Abstract
It was demonstrated that a bistable system driven by periodic force can be consistently regarded as a reliable logic gate when the amplitude and frequency of periodic driving force are both in their appropriate ranges. This phenomenon is called noise-free logical stochastic resonance (LSR). Here, the conventional bistable system is extended to an excitable FitzHugh–Nagumo (FHN) neuron model subjected to single or two periodic forces. We have confirmed that periodic force can induce single or multiple LSRs in the FHN neuron model. Interestingly, the forced FHN neuron can optimize simultaneously the reliability of logic operation and energy dissipation. When periodic force is subthreshold, that is, it cannot evoke spikes, the second periodic force can be added into the system to obtain logical vibrational resonance (LVR). In particular, multiple LVRs can also be obtained by altering the frequency of the second periodic force. The results obtained here may have implications in understanding the constructive roles of periodic force in neuro-inspired systems and would be conducive to the development of future computational devices.
Similar content being viewed by others
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. This manuscript has associated data in a data repository. [Authors’ comment: All necessary data request can send message to the corresponding author via e-mail.].
References
L. Gammaitoni, P. Hanggi, P. Jung, F. Marchesoni, Stochastic resonance. Rev. Mod. Phys. 70(1), 223–287 (1998). https://doi.org/10.1103/RevModPhys.70.223
Y. Yao, J. Ma, Weak periodic signal detection by sine-Wiener-noise-induced resonance in the FitzHugh–Nagumo neuron. Cogn. Neurodyn. 12(3), 343–349 (2018). https://doi.org/10.1007/s11571-018-9475-3
P.S. Landa, P.V.E. McClintock, Vibrational resonance. J. Phys. A Math. Gen. 33(45), L433–L438 (2000). https://doi.org/10.1088/0305-4470/33/45/103
Y. Ren, Y. Pan, F. Duan, F. Chapeau-Blondeau, D. Abbott, Exploiting vibrational resonance in weak-signal detection. Phys. Rev. E 96(2), 022141 (2017). https://doi.org/10.1103/PhysRevE.96.022141
C. Yao, J. Ma, Z. He, Y. Qian, L. Liu, Transmission and detection of biharmonic envelope signal in a feed-forward multilayer neural network. Physica A 523, 797–806 (2019). https://doi.org/10.1016/j.physa.2019.02.053
H. Yu, J. Wang, C. Liu, B. Deng, X. Wei, Vibrational resonance in excitable neuronal systems. Chaos 21(4), 043101 (2011). https://doi.org/10.1063/1.3644390
M. Ge, L. Lu, Y. Xu, R. Mamatimin, Q. Pei, Y. Jia, Vibrational mono-/bi-resonance and wave propagation in FitzHugh-Nagumo neural systems under electromagnetic induction. Chaos Solitons Fractals 133, 109645 (2020). https://doi.org/10.1016/j.chaos.2020.109645
J.P. Baltanas, L. Lopez, I.I. Blechman, P.S. Landa, A. Zaikin, J. Kurths, M.A.F. Sanjuan, Experimental evidence, numerics, and theory of vibrational resonance in bistable systems. Phys. Rev. E 67(6), 066119 (2003). https://doi.org/10.1103/PhysRevE.67.066119
V.N. Chizhevsky, Experimental evidence of vibrational resonance in a multistable system. Phys. Rev. E 89(6), 062914 (2014). https://doi.org/10.1103/PhysRevE.89.062914
D. Yu, L. Lu, G. Wang, L. Yang, Y. Jia, Synchronization mode transition induced by bounded noise in multiple time-delays coupled FitzHugh–Nagumo model. Chaos Solitons Fractals 147, 111000 (2021). https://doi.org/10.1016/j.chaos.2021.111000
Y. Xu, L. Lu, M. Ge, Y. Jia, Effects of temporally correlated noise on coherence resonance chimeras in FitzHugh–Nagumo neurons. Eur. Phys. J. B 92(11), 245 (2019). https://doi.org/10.1140/epjb/e2019-100413-0
Y. Li, L.B. Kish, Heat, speed and error limits of Moore’s law at the nano scales. Fluct. Noise Lett. 6(2), L127–L131 (2006). https://doi.org/10.1142/s0219477506003215
L. Gammaitoni, Noise limited computational speed. Appl. Phys. Lett. 91(22), 224104 (2007). https://doi.org/10.1063/1.2817968
K. Murali, S. Sinha, W.L. Ditto, A.R. Bulsara, Reliable logic circuit elements that exploit nonlinearity in the presence of a noise floor. Phys. Rev. Lett. 102(10), 104101 (2009). https://doi.org/10.1103/PhysRevLett.102.104101
P. Pfeffer, F. Hartmann, S. Hoefling, M. Kamp, L. Worschech, Logical stochastic resonance with a Coulomb-coupled quantum-dot rectifier. Phys. Rev. Appl. 4(1), 014011 (2015). https://doi.org/10.1103/PhysRevApplied.4.014011
F. Hartmann, A. Forchel, I. Neri, L. Gammaitoni, L. Worschech, Nanowatt logic stochastic resonance in branched resonant tunneling diodes. Appl. Phys. Lett. 98(3), 032110 (2011). https://doi.org/10.1063/1.3548539
L. Worschech, F. Hartmann, T.Y. Kim, S. Hoefling, M. Kamp, A. Forchel, J. Ahopelto, I. Neri, A. Dari, L. Gammaitoni, Universal and reconfigurable logic gates in a compact three-terminal resonant tunneling diode. Appl. Phys. Lett. 96(4), 042112 (2010). https://doi.org/10.1063/1.3302457
L. Zhang, W. Zheng, F. Min, A. Song, Realizing reliable logic and memory function with noise-assisted Schmitt trigger circuits. Phys. Lett. A 383(7), 617–621 (2019). https://doi.org/10.1016/j.physleta.2019.01.010
V. Kohar, K. Murali, S. Sinha, Enhanced logical stochastic resonance under periodic forcing. Commun. Nonlinear Sci. Numer. Simul. 19(8), 2866–2873 (2014). https://doi.org/10.1016/j.cnsns.2013.12.008
A. Gupta, A. Sohane, V. Kohar, K. Murali, S. Sinha, Noise-free logical stochastic resonance. Phys. Rev. E 84(5), 055201 (2011). https://doi.org/10.1103/PhysRevE.84.055201
P.R. Venkatesh, A. Venkatesan, Vibrational resonance and implementation of dynamic logic gate in a piecewise-linear Murali–Lakshmanan–Chua circuit. Commun. Nonlinear Sci. Numer. Simul. 39, 271–282 (2016). https://doi.org/10.1016/j.cnsns.2016.03.009
Y. Yao, Time-varying coupling-induced logical stochastic resonance in a periodically driven coupled bistable system. Chin. Phys. B 30(6), 060503 (2021). https://doi.org/10.1088/1674-1056/abd76c
M. Aravind, K. Murali, S. Sinha, Coupling induced logical stochastic resonance. Phys. Lett. A 382(24), 1581–1585 (2018). https://doi.org/10.1016/j.physleta.2018.03.043
M. Das, H. Kantz, Logical response induced by temperature asymmetry. Phys. Rev. E 100(3), 032108 (2019). https://doi.org/10.1103/PhysRevE.100.032108
N. Wang, A. Song, Parameter-induced logical stochastic resonance. Neurocomputing 155, 80–83 (2015). https://doi.org/10.1016/j.neucom.2014.12.045
G. Cheng, S. Zheng, J. Dong, Z. Xu, R. Gui, Effect of time delay in a bistable synthetic gene network. Chaos 31(5), 053105 (2021). https://doi.org/10.1063/5.0046373
R. Gui, J. Li, Y. Yao, G. Cheng, Effect of time-delayed feedback in a bistable system inferred by logic operation. Chaos, Solitons Fractals 148, 111043 (2021). https://doi.org/10.1016/j.chaos.2021.111043
N. Wang, A. Song, B. Yang, The effect of time-delayed feedback on logical stochastic resonance. Eur. Phys. J. B 90(6), 117 (2017). https://doi.org/10.1140/epjb/e2017-80150-4
Y. Yao, J. Ma, Logical chaotic resonance in a bistable system. Int. J. Bifurc. Chaos 30(13), 2050196 (2020). https://doi.org/10.1142/s0218127420501965
Y. Yao, J. Ma, R. Gui, G. Cheng, Enhanced logical chaotic resonance. Chaos 31(2), 023103 (2021). https://doi.org/10.1063/5.0037032
Y. Yao, J. Ma, R. Gui, G. Cheng, Chaos-induced set–reset latch operation. Chaos, Solitons Fractals 152, 111339 (2021). https://doi.org/10.1016/j.chaos.2021.111339
Y. Yao, Logical chaotic resonance in the FitzHugh–Nagumo neuron. Nonlinear Dyn. 107(4), 3887–3901 (2022). https://doi.org/10.1007/s11071-021-07155-y
R. Storni, H. Ando, K. Aihara, K. Murali, S. Sinha, Manipulating potential wells in logical stochastic resonance to obtain XOR logic. Phys. Lett. A 376(8–9), 930–937 (2012). https://doi.org/10.1016/j.physleta.2011.12.036
R. Gui, Y. Yang, Y. Yao, G. Cheng, Noise-free logic and set–reset latch operation in a triple-well potential system. Chin. J. Phys. 68, 178–190 (2020). https://doi.org/10.1016/j.cjph.2020.09.009
H. Zhang, Y. Xu, W. Xu, X. Li, Logical stochastic resonance in triple-well potential systems driven by colored noise. Chaos 22(4), 043130 (2012). https://doi.org/10.1063/1.4768729
A.S. Pikovsky, J. Kurths, Coherence resonance in a noise-driven excitable system. Phys. Rev. Lett. 78(5), 775–778 (1997). https://doi.org/10.1103/PhysRevLett.78.775
K. Murali, S. Rajasekar, M.V. Aravind, V. Kohar, W.L. Ditto, S. Sinha, Construction of logic gates exploiting resonance phenomena in nonlinear systems. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 379(2192), 20200238 (2021). https://doi.org/10.1098/rsta.2020.0238
F.J. Torrealdea, A. d’Anjou, M. Grana, C. Sarasola, Energy aspects of the synchronization of model neurons. Phys. Rev. E 74(1), 011905 (2006). https://doi.org/10.1103/PhysRevE.74.011905
C. Sarasola, F.J. Torrealdea, A. d’Anjou, A. Moujahid, M. Grana, Energy balance in feedback synchronization of chaotic systems. Phys. Rev. E 69(1), 011606 (2004). https://doi.org/10.1103/PhysRevE.69.011606
X.-L. Song, W.-Y. Jin, J. Ma, Energy dependence on the electric activities of a neuron. Chin. Phys. B 24(12), 128710 (2015). https://doi.org/10.1088/1674-1056/24/12/128710
P. Zhou, X. Hu, Z. Zhu, J. Ma, What is the most suitable Lyapunov function? Chaos Solitons Fractals 150, 111154 (2021). https://doi.org/10.1016/j.chaos.2021.111154
R. Gui, Y. Wang, Y. Yao, G. Cheng, Enhanced logical vibrational resonance in a two-well potential system. Chaos, Solitons Fractals 138, 109952 (2020). https://doi.org/10.1016/j.chaos.2020.109952
L. Yang, W. Liu, M. Yi, C. Wang, Q. Zhu, X. Zhan, Y. Jia, Vibrational resonance induced by transition of phase-locking modes in excitable systems. Phys. Rev. E 86(1), 016209 (2012). https://doi.org/10.1103/PhysRevE.86.016209
J. Zhu, T. Zhang, Y. Yang, R. Huang, A comprehensive review on emerging artificial neuromorphic devices. Appl. Phys. Rev. 7(1), 011312 (2020). https://doi.org/10.1063/1.5118217
J. Tang, F. Yuan, X. Shen, Z. Wang, M. Rao, Y. He, Y. Sun, X. Li, W. Zhang, Y. Li, B. Gao, H. Qian, G. Bi, S. Song, J.J. Yang, H. Wu, Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges. Adv. Mater. 31(49), 1902761 (2019). https://doi.org/10.1002/adma.201902761
D. Rajasekharan, A. Gaidhane, A.R. Trivedi, Y.S. Chauhan, Ferroelectric FET-based implementation of FitzHugh–Nagumo neuron model. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7), 2107–2114 (2022). https://doi.org/10.1109/tcad.2021.3101407
Author information
Authors and Affiliations
Contributions
YY contributed to conceptualization, methodology, software, data curation, formal analysis, and writing—original draft. JM performed supervision and writing—review and editing.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Yao, Y., Ma, J. Logical stochastic and vibrational resonances induced by periodic force in the FitzHugh–Nagumo neuron. Eur. Phys. J. Plus 137, 1214 (2022). https://doi.org/10.1140/epjp/s13360-022-03423-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1140/epjp/s13360-022-03423-x