PHASE TRANSITION FOR THE MCKEAN-VLASOV EQUATION OF WEAKLY COUPLED HODGKIN-HUXLEY OSCILLATORS

被引:2
|
作者
Vukadinovic, Jesenko [1 ]
机构
[1] CUNY, Coll Staten Isl, Staten Isl, NY 10314 USA
关键词
Hodgkin-Huxley neurons; phase reduced models; mean-field limit; McKean-Vlasov equation; phase transition; bifurcation; generalized modified Bessel functions; SMOLUCHOWSKI EQUATION; INERTIAL MANIFOLDS; DYNAMICS; POPULATIONS; STATES; MODEL;
D O I
10.3934/dcds.2023081
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A phase-reduced model for weakly coupled Hodgkin-Huxley neurons, in particular its thermodynamic limit - the McKean-Vlasov equation - is considered. Synaptic interactions require that the phase interaction function consists of at least two competing Fourier modes representing an attractive and a repulsive contribution. The stationary equation permits a finite-dimensional reduction in terms of generalized modified Bessel functions. For the case of two competing contributions that are in phase, it is shown that the system undergoes a single continuous phase transition as in the case of one-mode interaction; by contrast, two attractive contributions permit multiple continuous and discontinuous phase transitions. When the two contributions are out of phase, the picture that emerges stands in sharp contrast to the discrete model for a large number of globally coupled neurons, for which the existing numerical results show a complex dynamical landscape featuring a variety of cluster states, as well as periodic phase motion. For the thermodynamic limit with an asymmetric two-mode interaction, it will be shown that no coherent steady states are possible for any interaction strength implying a transition from the incoherent state to irregular or chaotic phase motion as the former loses stability.
引用
收藏
页码:4113 / 4138
页数:26
相关论文
共 38 条
  • [1] DYNAMICS OF THE MCKEAN-VLASOV EQUATION
    CHAN, T
    ANNALS OF PROBABILITY, 1994, 22 (01): : 431 - 441
  • [2] The McKean-Vlasov Equation in Finite Volume
    Chayes, L.
    Panferov, V.
    JOURNAL OF STATISTICAL PHYSICS, 2010, 138 (1-3) : 351 - 380
  • [3] Long-Time Behaviour and Phase Transitions for the Mckean-Vlasov Equation on the Torus
    Carrillo, A.
    Gvalani, R. S.
    Pavliotis, G. A.
    Schlichting, A.
    ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS, 2020, 235 (01) : 635 - 690
  • [4] STABILITY ANALYSIS FOR STOCHASTIC MCKEAN-VLASOV EQUATION
    Shi, C.
    Wang, W.
    ANZIAM JOURNAL, 2024,
  • [5] Online parameter estimation for the McKean-Vlasov stochastic differential equation
    Sharrock, Louis
    Kantas, Nikolas
    Parpas, Panos
    Pavliotis, Grigorios A.
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2023, 162 : 481 - 546
  • [6] The small mass limit for a McKean-Vlasov equation with state-dependent friction
    Shi, Chungang
    Wang, Mengmeng
    Lv, Yan
    Wang, Wei
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2024, 411 : 315 - 348
  • [7] Spiking phase control in synaptically coupled Hodgkin-Huxley neurons
    Efimova, Natalia
    Tyukin, Ivan
    Kazantsev, Victor
    CHAOS SOLITONS & FRACTALS, 2024, 185
  • [8] A MCKEAN-VLASOV EQUATION WITH POSITIVE FEEDBACK AND BLOW-UPS
    Hambly, Ben
    Ledger, Sean
    Sojmark, Andreas
    ANNALS OF APPLIED PROBABILITY, 2019, 29 (04): : 2338 - 2373
  • [9] Rate of convergence of a particle method to the solution of the McKean-Vlasov equation
    Antonelli, F
    Kohatsu-Higa, A
    ANNALS OF APPLIED PROBABILITY, 2002, 12 (02): : 423 - 476
  • [10] POISSON EQUATION ON WASSERSTEIN SPACE AND DIFFUSION APPROXIMATIONS FOR MULTISCALE MCKEAN-VLASOV EQUATION
    Li, Yun
    Wu, Fuke
    Xie, Longjie
    SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2024, 56 (02) : 1495 - 1524