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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 5/2018

20.06.2018 | Research Article

Vibrational resonance in a randomly connected neural network

verfasst von: Yingmei Qin, Chunxiao Han, Yanqiu Che, Jia Zhao

Erschienen in: Cognitive Neurodynamics | Ausgabe 5/2018

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Abstract

A randomly connected network is constructed with similar characteristics (e.g., the ratio of excitatory and inhibitory neurons, the connection probability between neurons, and the axonal conduction delays) as that in the mammalian neocortex and the effects of high-frequency electrical field on the response of the network to a subthreshold low-frequency electrical field are studied in detail. It is found that both the amplitude and frequency of the high-frequency electrical field can modulate the response of the network to the low-frequency electric field. Moreover, vibrational resonance (VR) phenomenon induced by the two types of electrical fields can also be influenced by the network parameters, such as the neuron population, the connection probability between neurons and the synaptic strength. It is interesting that VR is found to be related with the ratio of excitatory neurons that are under high-frequency electrical stimuli. In summary, it is suggested that the interaction of excitatory and inhibitory currents is also an important factor that can influence the performance of VR in neural networks.
Vorheriger Artikel The informational entropy endowed in cortical oscillations
Nächster Artikel An observational learning task using Barnes maze in rats

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Literatur
Ağaoğlu SN, Çalim A, Özer M, Uzuntarla M (2016) Effects of synaptic heterogeneity on vibrational resonance in biological neural networks. In: Medical technologies national congress (TIPTEKNO), pp 1–4
Bateup HS, Johnson CA, Denefrio CL, Saulnier JL, Kornacker K, Sabatini BL (2013) Excitatory/inhibitory synaptic imbalance leads to hippocampal hyperexcitability in mouse models of tuberous sclerosis. Neuron 78(3):510–522CrossRefPubMedPubMedCentral
Benzi R, Sutera A, Vulpiani A (1981) The mechanism of stochastic resonance. J Phys A Math Gen 14(11):L453–L457CrossRef
Bikson M, Inoue M, Akiyama H, Deans JK, Fox JE, Miyakawa H, Jefferys JG (2004) Effects of uniform extracellular DC electric fields on excitability in rat hippocampal slices in vitro. J Physiol 557(1):175–190CrossRefPubMedPubMedCentral
Chavet LE, Kasschau M, Datta A, Knotkova H, Stevens MC, Alonzo A, Loo C, Krull KR, Bikson M (2015) Remotely-supervised transcranial direct current stimulation (tdcs) for clinical trials: guidelines for technology and protocols. Front Syst Neurosci 9:26
Chizhevsky VN (2008) Analytical study of vibrational resonance in an overdamped bistable oscillator. Int J Bifurc Chaos 18(6):1767–1773CrossRef
Chizhevsky VN, Giacomelli G (2005) Improvement of signal-to-noise ratio in a bistable optical system: comparison between vibrational and stochastic resonance. Phys Rev A 71(1):011801CrossRef
Deans JK, Powell AD, Jefferys JGR (2007) Sensitivity of coherent oscillations in rat hippocampus to ac electric fields. J Physiol 583(2):555–565CrossRefPubMedPubMedCentral
Deng B, Wang J, Wei X, Tsang KM, Chan WL (2010) Vibrational resonance in neuron populations. Chaos 20(1):013113CrossRefPubMed
Diesmann M, Gewaltig MO, Aertsen A (1999) Stable propagation of synchronous spiking in cortical neural networks. Nature 402(6761):529–533CrossRefPubMed
Fraccalvieri M, Salomone M, Zingarelli EM, Rivarossa F, Bruschi S (2015) Electrical stimulation for difficult wounds: only an alternative procedure? Int Wound J 12(6):669–673CrossRefPubMed
Fregni F, Boggio PS, Lima MC, Ferreira MJL, Wagner T, Rigonatti SP, Castro AW, Souza DR, Riberto M, Freedman SD, Nitsche MA, Pascual-Leone A (2006) A sham-controlled, phase ii trial of transcranial direct current stimulation for the treatment of central pain in traumatic spinal cord injury. Pain 122(1–2):197–209CrossRefPubMed
Fröehlich F, McCormick DA (2010) Endogenous electric fields may guide neocortical network activity. Neuron 67(1):129–143CrossRef
Gammaitoni L, Hänggi P, Jung P, Marchesoni F (1998) Stochastic resonance. Rev Mod Phys 70(1):223–287CrossRef
Gravier A, Quek C, Duch W, Wahab A, Gravier-Rymaszewska J (2016) Neural network modelling of the influence of channelopathies on reflex visual attention. Cogn Neurodyn 10(1):49–72CrossRefPubMed
Guo D, Li C (2011) Signal propagation in feedforward neuronal networks with unreliable synapses. J Comput Neurosci 30(3):567–587CrossRefPubMed
Hånell A, Greer JE, Jacobs KM (2015) Increased network excitability due to altered synaptic inputs to neocortical layer v intact and axotomized pyramidal neurons after mild traumatic brain injury. J Neurotrauma 32(20):1590–1598CrossRefPubMedPubMedCentral
Iyer MB, Mattu U, Grafman J, Lomarev M, Sato S, Wassermann EM (2005) Safety and cognitive effect of frontal DC brain polarization in healthy individuals. Neurology 64(5):872–875CrossRefPubMed
Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14(6):1569–1572CrossRefPubMed
Kawaguchi M, Mino H, Durand DM (2011) Stochastic resonance can enhance information transmission in neural networks. IEEE Trans Biomed Eng 58(7):1950–1958CrossRefPubMed
Kim SY, Lim W (2017) Dynamical responses to external stimuli for both cases of excitatory and inhibitory synchronization in a complex neuronal network. Cogn Neurodyn 11(5):395–413CrossRefPubMedPubMedCentral
Kirov R, Weiss C, Siebner HR, Born J, Marshall L (2009) Slow oscillation electrical brain stimulation during waking promotes eeg theta activity and memory encoding. Proc Natl Acad Sci USA 106(36):15460–15465CrossRefPubMedPubMedCentral
Kreuz T, Luccioli S, Torcini A (2006) Double coherence resonance in neuron models driven by discrete correlated noise. Phys Rev Lett 97(23):238101CrossRefPubMed
Kumar A, Rotter S, Aertsen A (2010) Spiking activity propagation in neuronal networks: reconciling different persepctives on neural coding. Nat Rev Neurosci 11(9):615–627CrossRefPubMed
Li X, Wang J, Hu W (2007) Effects of chemical synapses on the enhancement of signal propagation in coupled neurons near the canard regime. Phys Rev E 76(4):041902CrossRef
Liebetanz D, Klinker F, Hering D, Koch R, Nitsche MA, Potschka H, Löscher W, Paulus W, Tergau F (2006) Antoconvulsant effects of transcranial direct-current stimulation (tDCS) in the rat cortical ramp model of focal epilepsy. Epilepsia 47(7):1216–1224CrossRefPubMed
Lyamzin DR, Barnes SJ, Donato R, Garcia-Lazaro JA, Keck T, Lesica NA (2015) Nonlinear transfer of signal and noise correlations in cortical networks. J Neurosci 35(21):8065–8080CrossRefPubMedPubMedCentral
Megam Ngouonkadi EB, Fotsin HB, Kabong Nono M, Louodop Fotso PH (2016) Noise effects on robust synchronization of a small pacemaker neuronal ensemble via nonlinear controller: electronic circuit design. Cogn Neurodyn 10(5):385–404CrossRefPubMedPubMedCentral
Men C, Wang J, Qin YM, Deng B, Tsang KM, Chan WL (2012) Propagation of spiking regularity and double coherence resonance in feedforward networks. Chaos 22(1):013104CrossRefPubMed
Nitsche MA, Paulus W (2000) Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. J Physiol 527(3):633–639CrossRefPubMedPubMedCentral
Okun M, Steinmetz NA, Cossell L, Iacaruso MF, Ko H, Bartho P, Moore T, Hofer SB, Mrsic-Flogel TD, Carandini M, Harris KD (2015) Diverse coupling of neurons to populations in sensory cortex. Nature 521(7553):511–515CrossRefPubMedPubMedCentral
Pogosyan A, Gaynor LD, Eusebio A, Brown P (2009) Boosting cortical activity at beta-band frequencies slows movement in humans. Curr Biol 19(19):1637–1641CrossRefPubMedPubMedCentral
Qin YM, Wang J, Men C, Deng B, Xl Wei (2011) Vibrational resonance in feedforward network. Chaos 21(2):023133CrossRefPubMed
Qin YM, Wang J, Men C, Deng B, Wei XL, Yu HT, Chan WL (2014) Stochastic resonance in feedforward acupuncture networks. Commun Nonlinear Sci 19(10):3660–3670CrossRef
Radman T, Ramos RL, Brumberg JC, Bikson M (2009) Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in vitro. Brain Stimul 2(4):215–228CrossRefPubMedPubMedCentral
Reato D, Rahman A, Bikson M, Parra LC (2010) Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing. J Neurosci 30(45):15067–15079CrossRefPubMedPubMedCentral
Renart A, de la Rocha J, Bartho P, Hollender L, Parge N, Reyes A, Harris KD (2010) The asychronous state in cortical circuits. Science 327(5965):587–590CrossRefPubMedPubMedCentral
Stacey WC, Durand DM (2002) Noise and coupling affect signal detection and bursting in a simulated physiological neural network. J Neurophysiol 88(5):2598–2611CrossRefPubMed
Sun J, Deng B, Liu C, Yu H, Wang J, Wei X, Zhao J (2013) Vibrational resonance in neuron populations with hybrid synapses. Appl Math Model 37(9):6311–6324CrossRef
Thomson JM, Doruk D, Mascio B, Fregni F, Cerruti C (2015) Transcranial direct current stimulation modulates efficiency of reading processes. Front Hum Neurosci 9:114CrossRefPubMedPubMedCentral
Ullner E, Zaikin A, García-Ojalvo J, Báscones R, Kurths J (2003) Vibrational resonance and vibrational propagation in excitable systems. Phys Lett A 312(5):348–354CrossRef
Xue M, Wang J, Deng B, Wei X (2013) Vibrational resonance in feedforward neuronal network with unreliable synapses. Eur Phys J B 86:122CrossRef
Yu H, Wang J, Liu C, Deng B, Wei X (2011) Vibrational resonance in excitable neuronal systems. Chaos 21(4):043101CrossRefPubMed
Yu H, Guo X, Wang J, Deng B, Wei X (2014) Effects of spike-time-dependent plasticity on the stochastic resonance of small-world neuronal networks. Chaos 24(3):033125CrossRefPubMed
Yu H, Guo X, Wang J, Deng B, Wei X (2015) Vibrational resonance in adaptive small-world neuronal networks with spike-timing-dependent plasticity. Physica A 436(26):170–179CrossRef
Zaikin AA, López L, Baltanás JP, Kurths J, Sanjuán MA (2002) Vibrational resonance in a noise-induced structure. Phys Rev E 66(1):011106CrossRef
Zhao J, Deng B, Qin Y, Men C, Wang J, Wei X, Sun J (2017) Weak electric fields detectability in a noisy neural network. Cogn Neurodyn 11(1):81–90CrossRefPubMed
Zhao J, Qin YM, Che YQ (2018) Effects of topologies on signal propagation in feedforward networks. Chaos 28(1):013117CrossRefPubMed
Zhou CS, Kurths J, Hu BB (2003) Frequency and phase locking of noise-sustained oscillations in coupled excitable systems: array-enhanced resonances. Phys Rev E 67(3):030101CrossRef
Metadaten
Titel
Vibrational resonance in a randomly connected neural network
verfasst von
Yingmei Qin
Chunxiao Han
Yanqiu Che
Jia Zhao
Publikationsdatum
20.06.2018
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 5/2018
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-018-9492-2

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