Abstract
In this chapter, we study the onset of synchronization in networks of bursting neurons coupled via both excitatory and inhibitory connections. We review our recent results and show that the addition of pairwise repulsive inhibition to excitatory networks of bursting neurons induces synchrony, in contrast to one’s expectations. Through stability analysis, we reveal the mechanism underlying this purely synergistic phenomenon and demonstrate that it originates from the transition between different types of bursting, caused by excitatory–inhibitory synaptic coupling. This effect is generic and observed in different models of bursting neurons and fast synaptic interactions. We also report a universal scaling law for the synchronization stability condition for large networks in terms of the number of excitatory and inhibitory inputs each neuron receives, regardless of the network size and topology. Our study has potential implications for understanding the emergence of abnormal synchrony in epileptic brain networks. It suggests that promoting presumably desynchronizing inhibition in an attempt to prevent seizures can have a counterproductive effect and induce abnormal synchronous firing.
Dedicated to Mikhail I. Rabinovich on the occasion of his 75th birthday
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References
Rinzel, J.: Lecture Notes in Biomathematics, vol. 71, pp. 251–291. Springer, Berlin (1987)
Terman, D.: SIAM J. Appl. Math. 51, 1418 (1991)
Wang, X.-J.: Physica (Amsterdam) 62D, 263 (1993)
Bertram, R., Butte, M.J., Kiemel, T., Sherman, A.: Bull. Math. Biol. 57, 413 (1995)
Belykh, V.N., Belykh, I., Colding-Joergensen, M., Mosekilde, E.: Europ. Phys. J. E 3, 205 (2000)
Izhikevich, E.M.: Int. J. Bifurcation Chaos 10, 1171 (2000)
Golubitsky, M., Josic, K., Kaper, T.J.: An unfolding theory approach to bursting in fast-slow systems In: Broer, H.W., Krauskopf, B., Vegter, G. (eds.) Global Analysis of Dynamical Systems: Festschrift dedicated to Floris Takens on the occasion of his 60th birthday, pp. 277–308. Institute of Physics Publications (2001)
Guckenheimer, J., Oliva, R.A.: SIAM J. Appl. Dyn. Syst. 1, 105 (2002)
Shilnikov, A., Cymbalyuk, G.: Phys. Rev. Lett. 94, 048101 (2005)
Belykh, V.N., Belykh, I., Mosekilde, E.: Int. J. Bifurcation Chaos 15, 3567 (2005)
Rabinovich, M.I., Varona, P., Selverston, A.I., Abarbanel, H.D.I.: Rev. Modern Phys. 78, 1213 (2006)
Frohlich, F., Bazhenov, M.: Phys. Rev. E 74, 031922 (2006)
Shilnikov, A.L., Kolomiets, M.L.: Int. J. Bifurcation Chaos 18 (8), 2141 (2008)
Abarbanel, H.D.I., Selverston, A.I., Huerta, R., Bazhenov, M.V., Sushchik, M.M., Rubchinskii, L.L., Rabinovich, M.I.: Usp. Fiziol. Nauk 166, 363 (1996)
Izhikevich, E.M.: SIAM Rev. 43, 315 (2001)
Dhamala, M., Jirsa, V.K., Ding, M.: Phys. Rev. Lett. 92, 028101 (2004)
Belykh, I., de Lange, E., Hasler, M.: Phys. Rev. Lett. 94, 188101 (2005)
Netoff, T.I., Schiff, S.J.: J. Neurosci. 22 (16), 7297 (2002); Schindler, K., Elger, C.E., Lehnertz, K.: Clin. Neurophysiol. 118, 1955 (2007)
Lehnertz, K., Ansmanna, G., Bialonski, S., Dickten, H., Geier, C., Porz, S.: Physica (Amsterdam) 267D, 7 (2014)
Wang, X.-J., Rinzel, J.: Neural Comput. 4, 84 (1992)
van Vreeswijk, C., Abbott, L.F., Bard Ermentrout, G.: J. Comput. Neurosci. 1, 313 (1994)
Kopell, N., Ermentrout, G.B.: In: Fiedler, B. (ed.) Handbook of Dynamical Systems, vol. 2, pp. 3–54. Elsevier, Amsterdam (2002)
Golomb, D., Rinzel, J.: Phys. Rev. E 48, 4810 (1993)
Terman, D., Kopell, N., Bose, A.: Physica (Amsterdam) 117D, 241 (1998)
Ernst, U., Pawelzik, K., Geisel, T.: Phys. Rev. Lett. 74, 1570 (1995)
Sadeghi, S., Valizadeh, A.: J. Comput. Neurosci. 36, 55 (2014)
Matias, F.S., Carelli, P.V., Mirasso, C.R., Copelli, M.: Phys. Rev. E 84, 021922 (2011)
Elson, R.C., Selverston, A.I., Abarbanel, H.D.I., Rabinovich, M.I.: J. Neurophysiology 88, 1166 (2002)
Somers, D., Kopell, N.: Biol. Cybern. 68, 393 (1993)
Sherman, A.: Bull. Math. Biol. 56, 811 (1994)
Bazhenov, M., Huerta, R., Rabinovich, M.I., Sejnowski, T.: Physica (Amsterdam) 116D, 392 (1998)
Canavier, C.C., Baxter, D.A., Clark, J.W., Byrne, J.H.: Biol. Cybern. 80, 87 (1999)
Rubin, J., Terman, D.: Neural Comput. 12, 597 (2000)
Rubin, J., Terman, D.: SIAM J. Appl. Dyn. Sys. 1, 146 (2002)
Kopell, N., Ermentrout, G.B.: Proc. Natl. Acad. Sci. USA 101, 15482 (2004)
Belykh, I., Shilnikov, A.: Phys. Rev. Lett. 101, 078102 (2008)
Shilnikov, A., Gordon, R., Belykh, I.: Chaos 18, 037120 (2008)
Jalil, S., Belykh, I., Shilnikov, A.: Phys. Rev. E 81, 045201(R) (2010)
Jalil, S., Belykh, I., Shilnikov, A.: Phys. Rev. E 85, 036214 (2012)
Wojcik, J., Clewley, R., Shilnikov, A.: Phys. Rev. E 83, 056209-6 (2011)
Rabinovich, M.I., Torres, J.J., Huerta, R., Abarbanel, H.D.I.: Phys. Rev. E 60, R1130 (1999)
Nowotny, T., Huerta, R., Rabinovich, M.I.: Chaos 18, 037119 (2008)
Nowotny, T., Rabinovich, M.I.: Phys. Rev. Lett. 98, 128106 (2007)
Belykh, I., Hasler, M.: Chaos 21, 016106 (2011)
Vicente, R., Gollo, L.L., Mirasso, C.R., Fischer, I., Pipa, G.: Proc. Natl. Acad. Sci. USA 105, 17157 (2008)
Gollo, L.L., Mirasso, C., Sporns, O., Breakspear, M.: PLoS Comput. Biol. 10 (4), e1003548 (2014)
Belykh, I., Reimbayev, R., Zhao, K.: Phys. Rev. E 91, 062919 (2015)
Reimbayev, R., Belykh, I.: Int. J. Bifurcation Chaos 24, 1440013 (2014)
Tsaneva-Atanasova, K., Osinga, H., Riel, T., Sherman, A.: J. Theor. Biol. 264, 1133 (2010)
Stern, J., Osinga, H., LeBeau, A., Sherman, A.: Bull. Math. Biol. 70, 68 (2008)
Krishnan, G.P., Bazhenov, M.: J. Neurosci. 24, 8870 (2011)
Pecora, L.M., Carroll, T.L.: Phys. Rev. Lett. 80, 2109 (1998); Pecora, L.M.: Phys. Rev. E 58, 347 (1998)
Leyva, I., Sendina-Nadal, I., Almendral, J.A., Sanjuań, M.A.F.: Phys. Rev. E 74, 056112 (2006)
Nishikawa, T., Motter, A.E.: Proc. Natl. Acad. Sci. USA 107, 10342 (2010)
Hindmarsh, J.L., Rose, M.: Proc. R. Soc. Lond. Ser. B 221, 87 (1984)
Ren, M., Yoshimura, Y., Takada, N., Horibe, S., Komatsu, Y.: Science 316, 758 (2007)
Connors, B.W., Cruikshank, S.J.: Nat. Neurosci. 10, 808 (2007)
Dale, H.H.: Proc. R. Soc. Med. 28, 319 (1934)
CO NTENT is availabe on its main developer’s webpage (Yu.A. Kuznetsov): http://www.staff.science.uu.nl/~kouzn101/CONTENT
Sorrentino, F.: New J. Phys. 14, 033035 (2012); Irving, D., Sorrentino, F.: Phys. Rev. E 86, 056102 (2012)
Belykh, V.N., Belykh, I.V., Hasler, M.: Physica (Amsterdam) 195D, 159 (2004)
Larremore, D.B., Shew, W.L., Ott, E., Sorrentino, F., Restrepo, J.G.: Phys. Rev. Lett. 112, 138103 (2014)
Acknowledgements
This work was supported by the National Science Foundation (USA) under Grant No. DMS1616345 (to I.B. and R.R.), the US Army Research Office Network Science Division under Grant No. W911NF-15-1-0267 (to I.B.) and GSU Brains and Behavior program. R.R. acknowledges support as a GSU Brains and Behavior Fellow.
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Reimbayev, R., Zhao, K., Belykh, I. (2017). When Repulsive Inhibition Promotes Synchrony of Bursting Neurons: Help from the Enemy. In: Aranson, I., Pikovsky, A., Rulkov, N., Tsimring, L. (eds) Advances in Dynamics, Patterns, Cognition. Nonlinear Systems and Complexity, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-53673-6_11
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