. Frohlich F, Sejnowski TJ, Bazhenov M. Network bistability mediates spontaneous transitions between normal and pathological brain states. J Neurosci. 2010 Aug 11;30(32):10734-43.
    18. Timofeev I, Bazhenov M, Avramescu S, Nita DA. Posttraumatic epilepsy: the roles of synaptic plasticity. Neuroscientist. 2010 Feb;16(1):19-27.
    19. F.Frohlich, M.Bazhenov, V.Iragui-Madoz and T.J.Sejnowski. Potassium dynamics in the epileptic cortex: new insights on an old topic. Neuroscientist. 2008 Oct;14(5):422-33.
    20. M.Bazhenov, I.Timofeev, F.Frohlich and T.J.Sejnowski. Cellular and network mechanisms of electrographic seizures.Drug Discovery Today: Disease Models, 2008, 5(1):45-57.
    21. S.Boucetta, S.Chauvette, M.Bazhenov and I.Timofeev. Focal generation of paroxyzmal fast runs during electrographic seizures. Epilepsia, 2008, 1-16.
    22. F.Frohlich, T.J.Sejnowski., M.Bazhenov. Extracellular potassium mediates transitions between physiological and pathological cortical network dynamics. PNAS, 2008, submitted.
    23. F.Frohlich, M.Bazhenov, T.J.Sejnowski. Pathological effect of homeostatic synaptic scaling on network dynamics in diseases of the cortex. J Neurosci, 2008 Feb 13;28(7):1709-20.
    24. F.Frohlich, I.Timofeev, T.J.Sejnowski and M.Bazhenov. Extracellular potassium dynamics and epileptogenesis. In: Computational Neuroscience in Epilepsy, Editors: Ivan Soltesz and Kevin Staley, Elsevier 2008.
    25. M.Bazhenov, A.Houweling, I.Timofeev and T.J.Sejnowski. Homeostatic plasticity and post-traumatic epileptogenesis. In: Computational Neuroscience in Epilepsy, Editors: Ivan Soltesz and Kevin Staley, Elsevier 2008.
    26. F.Frohlich, M.Bazhenov, I.Timofeev and T.J.Sejnowski. Maintenance and termination of neocortical oscillations by dynamic modulation of intrinsic and synaptic excitability. Thalamus & Related Systems, 2007, Jun 3(02), 147-156.
    27. F.Frohlich, M.Bazhenov, I.Timofeev, M.Steriade, and T.J.Sejnowski. Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability. J.Neurosci, June 7, 2006, 26(23):6153-6162.
    28. I.Timofeev, M.Bazhenov. Mechanisms of cortical trauma induced epileptogenesis and seizures. Recent Res. Devel. Physiol., 3 (2005) 99-139.
    29. A.Houweling, M.Bazhenov, I.Timofeev, M.Steriade and T.J.Sejnowski. Homeostatic plasticity can explain posttraumatic epileptogenesis. Cerebral Cortex, 2005, 15:834-845.
    30. M.Bazhenov, I.Timofeev, M.Steriade, and T.J.Sejnowski. Potassium model for slow (2-3 Hz) neocortical paroxysmal oscillations in vivo. J.Neurophys., 2004 Aug;92(2):1116-32.
    31. I.Timofeev, M.Bazhenov, T.J.Sejnowski and M.Steriade. Cortical hyperpolarization-activated depolarizing current takes part in the generation of focal paroxysmal activities. Proc Natl Acad Sci U S A. 2002 Jul 9;99(14):9533-7.

Old Papers: Dynamical Systems, Nonequilibrium Media and Pattern Formation

  1. M.Bazhenov, K.Gorshkov, M.Rabinovich, T.Bohr. Stationary and quasistationary solutions of the complex Ginzburg-Landau equation. Izvestiya Rossiiskoi Akademii Nauk. Seriya Fizicheskaya 61 suppl. (1997). Translation: Bulletin of the Russian Academy of Sciences. Physics 61 suppl. (1997) 22-27.
  2. M.Bazhenov, M.Rabinovich and L.Rubchinsky. Time-periodic spatial disorder in a complex Ginzburg-Landay equation.In: Chaotic, Fractal, and Nonlinear Signal Processing. R.A.Katz ed. AIP Press (1996) 533-540.
  3. M.Bazhenov, T.Bohr, K.Gorshkov, M.Rabinovich. The diversity of steady state solutions of the complex Ginzburg-Landau equation. Physical Letters A 217 (1996) 104-110.
  4. M.Bazhenov, M.Rabinovich, L.Rubchinsky. Time-periodic spatial chaos in the complex Ginzburg-Landau equation.Journal of Statistical Physics 83 (1996) 1165-1181.
  5. M.V.Bazhenov, M.I.Rabinovich, L.L.Rubchinskii. Periodic evolution of space chaos in the one-dimensional complex Ginzburg-Landau equation. Izvestiya VUZov Radiophysics 38(1-2) (1995) 37-43. Translation: Radiophysics and Quantum Electronics 38(1-2) (1995) 25-39.
  6. M.Bazhenov, T.Bohr, K.Gorshkov, M.Rabinovich. The stationary and quasi-stationary solutions of complex Ginzburg-Landau equation. In: Nonlinear Waves. Synchronization and Patters, Nizhny Novgorod University Press 2 (1995) 9-14.
  7. M.Bazhenov, M.Rabinovich. Synchronized disorder in a 2D complex Ginzburg-Landau equation. Physica D 73 (1994) 318-334.
  8. M.Bazhenov, M.Rabinovich. The screening of spiral field in a 2D complex Ginzburg-Landau equation. Physical Letters A179 (1993) 191-197.
  9. M.V.Bazhenov, M.I.Rabinovich. The interaction of structures and spatio-temporal chaos in models of coupled waves.International Journal of Bifurcation and Chaos 3 (1992) 153-164.
  10. M.V.Bazhenov, M.I.Rabinovich, A.L.Fabrikant. The “amplitude”-“phase” turbulent transition in a Ginzburg-Landau model as a critical phenomenon. Physical Letters A 163 (1992) 87-94.
  11. M.V.Bazhenov, E.F.Sabaev. Limited power bursts in distributed models of nuclear reactors. Atomnya Energia 74(6) (1993) 466-472. Translation: Atomic Energy 74 (1993) 433-439.
  12. M.V.Bazhenov, S.V.Kiyashko, M.I.Rabinovich. Chaotic dynamics of a simple electron circuit. Izv. VUZov. Prikladnaya nelineinaya dinamika 2(2) (1994) 81-100.
  13. M.V.Bazhenov, E.F.Sabaev.Global boundedness of solutions to some equations of mathematical physics. Izv. VUZov. Prikladnaya nelineinaya dinamika 2(1) (1994) 52-58.
  14. M.V.Bazhenov, S.V.Kiyashko, M.I.Rabinovich. Bifurcations and the generation of chaos in a simple electric circuit.Phystech Journal 1 (1994) 3-23.
  15. M.V.Bazhenov, E.F.Sabaev. Application of differential inequalities to the proof of global boundedness of solutions to a particular class of equations of mathematical physics. Preprint N338, Institute of Applied Physics RAS, Nizhny Novgorod, 1993.
  16. M.V.Bazhenov, E.F.Sabaev. The application of differential inequalities to the investigation of the conditions for global boundedness of the solutions to the equations of reactor dynamics. Prikladnuye problemu teorii kolebany (1993) 124-135.
  17. M.V.Bazhenov. The existence of explosive solutions of the equation of reactor dynamics. Prikladnuye problemu teorii kolebany (1991) 95-103.
  18. M.V.Bazhenov, V.D.Goryatchenko. On the investigation of stability and oscillations within a 3-D model of reactor dynamics. Prikladnuye problemu teorii kolebany (1991) 84-94.
  19. M.V.Bazhenov. The qualitative investigation of a model for the dynamics of a reactor with nonlinear regulator.Prikladnuye problemu teorii kolebany (1990) 89-96.
  20. M.V.Bazhenov, V.D.Goryatchenko, A.V.Privalov. The investigation into nonlinear models of reactor dynamics on the phase plane. Prikladnuye problemu teorii kolebany (1990) 79-88.
  21. M.V.Bazhenov. Investigation of a model for the dynamics of a reactor with nonlinear delayed feedback. Voprosu atomnoy nayki i techniki 5 (1990) 29-35.
  22. M.V.Bazhenov, V.D.Goryatchenko. The investigation of stability of a coupled system with delay. Prikladnuye problemu teorii kolebany (1989) 46-53.
  23. M.V.Bazhenov. Numerical and analytical investigation of a 2-D diffusion dynamical model for a reactor with power-type delayed feedback. Voprosu atomnoy nayki i techniki 3 (1989) 16-23