A new approach to optimal control of conductance-based spiking neurons

作者：Lou, Xuyang^*; Swamy, M. N. S.

来源：Neural Networks, 2017, 96: 128-136.

DOI：10.1016/j.neunet.2017.08.011

• Spiking neurons
• Optimal control
• Homotopy perturbation method

This paper presents an algorithm for solving the minimum-energy optimal control problem of conductance-based spiking neurons. The basic procedure is (1) to construct a conductance-based spiking neuron oscillator as an affine nonlinear system, (2) to formulate the optimal control problem of the affine nonlinear system as a boundary value problem based on Pontryagin's maximum principle, and (3) to solve the boundary value problem using the homotopy perturbation method. The construction of the minimum-energy optimal control in the framework of the homotopy perturbation technique is novel and valid for a broad class of nonlinear conductance-based neuron models. The applicability of our method in the FitzHugh-Nagumo and Hindmarsh-Rose models is validated by simulations.

• 出版日期2017-12
• 单位江南大学