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Synchronization Phenomena of Four Neurons on FitzHugh-Nagumo Model

Takato SEI Yoko UWATE Yoshifumi NISHIO (Tokushima University)

1. Introduction

Some neural oscillator models are studied by many re- searchers. FitzHugh-Nagumo (FHN) model is one of these models. Periodic solutions on a pair of FHN models have already found[1]. In addition, the periodic solutions have some firing patterns. We propose a system which a neuron is connected to a triangle system. The system has four neu- rons with inhibitory coupling. We focus on synchronization phenomena of the system. Likewise, we investigate firing patterns.

2. FitzHugh-Nagumo model

In the following, we study the system which is modeled by the excitable FHN models. FHN model is given by the following equations:

du

i

dt = u

i

(u

i

− α)(1 − u

i

) − v

i

+ K N

∑

i̸=j

(u

j

− u

i

) (1)

dv

i

dt = τ(u

i

− γv

i

) (2)

where u

ij

is the activator, v

ij

is the inhibitor, α, τ and γ are parameters, K is the coupling strength and N is the number of elements. α, τ and γ are fixed at α = 0.01, τ = 0.001 and γ = 0.0 because these values are used in previous study of a pair of excitable FHN elements.

N 1

N 3

N 4

N 2

Figure 1: The system of four neurons on FHN model.

3. Simulation results

The simulation model is shown in Fig. 1. We investi- gate synchronization phenomena by changing the coupling strength K from −1 to 0.

As the results of simulation, in case of K = − 0.035, the observed time waveforms are shown in Fig. 2. Time waveforms N

1

and N

3

are synchronized at in-phase with

N

2

and N

4

. Next, we explain two-phase firing pattern in detail. After N

1

and N

3

excite, N

2

and N

4

excite soon. After these successive excitations, all neurons stay quiescent state for a while. On the next successive excitations, N

2

and N

4

excite first. After that, N

1

and N

3

excite soon. These states are repeated.

t t t N

1

N

2

N

1

N

2

(a)

(b)

(c)

Figure 2: Time evolution of four neurons on FHN model for the coupling strength K = − 0.035. The solid lines of (a) and (b) correspond to time waveforms of N

1

(N

3

) and N

2

(N

4

), respectively. The solid lines of (c) correspond to all neuronal time waveforms.

4. Conclusions

In this study, we proposed a system which a neuron is connected to a triangle system. Periodic solution was ob- served on the system. Furthermore, we found a simple fir- ing pattern. These facts shed some light on neural activity in the brain and the spinal cord where periodic behavior is often observed.

5. Reference

[1] T. Yanagita, T. Ichinomiya and Y. Oyama, “Pair of excitable FitzHugh-Nagumo elements: Synchronization, multistability, and chaos”, Phys. Rev. E 72, 056218, 2005.

平成

27

年度電気関係学会四国支部連合大会 講演論文集

(2015

高知工科大学)

2015 SHIKOKU-SECTION JOINT CONVENTION RECORD OF THE INSTITUTES OF ELECTRICAL AND RELATED ENGINEERS (KOCHI)

1-35

35

図

Figure 1: The system of four neurons on FHN model.

参照

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