Energy consumption in Hodgkin–Huxley type fast spiking ... · address: [email protected] (K....

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Perspectives in Science (2016) 8, 132—134 Available online at www.sciencedirect.com ScienceDirect j our na l homepage: www.elsevier.com/pisc Energy consumption in Hodgkin—Huxley type fast spiking neuron model exposed to an external electric field K. Usha a,, M.K. Sreepriya a , P.A. Subha b a Department of Physics, University of Calicut, Kerala 673 635, India b Department of Physics, Farook College, University of Calicut, Kerala 673 632, India Received 6 February 2016; accepted 12 April 2016 Available online 20 April 2016 KEYWORDS Fast spiking model; Electrical energy supply; Metabolic energy consumption Summary This paper evaluates the change in metabolic energy required to maintain the signalling activity of neurons in the presence of an external electric field. We have analysed the Hodgkin—Huxley type conductance based fast spiking neuron model as electrical circuit by changing the frequency and amplitude of the applied electric field. The study has shown that, the presence of electric field increases the membrane potential, electrical energy supply and metabolic energy consumption. As the amplitude of applied electric field increases by keeping a constant frequency, the membrane potential increases and consequently the electrical energy supply and metabolic energy consumption increases. On increasing the frequency of the applied field, the peak value of membrane potential after depolarization gradually decreases as a result electrical energy supply decreases which results in a lower rate of hydrolysis of ATP molecules. © 2016 Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Introduction The investigation of nonlinear systems have led to many new research interests which include biological systems espe- cially neuron models with plenty of applications. All kinds of neuron models start from the ion channels and action poten- tials. The Hodgkin—Huxley (HH) model is a conductance This article belongs to the special issue on Engineering and Material Sciences. Corresponding author. Tel.: +91 9946333721. E-mail address: [email protected] (K. Usha). based model, which quantitatively describes electrical exci- tations of squid giant axons is a prototype for excitable cell models (Hodgkin and Huxley, 1952). By changing the externally applied DC current, Hopf bifurcation would occur at the equilibrium of HH model, generating limit cycles (Hassard, 1978; Giacomo et al., 2007; Ranchao and Xiang, 2012). The response of a neuron to external electrical stim- ulation depends upon the characteristics of the neuron and the external stimulation (Che et al., 2012). Most of the neuron models have been widely studied by applying an external current stimulus. Moujahid et al. (2011) calculated the energy consumed in information transmission by using the HH model in a recent paper. In this paper, we present the http://dx.doi.org/10.1016/j.pisc.2016.04.015 2213-0209/© 2016 Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

Transcript of Energy consumption in Hodgkin–Huxley type fast spiking ... · address: [email protected] (K....

Page 1: Energy consumption in Hodgkin–Huxley type fast spiking ... · address: ushavyasa@gmail.com (K. Usha). based model, which quantitatively describes electrical exci-tations of squid

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erspectives in Science (2016) 8, 132—134

Available online at www.sciencedirect.com

ScienceDirect

j our na l homepage: www.elsev ier .com/pisc

nergy consumption in Hodgkin—Huxleyype fast spiking neuron model exposed ton external electric field�

. Ushaa,∗, M.K. Sreepriyaa, P.A. Subhab

Department of Physics, University of Calicut, Kerala 673 635, IndiaDepartment of Physics, Farook College, University of Calicut, Kerala 673 632, India

eceived 6 February 2016; accepted 12 April 2016vailable online 20 April 2016

KEYWORDSFast spiking model;Electrical energysupply;Metabolic energyconsumption

Summary This paper evaluates the change in metabolic energy required to maintain thesignalling activity of neurons in the presence of an external electric field. We have analysedthe Hodgkin—Huxley type conductance based fast spiking neuron model as electrical circuit bychanging the frequency and amplitude of the applied electric field. The study has shown that,the presence of electric field increases the membrane potential, electrical energy supply andmetabolic energy consumption. As the amplitude of applied electric field increases by keeping aconstant frequency, the membrane potential increases and consequently the electrical energy

supply and metabolic energy consumption increases. On increasing the frequency of the appliedfield, the peak value of membrane potential after depolarization gradually decreases as a resultelectrical energy supply decreases which results in a lower rate of hydrolysis of ATP molecules.© 2016 Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license

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(http://creativecommons.o

ntroduction

he investigation of nonlinear systems have led to many newesearch interests which include biological systems espe-

ially neuron models with plenty of applications. All kinds ofeuron models start from the ion channels and action poten-ials. The Hodgkin—Huxley (HH) model is a conductance

� This article belongs to the special issue on Engineering andaterial Sciences.∗ Corresponding author. Tel.: +91 9946333721.

E-mail address: [email protected] (K. Usha).

a(2utnett

ttp://dx.doi.org/10.1016/j.pisc.2016.04.015213-0209/© 2016 Published by Elsevier GmbH. This is an open access articenses/by-nc-nd/4.0/).

icenses/by-nc-nd/4.0/).

ased model, which quantitatively describes electrical exci-ations of squid giant axons is a prototype for excitableell models (Hodgkin and Huxley, 1952). By changing thexternally applied DC current, Hopf bifurcation would occurt the equilibrium of HH model, generating limit cyclesHassard, 1978; Giacomo et al., 2007; Ranchao and Xiang,012). The response of a neuron to external electrical stim-lation depends upon the characteristics of the neuron andhe external stimulation (Che et al., 2012). Most of the

euron models have been widely studied by applying anxternal current stimulus. Moujahid et al. (2011) calculatedhe energy consumed in information transmission by usinghe HH model in a recent paper. In this paper, we present the

icle under the CC BY-NC-ND license (http://creativecommons.org/

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uron

ˇ

˛

ˇ

˛

ˇ

Tf

E

Tfi

H

H

+ IK2(V + VE − VK2) + Il(V + VE − Vl)

where CV = −CVE − INa − IK1 − IK2 − Il + I and CVE = IE

Energy consumption in Hodgkin—Huxley type fast spiking ne

change in membrane potential, electrical energy supply andmetabolic energy consumption of fast spiking model whenexposed to an external electric field. ‘‘Fast spiking neuronmodel’’ section describes fast spiking neuron model. Theenergy of the model in the presence of field and the numer-ical results are discussed in ‘‘Energy of fast spiking model’’section and ‘‘Conclusion’’ section concludes the study.

Fast spiking neuron model

The fast-spiking neuron (Erisir et al., 1999) model followsthe Hodgkin—Huxley formalism and consists of a non-specificleak current and three active ionic membrane currents. Theadditional current IK2 with a conductivity gK2 which is muchlarger than gK1 is a strong outward current associated withthe Kv3.1—Kv3.2 channel that shapes the down-stroke ofthe action potential and contributes to a rapid reset of themembrane potential after a spike.

The fast-spiking neuron model in the presence of anexternal electric field is described as,

Cd(V + VE)

dt= −INa − IK1 − IK2 − Il + I

m = ˛m(V)(1 − m) − ˇm(V)m

n1 = ˛n1(V)(1 − n1) − ˇm(V)n1

n2 = ˛n2(V)(1 − n2) − ˇm(V)n2

h = ˛h(V)(1 − h) − ˇh(V)h,

(1)

where V is the membrane potential (mV), C is the mem-brane capacitance (�F), I is the total membrane currentdensity in �A/cm2 and m, n1, n2 and h are dimensionless vari-ables. VE = (A/ω)sin(ωt) is the external electric field, whereA, and ω are the amplitude and frequency respectively.IE = C(dVE/dt) is the current flowing through the capacitordue to the electric field. The external field can be regardedas a perturbation to the system under which the dynamicsof the system gets altered. INa, IK1, IK2 and Il in the presenceof field are given below.

INa = gNam3h(V + VE − VNa)

IK1 = gK1n41(V + VE − VK1)

IK2 = gK2n42(V + VE − VK2)

Il = gl(V + VE − Vl).

(2)

The variables over time of alpha and beta functions are

˛m(V) = 2.5 − 0.1V

[exp(2.1 − 0.1V) − 1]

ˇm(V) = 4 exp

(− V

18

)

˛n1 (V) = 0.1 − 0.01V

[exp(1 − 0.1V) − 1]

Fsw

model 133

n1 (V) = 0.125 exp

(− V

80

)

n2 (V) = 95 − V

[exp((−95 + V)/11.8) − 1]

n2 (V) = 0.025 exp

(V

22.222

)

h(V) = 0.07 exp

(− V

20

)

h(V) = 1[exp(3 − 0.1V) + 1]

he fixed parameter values for fast spiking model are takenrom Erisir et al. (1999).

nergy of fast spiking model

he energy of fast spiking model in the presence of electriceld is given by,

(t) = 12

CV 2 + HVE + HNa + HK1 + HK2 + Hl (3)

˙(t) = CVV + HVE + HNa + HK1 + HK2 + Hl

= CVV + IEVE + INa(V + VE − VNa) + IK1(V + VE − VK1)

igure 1 Action potentials generated at I = 6.9 �A/cm2 of fastpiking model. (a) Without field. (b) Electric field A = 0.2 and

= 0.01. (c) A = 0.3 and w = 0.01. (d) A = 0.3 and w = 0.011.

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Figure 2 Electrical energy supply at I = 6.9 �A/cm2 of fastspiking model. (a) Without field. (b) Electric field with A = 0.2and w = 0.01. (c) A = 0.3 and w = 0.01. (d) A = 0.3 and w = 0.011.

Figure 3 Metabolic energy consumption at I = 6.9 �A/cm2 offAw

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atteoeomratiseae

C

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F

Ft

C

T

R

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H

ast spiking model. (a) Without field. (b) Electric field with = 0.2 and w = 0.01. (c) A = 0.3 and w = 0.01. (d) A = 0.3 and

= 0.011.

Substituting these values we get the energy rate in theircuit as,

˙(t) = −IE(V − VE) + IV − [gNam3h(V + VE − VNa)(VNa − VE)]

− [gK1n41(V + VE − Vk1)(Vk1 − VE)]

− [gk2n42(V + VE − Vk2)(Vk2 − VE)]

− [gl(V + VE − Vl)(Vl − VE)] (4)

e analysed the fast spiking model in Eq. (1) withoutpplying electric field and by changing the frequency andmplitude of the applied field. A sequence of action poten-

ials is generated by solving Eq. (1). Fig. 1(a)—(d) illustrateshe membrane potential variations without field and in theresence of field. The peak value of membrane poten-ial increases in the presence of field. On increasing the

HM

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K. Usha et al.

mplitude of applied field membrane potential shows a fur-her increase, on the other hand increasing the frequency ofhe field results in a decrease in membrane potential. Thelectrical energy supply and metabolic energy consumptionf fast spiking model are obtained by solving Eq. (4). Thelectrical energy supply corresponds to the first two termsf Eq. (4). The total metabolic energy consumption of theodel is the contribution to the energy derivative due the

emaining terms of Eq. (4). The electrical energy supplynd metabolic energy consumption in response to ampli-ude and frequency variations of applied field are shownn Figs. 2(a)—(d) and 3(a)—(d) respectively. The study hashown that on increasing the amplitude of applied field thenergy supply and metabolic energy consumption increasesnd on increasing the frequency of the external field thenergy supply and consumption decreases.

onclusion

his work evaluates the metabolic energy consumption ofhe fast spiking neuron model in order to maintain itsignalling activity in the presence of an externally appliedlectric field. The study has shown that, in the presence ofeld, the peak value of membrane potential after depolar-

zation, the rate of supply of electrical energy and the totaletabolic energy consumption is greater than that in the

bsence of field. As amplitude of external field increases theate of supply of electrical energy and the total metabolicnergy consumption increases wherein they show remark-ble leap as the frequency of the field increases. In all theases the metabolic energy consumption to retain the neu-onal activity is much greater than the energy supplied,hich is replenished by the hydrolysis of ATP molecules.

unding

unding was received from University Grants Commissionhrough Junior Research Fellowship.

onflict of interest

he authors declare that there is no conflict of interest.

eferences

he, Y., Jiang, W., Bin, D., Xile, W., Chunxiao, H., 2012. Neurocom-puting 81, 41—48.

risir, A., Lau, D., Rudy, B., Leonard, C.S., 1999. J. Neurophysiol.82, 2476—2489.

iacomo, I., Alice, M., Roberto, G., Alessandro, T., 2007. CHAOS17, 043128.

assard, B., 1978. J. Theory Biol. 71, 401—420.

odgkin, A.L., Huxley, A.F., 1952. J. Physiol. 117 (4), 500—544.oujahid, A., dAnjou, A., Torrealdea, F.J., 2011. Phys. Rev. E 83,

031912.anchao, W., Xiang, L., 2012. Abstr. Appl. Anal., 341870.