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1、International Journal of Bifurcation and Chaos, Vol. 17, No. 10 (2007) 35233528 cWorld Scientific Publishing CompanyFORCED SYNCHRONIZATION IN MORRISLECAR NEURONSHIROYUKI KITAJIMADepartment of Reliability-Based Information Systems Engineering, Kagawa University, 2217-20 Takamatsu, Kagawa 761-0396, Ja

2、pan kitajieng.kagawa-u.ac.jpJU¨ RGEN KURTHSInstitute of Physics, The University of Potsdam, Am Neuen Palais 10, D-14469 Potsdam, Germany juergenagnld.uni-potsdam.deReceived October 6, 2005; Revised March 29, 2006We investigate forced synchronization between electrically coupled MorrisLecar neur

3、ons with class I and class II excitability through numerical bifurcation analysis. We nd that class II neu- rons have wider parameter regions of forced synchronization. However, the bifurcation structure and patterns of spikes for class II are complicated; there exist period-doubling bifurcations, i

4、nter- esting two-periodic oscillations and irregular bursting spikes with high values of the coecient of variation of the interspike interval.Keywords: Class I and Class II neurons; synchronization; coupled neurons; bifurcation.of using ML neurons are as follow:1. IntroductionA neuron, or the elemen

5、tary processing units in the central nervous system, generates various temporal patterns of spikes. Among such ring patterns, syn- chronous ring of neurons in connection with neural signal processing has attracted much interest (see Fujii et al., 1996 and references therein). Many studies conrm that

6、 oscillatory dynamics of neu- ral activity and its synchronization play an impor- tant role in the m s of information processing in the brain Pikovsky et al., 2001. The oscillation mechanisms of neuron m s are classied into two by their bifurcations: class I (saddle-node bifurca- tion) and class II

7、(Hopf bifurcation). The oscilla- tion of the former and the latter has almost zero frequency and a nite frequency at the bifurcation point, respectively.We study forced synchronization in electrically cyclic-coupled MorrisLecar (ML) neurons with both class I and class II excitability. The reasons Re

8、cently, Tsumoto et al. showed thattheseexcitabilities are switched by only one parametervalue in the ML mTsumoto et al., 2006. Patel proposed the analogue VLSI ML neuronm and showed the advantage of using the ML neuron m for considering large-scale systems of coupled neural oscillators Patel & D

9、eWeerth, 1997.The aim of this paper is to compare forced syn- chronization of a class I neuron with that of a class II neuron. For mutual synchronization of two neurons, it is claried by using the phase reset- ting curve (PRC) that class II neurons are easy to achieve synchronization Ermentrout, 199

10、6; Rinzel & Ermentrout, 1998; Ermentrout et al., 2001. Also for large number of neurons with random connec- tions, class II neurons present a good level of syn- chronization regardless of the connection topology35233524 H. Kitajima & J. Kurths Lago-Fern´andez et al., 2001. However, Tsuj

11、i et al. showed that class I neurons have wider parameter regions of synchronous ring than those of class IItanh (V )V cN= 05 1 + .,Vd1.0neurons by theed bifurcation analysis TsujiN = , cosh (V V )et al., 2004. For forced synchronization, the study c 2Vdof comparison between class I and class II neu

12、rons is not reported as far as we know.In this paper we study the dependence of class I and class II neurons on forced synchronization using bifurcation theory. In a system of N coupled neu- rons as a ring by negative conductances (unforced system) spikes are synchronized at -phase for nearest neuro

13、ns and N -phase, for even N and odd N , respectively; similar results as in the coupled two neurons case Varona et al., 2001. When com- mon external forces are injected to such synchro- nized neurons, we nd that in-phase spikes appear through a pitchfork bifurcation as the amplitude of the external

14、forces is increased. Moreover, we obtain that class II neurons have wider parameter regions of forced synchronization. However, the bifurcation structure and patterns of spikes for class II are com- plicated; there exist period-doubling bifurcations, interesting two-periodic oscillations and irregul

15、ar bursting spikes with high values of the coecient of variation of the interspike interval.where V and V are the midpoint potential at whichacthe calcium current and the potassium current is halfactivated, Vb is a constant corresponding to the steepness of voltage dependence of activation, Vd denot

16、es the slope factor of potassium activation and is the temperature-like time scale factor.In this paper we consider a system of electri- cally cyclic-coupled (diusively coupled) three ML neurons with common external forces. The system equation is described bydViCM= gl(Vi Vl) gcaMi (Vi Vca)dt gkNi(Vi

17、 Vk)+ Iext g(2Vi Vi1 Vi+1)(2)dNiNi Ni=dtNi(i = 1, 2, 3, V0 V3, V4 V1),where g is the coupling conductance xed as 0.1 or2.System EquationThe ML neuron m Ermentrout, 1996; Rinzel & Ermentrout, 1998; Tsumoto et al., 2006, pro- posed as a m for describing a variety of oscilla- tory voltage patterns

18、of Barnacle muscle bers, is described by0.1.The class I and II excitability can be controlledby the value of parameter Vc; the critical point isabout Vc = 4.6 Tsumoto et al., 2006. In this study we use Vc = 12 and 2 for class I and class II, respec- tively. The values of other parameters in Eq. (1)

19、are xed as follows:dVdt= g (V V ) g M (V V )CMllcaca µFmS cm2 mS cm2 CM = 20gk = 8 gl = 2 , gkN (V Vk)+ Iext(1)cm2 mS 1dNdtN N=g= 4 , =s1,V= 120 mV,cacacm215Nwhere V isthe membrane potential, N 0, 1 isVk = 80 mV, Vl = 60 mV,Va = 1.2 mV,the activation variable for K+,is the externalIextVb = 18 m

20、V,Vd = 17.4 mV.current and t denotes the time measured in millisec-onds. The system parameters Vca, Vk and Vl repre- sent equilibrium potentials of Ca2+, K+ and leakage currents, respectively, and gca, gk and gl denote the um conductance of corresponding ionic cur-3.ResultsIn this study we consider

21、I: I sin(t) + I asextmexternal current in Eq. (2). The direct current I is xed as 50 and 55 for class I and class II neurons, respectively, to have a similar oscillation frequency. Time scale is changed to t for xing the period of the external force as 2. Bifurcation sets in therents. The V -depende

22、nt functions, M, N and Nare given by tanh (V ) V aM= 05 1 + .,VbForced Synchronization in MorrisLecar Neurons 3525the positive and the negative coupling conductance, respectively, for both classes.In Figs. 1(a) and 1(b) the natural frequency is 0.083 and 0.080 for the class I and II neu- ron, thus t

23、he regions of the fundamental har- monic oscillation touch the line of Im = 0 at these values. The Arnold tongues touch the axis Im = 0 which is similar to synchronization of phase-coherent chaotic oscillators Pikovsky et al., 1997, but here we have quite dierent bifurcationstwo-parameter plane (, I

24、m) are calculated using Kawakamis method Kawakami, 1984.We show bifurcation diagrams in Figs. 1 and 2 for systems of both class I and II neurons coupled by the positive and the negative coupling conductance. In these gures horizontal and vertical axes indicate the angular frequency () and the amplit

25、ude (Im) of the external alternative current, respectively. We note that when Iext = I, an in-phase oscillation anda three-phase oscillation is stable in the system ofmA/cm 2 10mA/cm 2 108.08.06.06.04.04.02.02.00.00.00.00.050.10.150.20.00.050.10.150.2w(a) Class Iw(b) Class IIrad/msecrad/msecFig. 1.

26、Bifurcation diagram in Eq. (1) for g = 0.1. Solid and dashed curves indicate the saddle-node and the period-doubling bifurcation, respectively. We observe stable in-phase synchronized states in the shaded regions; in each figure from right to left higher harmonic oscillation of order two, fundamenta

27、l harmonic oscillation and subharmonic oscillation of order two.mA/cm 2 10mA/cm 2 108.08.06.06.04.04.02.02.00.00.00.00.050.10.150.20.00.050.10.150.2w(a) Class Iw(b) Class IIrad/msecrad/msecFig. 2. Bifurcation diagram for g = 0.1. Types of curves are the same as in Fig. 1 except for the thin dashed c

28、urves for thepitchfork bifurcation. Red and blue curves indicate bifurcations of three-phase and a pair of in-phase oscillations, respectively.ImImImIm3526 H. Kitajima & J. Kurthsexistence of the period-doubling bifurcation only in coupled class II neurons. We observe an interesting two-periodic

29、 oscillation due to the period-doubling bifurcation, see Fig. 4. In this gure neuron 1 pro- duces a two-periodic oscillation (the period is 4) while neuron 2 generates a one-periodic oscilla- tion (the period is 2). Common external currents (the amplitude is 10 µ A/cm2) are injected into these

30、neurons, however the oscillation period of neu- ron 1 (also neuron 3) is double that of neuron 2. In coupled class I neurons, we never observe such interesting oscillations, because there are no period- doubling bifurcations.To compare complexity of spikes in the regions of no locking, we calculate

31、the coecient of varia- tion (Cv) of the interspike interval (ISI). When the membrane potential crosses zero from negative to positive, we assume that the neuron generates a spike. Here, Cv is a measure of spike train irreg- ularity dened as the standard deviation divided by the mean interspike inter

32、val. For a very regular spike train, the ISI histogram will have a very nar-(transitions to synchronization). In this gure, we only show the regions of stable in-phase synchro- nized states, because other types of synchronized states are all unstable regardless of increasing Im.On the other hand, we

33、 observe several synchro- nized states for the negative coupling conductance: three-phase, a pair of in-phase and in-phase in theregions When,andin Fig. 2, respectively.= I, only a three-phase synchronizedIextstate is stable, however, unstable in-phase and a pair of in-phase oscillations also exist.

34、 Thus, only the three-phase synchronized states form Arnold tongues (red curves in Fig. 2) in the parameterplane (, I ). These unstable states at I= 0mmpass through the pitchfork bifurcations (symmetry- recovering bifurcation in this case) by increasing the value of Im and become stable in shaded an

35、d hatched regions; the same as coupled BVP (Bonh¨oervan der Pol) oscillators case Kitajima et al., 1999.One-parameter bifurcation diagrams changingthe value of parameter on Im = 8.0 in Figs. 1(a) and 1(b) are shown in Figs. 3(a) and 3(b), respec- tively. From these gures we can see that the cla

36、ss II neurons are easy to achieve forced synchronization for small values of .The biggest dierence of forced synchroniza-row peak and Cv 0. In the case of a random spiketrain, the mean interspike interval is exponentiallydistributed and Cv 1 Softky & Koch, 1993. Cvis also used as an indicator of

37、 synchronous ring in coupled neurons Kitajima & Kurths, 2005.Figure 5 shows waveforms for some values ofCv. For class I neurons Cv is small and almosttion betweenclassI andclassIIneuronsisthe(a) Class I(b) Class IIFig. 3. mapOne-parameter bifurcation diagram on the line at Im = 8.0 in Figs. 1(a)

38、 and 1(b). The points are from the Poincar´e at each time t = 2j (j = 1, 2,. , 1000) for the membrane potential of neuron 1.Forced Synchronization in MorrisLecar Neurons 3527mV60mV60303000-30-30msecmsec-60-60015(a) Neuron 130015(b) Neuron 230Fig. 4. Waveform of interesting oscillation observed

39、in coupled class II neurons. Thed points are from the Poincar´emap. g = 0.1, = 0.016 and Im = 10.0.mV60mV60303000-30-30msecmsec-60-600153001530(a) Class I. g = 0.1, = 0.011 and Im = 5.0.(b) Class I. g = 0.1, = 0.014 and Im = 9.98.mV60300-30msec-6001530(c) Class II. g = 0.1, = 0.014 and Im = 9.9

40、6.Fig. 5.Waveform of (a) Cv = 0.16, (b) Cv = 0.49 and (c) Cv = 0.70. Thed points are from the Poincar´e map.patterns of spikes of class II are complicated; there exist period-doubling bifurcations, interesting two- periodic oscillations and bursting spikes with high values of the coecient of va

41、riation of the interspike interval. It is an open problem to study universality of these phenomena.regular spikes are generated Figs. 5(a) and 5(b). On the other hand, Cv is high for some parameter values for class II neurons and irregular burst spikes are produced.4.We have investigated forced sync

42、hronization of class I and class II neurons. As similar to the results of mutual synchronization, class II neurons have wider parameter regions of forced synchronization. How- ever, we found that the bifurcation structure andReferencesErmentrout, B. 1996 “Type I membranes, phase reset- ting curves,

43、and synchrony,” Neural Comput. 8, 979 1001.3528 H. Kitajima & J. Kurthseyelet intermittency at the transition to phase syn- chronization,” Phys. Rev. Lett. 79, 4750.Pikovsky, A., Rosenblum, M. & Kurths, J. 2001 Synchronization: A Universal Concept in Nonlinear Sciences (Cambridge University

44、Press).Rinzel, J. & Ermentrout, B. 1998 “Analysis of neural excitability and oscillations,” in Methods in Neuronal M ing, eds. Koch, C. & Segev, I. (The MIT Press).Softky, W. R. & Koch, C. 1993 “The high irregular ring of cortical cells is inconsistent with temporal integration of random EPSPs,” J. Neurosci. 13, 334 350.Tsuji, S., Ueta, T., Kawakami, H. & Aihara, K. 2004 “Bifurcation in modied B eurons coupled by gap-junctions,” Proc. NCSP04 (Hawaii, USA), pp. 495498.Tsumoto, K., Kitajima, H., Yoshinaga, T., Aihara, K. &

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