Memristor reduces conduction failure of action potentials along axon with Hopf bifurcation

Memristor has been identified to modulate electronic activities of the nervous system, and conduction failure of action potentials along axon has been identified to play important roles in information transition related to pathological pain. In the present paper, the influences of the memristor on the conduction failure induced by the external stimulation with high frequency are investigated. After introducing electromagnetic induction mediated by memristor into Hodgkin-Hexley (HH) model, the Hopf bifurcation advances with increasing depolarization current, and the membrane potential of the resting state near the bifurcation increases. Such two changes mainly lead to the decrease of conduction failure rate of action potentials along axon which is described with a network model composed of HH neurons. Moreover, the reduction of conduction failure rate induced by memristor is well interpreted with the nonlinear dynamics near the bifurcation point, for example, the dynamics of the current threshold to evoke the second action potential from the after-potential following the first one. The results present that memristor can promote the conduction ability of action potentials along axon, which presents a novel function of memristor and contributes to the information transmission related to pathological pain in the nervous system.

[1]  Ya Jia,et al.  Autaptic modulation-induced neuronal electrical activities and wave propagation on network under electromagnetic induction , 2018, The European Physical Journal Special Topics.

[2]  Bharathwaj Muthuswamy,et al.  Implementing Memristor Based Chaotic Circuits , 2010, Int. J. Bifurc. Chaos.

[3]  Ya Jia,et al.  Effects of temperature and electromagnetic induction on action potential of Hodgkin–Huxley model , 2018, The European Physical Journal Special Topics.

[4]  Viet-Thanh Pham,et al.  Taking control of initiated propagating wave in a neuronal network using magnetic radiation , 2018, Appl. Math. Comput..

[5]  Jun Ma,et al.  Signal transmission by autapse with constant or time-periodic coupling intensity in the FitzHugh–Nagumo neuron , 2018, The European Physical Journal Special Topics.

[6]  Wuyin Jin,et al.  Dynamical responses in a new neuron model subjected to electromagnetic induction and phase noise , 2017 .

[7]  Wei Yang Lu,et al.  Nanoscale memristor device as synapse in neuromorphic systems. , 2010, Nano letters.

[8]  Ge Zhang,et al.  Selection of spatial pattern on resonant network of coupled memristor and Josephson junction , 2018, Commun. Nonlinear Sci. Numer. Simul..

[9]  J. Xing,et al.  Reduced conduction failure of the main axon of polymodal nociceptive C-fibres contributes to painful diabetic neuropathy in rats. , 2012, Brain : a journal of neurology.

[10]  Dongsheng Yu,et al.  Hyperchaos in a memristor-Based Modified Canonical Chua's Circuit , 2012, Int. J. Bifurc. Chaos.

[11]  Sajad Jafari,et al.  Chemical and electrical synapse-modulated dynamical properties of coupled neurons under magnetic flow , 2019, Appl. Math. Comput..

[12]  Ya Wang,et al.  The Electrical Activity of Neurons Subject to Electromagnetic Induction and Gaussian White Noise , 2017, Int. J. Bifurc. Chaos.

[13]  W. Stein,et al.  Dynamics of signal propagation and collision in axons. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Yi Tang,et al.  Effect of clustered ion channels along an unmyelinated axon. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  Zhigang Zeng,et al.  Exponential synchronization of memristor-based recurrent neural networks with time delays , 2011, Neurocomputing.

[16]  Yunus Babacan,et al.  A spiking and bursting neuron circuit based on memristor , 2016, Neurocomputing.

[17]  J. Xing,et al.  Conduction Failures in Rabbit Saphenous Nerve Unmyelinated Fibers , 2009, Neurosignals.

[18]  Bard Ermentrout,et al.  Simulating, analyzing, and animating dynamical systems - a guide to XPPAUT for researchers and students , 2002, Software, environments, tools.

[19]  Christos Volos,et al.  A Memristive Hyperchaotic System without Equilibrium , 2014, TheScientificWorldJournal.

[20]  P. Basser,et al.  A model of the stimulation of a nerve fiber by electromagnetic induction , 1990, IEEE Transactions on Biomedical Engineering.

[21]  Donal O'Regan,et al.  Global dissipativity of memristor-based complex-valued neural networks with time-varying delays , 2015, Neural Computing and Applications.

[22]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[23]  Abdul Jalil M. Khalaf,et al.  Wavefront-obstacle interactions and the initiation of reentry in excitable media , 2018, Physica A: Statistical Mechanics and its Applications.

[24]  Matjaz Perc,et al.  Synchronizability of two neurons with switching in the coupling , 2019, Appl. Math. Comput..

[25]  Jun Ma,et al.  Model of electrical activity in a neuron under magnetic flow effect , 2016 .

[26]  Wuyin Jin,et al.  Transmission of blocked electric pulses in a cable neuron model by using an electric field , 2016, Neurocomputing.

[27]  Qingdu Li,et al.  Hyperchaos in a 4D memristive circuit with infinitely many stable equilibria , 2015 .

[28]  D. Stewart,et al.  The missing memristor found , 2008, Nature.

[29]  Ronald L. Walsworth,et al.  Optical magnetic detection of single-neuron action potentials using quantum defects in diamond , 2016, Proceedings of the National Academy of Sciences.

[30]  A. Thomas,et al.  Memristor-based neural networks , 2013 .

[31]  Boshra Hatef,et al.  Does the onset of epileptic seizure start from a bifurcation point? , 2018, The European Physical Journal Special Topics.

[32]  L. Chua Memristor-The missing circuit element , 1971 .

[33]  A. Aldo Faisal,et al.  Stochastic Simulations on the Reliability of Action Potential Propagation in Thin Axons , 2007, PLoS Comput. Biol..

[34]  Jacques Kengne,et al.  Antimonotonicity, chaos and multiple attractors in a novel autonomous memristor-based jerk circuit , 2017 .

[35]  Xiaohua Lv,et al.  A novel intrinsic analgesic mechanism: the enhancement of the conduction failure along polymodal nociceptive C-fibers , 2016, Pain.