Effects of multiplicative-noise and coupling on synchronization in thermosensitive neural circuits

Abstract Functional neural circuits had been proposed by taking physical effects into considerations. Both the synapse coupling and the capability of sensing physical signals from the environment are critical elements among others for realizing functional neural circuits. When these two elements are involved in the dynamics of neural circuits, synchronization between circuits due to coupling or noise from the electronic sensory devices can occur. Therefore, in this paper, the effect of coupling and noise on the synchronization between two augmented thermosensitive FitzHugh–Nagumo neural circuits is investigated. It is shown that the fluctuation of temperature perceived by negative temperature coefficient thermistors yields a multiplicative noise exerting on the dynamics of the neural circuits. Contrary to what was expected, numerical results confirmed that the coupling suppresses synchronization while multiplicative noise facilitates synchronization. The mechanism underlying these phenomena is demonstrated by the phase portrait that peculiar to synchronizations and the first-return map to the Poincare section. The intermittency behavior during the route to synchronization under different intensity of noise is also characterized, which would have significant value to the function neural circuit for self-adaption.

[1]  Pablo Balenzuela,et al.  Role of chemical synapses in coupled neurons with noise. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Jun Ma,et al.  A physical view of computational neurodynamics , 2019, Journal of Zhejiang University-SCIENCE A.

[3]  Chunni Wang,et al.  Coupling synchronization between photoelectric neurons by using memristive synapse , 2020 .

[4]  Jürgen Kurths,et al.  Onset of Phase Synchronization in Neurons with Chemical Synapse , 2007, Int. J. Bifurc. Chaos.

[5]  Photosensitive neurons in mollusks. , 2003 .

[6]  Minghua Liu,et al.  Dynamics and coherence resonance in a thermosensitive neuron driven by photocurrent , 2020 .

[7]  Guodong Ren,et al.  Synchronization behavior of coupled neuron circuits composed of memristors , 2017 .

[8]  Faris Alzahrani,et al.  A new photosensitive neuron model and its dynamics , 2020, Frontiers of Information Technology & Electronic Engineering.

[9]  E. Montroll,et al.  On 1/f noise and other distributions with long tails. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Victor B. Kazantsev,et al.  Synaptic Coupling Between Two Electronic Neurons , 2006 .

[11]  Joseph P. Zbilut,et al.  A model of biological neuron with terminal chaos and quantum-like features , 2006 .

[12]  Han Bao,et al.  Coexisting multiple firing patterns in two adjacent neurons coupled by memristive electromagnetic induction , 2018, Nonlinear Dynamics.

[13]  J. M. Sancho,et al.  Analytical and numerical studies of multiplicative noise , 1982 .

[14]  Huaguang Gu,et al.  Spatial coherence resonance and spatial pattern transition induced by the decrease of inhibitory effect in a neuronal network , 2017 .

[15]  Matjaz Perc,et al.  Amplification of information transfer in excitable systems that reside in a steady state near a bifurcation point to complex oscillatory behavior. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Hiroyuki Kitajima,et al.  Bifurcations in Morris-Lecar neuron model , 2006, Neurocomputing.

[17]  Ping Zhou,et al.  Phase synchronization between a light-dependent neuron and a thermosensitive neuron , 2021, Neurocomputing.

[18]  Stefan Slesazeck,et al.  Mimicking biological neurons with a nanoscale ferroelectric transistor. , 2018, Nanoscale.

[19]  Ying-Cheng Lai,et al.  Analytic signals and the transition to chaos in deterministic flows , 1998 .

[20]  Bin Deng,et al.  Effect of chemical synapse on vibrational resonance in coupled neurons. , 2009, Chaos.

[21]  Li Li,et al.  Bifurcations of Time-Delay-Induced Multiple Transitions Between In-Phase and Anti-Phase Synchronizations in Neurons with Excitatory or Inhibitory Synapses , 2019, Int. J. Bifurc. Chaos.

[22]  Jun Ma,et al.  Minireview on signal exchange between nonlinear circuits and neurons via field coupling , 2019, The European Physical Journal Special Topics.

[23]  E. Marder,et al.  Multiple models to capture the variability in biological neurons and networks , 2011, Nature Neuroscience.

[24]  Ahmed Alsaedi,et al.  Complex dynamics of a neuron model with discontinuous magnetic induction and exposed to external radiation , 2018, Cognitive Neurodynamics.

[25]  Pikovsky Comment on "Chaos, noise, and synchronization" , 1994, Physical review letters.

[26]  Ping Zhou,et al.  Regulating synchronous patterns in neurons and networks via field coupling , 2021, Commun. Nonlinear Sci. Numer. Simul..

[27]  Maritan,et al.  Chaos, noise, and synchronization. , 1994, Physical review letters.

[28]  J. Kurths,et al.  Onset of Phase Synchronization in Neurons Conneted via Chemical Synapses , 2007 .

[29]  Jun Ma,et al.  Noise and delay sustained chimera state in small world neuronal network , 2018 .

[30]  J. Boulant Hypothalamic Neurons: Mechanisms of Sensitivity to Temperature a , 1998, Annals of the New York Academy of Sciences.

[31]  B. Leitch Ultrastructure of electrical synapses: review. , 1992, Electron microscopy reviews.

[32]  Guodong Ren,et al.  Dynamics and stochastic resonance in a thermosensitive neuron , 2020, Appl. Math. Comput..

[33]  Jun Tang,et al.  Astrocyte calcium wave induces seizure-like behavior in neuron network , 2017 .

[34]  R. FitzHugh Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.

[35]  M S Baptista,et al.  Combined effect of chemical and electrical synapses in Hindmarsh-Rose neural networks on synchronization and the rate of information. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Guodong Ren,et al.  Control and synchronization in nonlinear circuits by using a thermistor , 2020 .

[37]  Matjaz Perc,et al.  Delay-induced multiple stochastic resonances on scale-free neuronal networks. , 2009, Chaos.

[38]  James P. Keener,et al.  Analog circuitry for the van der Pol and FitzHugh-Nagumo equations , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[39]  Xuerong Shi,et al.  Electric activities of time-delay memristive neuron disturbed by Gaussian white noise , 2020, Cognitive Neurodynamics.

[40]  John T Birmingham,et al.  Incorporating spike-rate adaptation into a rate code in mathematical and biological neurons. , 2016, Journal of neurophysiology.

[41]  A note on synchronization of diffusion , 2000 .

[42]  Arash Ahmadi,et al.  A digital implementation of 2D Hindmarsh–Rose neuron , 2017 .

[43]  Farzan Nadim,et al.  Frequency regulation demonstrated by coupling a model and a biological neuron , 2001, Neurocomputing.

[44]  Enno de Lange,et al.  The Hindmarsh-Rose neuron model: bifurcation analysis and piecewise-linear approximations. , 2008, Chaos.

[45]  Bernabe Linares-Barranco,et al.  A CMOS Implementation of Fitzhugh-Nagumo Neuron Model , 1990, ESSCIRC '90: Sixteenth European Solid-State Circuits Conference.

[46]  Jun Ma,et al.  A review and guidance for pattern selection in spatiotemporal system , 2017 .