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Energy analysis of bursting Hindmarsh-Rose neurons with time-delayed coupling

Author

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  • Moujahid, A.
  • Vadillo, F.

Abstract

Mathematical modeling is an important tool to study the role of delay in neural systems and to evaluate its effects on the signaling activity of coupled neurons. Models for delayed neurons are often used to represent the dynamics of real neurons, but rarely to assess the energy required to maintain these dynamics. In this work, we address these questions from an energy perspective by considering a pair of Hindmarsh-Rose burst neurons coupled by reciprocal time-delayed coupling with electrical and chemical synapses. We examine the average energy consumption required to maintain cooperative behavior and quantify the contribution of synapses to total energy consumption. We show that unlike electrical coupling, where the time delay appears to reduce the instantaneous average relative weight of the synaptic contribution, in chemical coupling this average synaptic contribution appears to be much higher in delayed coupling than in instantaneous coupling, except at certain values of coupling strength where the instantaneous synaptic contribution is more important.

Suggested Citation

  • Moujahid, A. & Vadillo, F., 2022. "Energy analysis of bursting Hindmarsh-Rose neurons with time-delayed coupling," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002818
    DOI: 10.1016/j.chaos.2022.112071
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    References listed on IDEAS

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    1. Reis, Adriane S. & Iarosz, Kelly C. & Ferrari, Fabiano A.S. & Caldas, Iberê L. & Batista, Antonio M. & Viana, Ricardo L., 2021. "Bursting synchronization in neuronal assemblies of scale-free networks," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    2. Moujahid, A. & d’Anjou, A. & Torrealdea, F.J. & Torrealdea, F., 2011. "Efficient synchronization of structurally adaptive coupled Hindmarsh–Rose neurons," Chaos, Solitons & Fractals, Elsevier, vol. 44(11), pages 929-933.
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