Influence of coupling asymmetry on signal amplification in a three-node motif

doi:10.1088/1674-1056/ac9363

中国物理B ›› 2023, Vol. 32 ›› Issue (1): 10504-010504.doi: 10.1088/1674-1056/ac9363

Influence of coupling asymmetry on signal amplification in a three-node motif

Xiaoming Liang(梁晓明)^1,†, Chao Fang(方超)¹, Xiyun Zhang(张希昀)², and Huaping Lü(吕华平)¹

1 School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China;
2 Department of Physics, Jinan University, Guangzhou 510632, China

收稿日期:2022-07-05 修回日期:2022-09-02 接受日期:2022-09-21 出版日期:2022-12-08 发布日期:2022-12-23
通讯作者: Xiaoming Liang E-mail:xmliang@jsnu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 12175087 and 12105117).

Influence of coupling asymmetry on signal amplification in a three-node motif

Xiaoming Liang(梁晓明)^1,†, Chao Fang(方超)¹, Xiyun Zhang(张希昀)², and Huaping Lü(吕华平)¹

1 School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China;
2 Department of Physics, Jinan University, Guangzhou 510632, China

Received:2022-07-05 Revised:2022-09-02 Accepted:2022-09-21 Online:2022-12-08 Published:2022-12-23
Contact: Xiaoming Liang E-mail:xmliang@jsnu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 12175087 and 12105117).

摘要/Abstract

摘要： The three-node feedforward motif has been revealed to function as a weak signal amplifier. In this motif, two nodes (input nodes) receive a weak input signal and send it unidirectionally to the third node (output node). Here, we change the motif's unidirectional couplings (feedforward) to bidirectional couplings (feedforward and feedback working together). We find that a small asymmetric coupling, in which the feedforward effect is stronger than the feedback effect, may enable the three-node motif to go through two distinct dynamic transitions, giving rise to a double resonant signal response. We present an analytical description of the double resonance, which agrees with the numerical findings.

关键词: network motif, synchronization, coupling asymmetry, signal amplification

Abstract: The three-node feedforward motif has been revealed to function as a weak signal amplifier. In this motif, two nodes (input nodes) receive a weak input signal and send it unidirectionally to the third node (output node). Here, we change the motif's unidirectional couplings (feedforward) to bidirectional couplings (feedforward and feedback working together). We find that a small asymmetric coupling, in which the feedforward effect is stronger than the feedback effect, may enable the three-node motif to go through two distinct dynamic transitions, giving rise to a double resonant signal response. We present an analytical description of the double resonance, which agrees with the numerical findings.

Key words: network motif, synchronization, coupling asymmetry, signal amplification

中图分类号: (Synchronization; coupled oscillators)

05.45.Xt

87.19.ln (Oscillations and resonance)

Xiaoming Liang(梁晓明), Chao Fang(方超), Xiyun Zhang(张希昀), and Huaping Lü(吕华平). Influence of coupling asymmetry on signal amplification in a three-node motif[J]. 中国物理B, 2023, 32(1): 10504-010504.

Xiaoming Liang(梁晓明), Chao Fang(方超), Xiyun Zhang(张希昀), and Huaping Lü(吕华平). Influence of coupling asymmetry on signal amplification in a three-node motif[J]. Chin. Phys. B, 2023, 32(1): 10504-010504.

参考文献

[1] Samardak A, Nogaret A, Janson N B, Balanov A G, Farrer I and Ritchie D A 2009 Phys. Rev. Lett. 102 226802
[2] Zhou J, Zhou Y and Liu Z 2011 Phys. Rev. E 83 046107
[3] Jiang L, Lai L, Yu T and Luo M 2021 Chin. Phys. B 30 060502
[4] Lillicrap T P, Santoro A, Marris L, Akerman C J and Hinton G 2020 Nat. Rev. Neurosci. 21 335
[5] Yao Y 2021 Chin. Phys. B 30 060503
[6] Gammaitoni L, Hänggi P, Jung P and Marchesoni F 1998 Rev. Mod. Phys. 70 223
[7] Badzey R L and Mohanty P 2005 Nature 437 995
[8] Kanki T, Hotta Y, Asakawa N, Kawai T and Tanaka H 2010 Appl. Phys. Lett. 96 242108
[9] Karabalin R B, Lifshitz R, Cross M C, Matheny M H, Masmanidis S C and Roukes M L 2011 Phys. Rev. Lett. 106 094102
[10] Peters K J H, Geng Z, Malmir K, Smith J M and Rodriguez S R K 2021 Phys. Rev. Lett. 126 213901
[11] Zhang Y, Hu G and Gammaitoni L 1998 Phys. Rev. E 58 2952
[12] Lü H and Hu G 2004 Phys. Rev. E 69 036212
[13] Li Q and Lang X 2006 Phys. Rev. E 74 031905
[14] Rousseau D, Duan F and Chapeau-Blondeau 2003 Phys. Rev. E 68 031107
[15] Lindner J F, Chandramouli S, Bulsara A R, Löcher M and Ditto W L 1998 Phys. Rev. Lett. 81 5048
[16] Barabási A L and Albert R 1999 Science 286 509
[17] Strogatz S H 2001 Nature 410 268
[18] Bullmore E and Sporns O 2009 Nat. Rev. Neurosci. 10 186
[19] Wang Q, Perc M, Duan Z and Chen G 2009 Phys. Rev. E 80 026206
[20] Zhang J, Hang S, Pang S, Wang M and Gao S 2015 Chin. Phys. Lett. 32 120502
[21] Zhang X, Boccaletti S, Guan S and Liu Z 2015 Phys. Rev. Lett. 114 038701
[22] Boccaletti S, Almendral J A, Guan S, Leyva I, Liu Z, Sendiña-Nadal I, Wang Z and Zou Y 2016 Phys. Rep. 660 1
[23] Pan T, Huang X, Xu C and Lü H 2019 Chin. Phys. B 28 120503
[24] Acebrón J A, Lozano S and Arenas A 2007 Phys. Rev. Lett. 99 128701
[25] Kondo T, Liu Z and Munakata T 2010 Phys. Rev. E 81 041115
[26] Chacón R and Martínez P J 2015 Phys. Rev. E 92 012821
[27] Shen Q and Liu Z 2021 Phys. Rev. E 103 052414
[28] Gao Z, Hu B and Hu G 2001 Phys. Rev. E 65 016209
[29] Perc M 2007 Phys. Rev. E 76 066203
[30] Perc M 2008 Phys. Rev. E 78 036105
[31] Liu Z and Munakata T 2008 Phys. Rev. E 78 046111
[32] Alon U 2007 Nat. Rev. Genet. 8 450
[33] Milo R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D and Alon U 2002 Science 298 824
[34] McCullen N J, Mullin T and Golubitsky M 2007 Phys. Rev. Lett. 98 254101
[35] Ushakov Y V, Dubkov A A and Spagnolo B 2011 Phys. Rev. Lett. 107 108103
[36] Guo D and Li C 2009 Phys. Rev. E 79 051921
[37] Liang X, Yanchuk S and Zhao L 2013 Phys. Rev. E 88 012910
[38] Liang X, Tang M and Lü H 2013 Chaos 23 043113
[39] Ding W, Gu C and Liang X 2016 Commun. Theor. Phys. 65 189
[40] Bragard J, Boccaletti S and Mancini H 2003 Phys. Rev. Lett. 91 064103
[41] Moss F, Pierson D and O'Gorman D 1994 Int. J. Bifurcation Chaos Appl. Sci. Eng. 4 1383
[42] Pikovsky A, Zaikin A and de la Casa M A 2002 Phys. Rev. Lett. 88 050601
[43] Tessone C J, Mirasso C R, Toral R and Gunton J D 2006 Phys. Rev. Lett. 97 194101
[44] Wang Z and Liu Z 2021 Chaos 31 063126
[45] Lu F and Liu Z 2009 Chin. Phys. Lett. 26 040503
[46] Liang X and Zhang X 2021 Phys. Rev. E 104 034204
[47] Liang X, Liu C and Zhang X 2020 Phys. Rev. E 101 022205

Influence of coupling asymmetry on signal amplification in a three-node motif

Influence of coupling asymmetry on signal amplification in a three-node motif

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	Ya Wang(王亚), Guoping Sun(孙国平), and Guodong Ren(任国栋). Diffusive field coupling-induced synchronization between neural circuits under energy balance[J]. 中国物理B, 2023, 32(4): 40504-040504.
[2]	Zhan-Hong Guo(郭展宏), Zhi-Jun Li(李志军), Meng-Jiao Wang(王梦蛟), and Ming-Lin Ma(马铭磷). Hopf bifurcation and phase synchronization in memristor-coupled Hindmarsh-Rose and FitzHugh-Nagumo neurons with two time delays[J]. 中国物理B, 2023, 32(3): 38701-038701.
[3]	Lei Tao(陶蕾) and Sheng-Jun Wang(王圣军). Power-law statistics of synchronous transition in inhibitory neuronal networks[J]. 中国物理B, 2022, 31(8): 80505-080505.
[4]	Yi-Xuan Shan(单仪萱), Hui-Lan Yang(杨惠兰), Hong-Bin Wang(王宏斌), Shuai Zhang(张帅), Ying Li(李颖), and Gui-Zhi Xu(徐桂芝). Effect of astrocyte on synchronization of thermosensitive neuron-astrocyte minimum system[J]. 中国物理B, 2022, 31(8): 80507-080507.
[5]	Dong-Zhou Zhong(钟东洲), Zhe Xu(徐喆), Ya-Lan Hu(胡亚兰), Ke-Ke Zhao(赵可可), Jin-Bo Zhang(张金波),Peng Hou(侯鹏), Wan-An Deng(邓万安), and Jiang-Tao Xi(习江涛). Multi-target ranging using an optical reservoir computing approach in the laterally coupled semiconductor lasers with self-feedback[J]. 中国物理B, 2022, 31(7): 74205-074205.
[6]	Biao Jiang(姜彪), Wen-Jun Zhang(张文君), Mehran Khan Alam, Shu-Yun Yu(于淑云), Guang-Bing Han(韩广兵), Guo-Lei Liu(刘国磊), Shi-Shen Yan(颜世申), and Shi-Shou Kang(康仕寿). Synchronization of nanowire-based spin Hall nano-oscillators[J]. 中国物理B, 2022, 31(7): 77503-077503.
[7]	Xiang Ling(凌翔), Bo Hua(华博), Ning Guo(郭宁), Kong-Jin Zhu(朱孔金), Jia-Jia Chen(陈佳佳), Chao-Yun Wu(吴超云), and Qing-Yi Hao(郝庆一). Synchronization in multilayer networks through different coupling mechanisms[J]. 中国物理B, 2022, 31(4): 48901-048901.
[8]	Alireza Bahramian, Sajjad Shaukat Jamal, Fatemeh Parastesh, Kartikeyan Rajagopal, and Sajad Jafari. Collective behavior of cortico-thalamic circuits: Logic gates as the thalamus and a dynamical neuronal network as the cortex[J]. 中国物理B, 2022, 31(2): 28901-028901.
[9]	Atiyeh Bayani, Sajad Jafari, and Hamed Azarnoush. Explosive synchronization: From synthetic to real-world networks[J]. 中国物理B, 2022, 31(2): 20504-020504.
[10]	Haibo Qiu(邱海波), Yuanjie Dong(董远杰), Huangli Zhang(张黄莉), and Jing Tian(田静). Measure synchronization in hybrid quantum-classical systems[J]. 中国物理B, 2022, 31(12): 120503-120503.
[11]	Yong-Bing Hu(胡永兵), Xiao-Min Yang(杨晓敏), Da-Wei Ding(丁大为), and Zong-Li Yang(杨宗立). Finite-time complex projective synchronization of fractional-order complex-valued uncertain multi-link network and its image encryption application[J]. 中国物理B, 2022, 31(11): 110501-110501.
[12]	Guan Wang(王冠), Zhixia Ding(丁芝侠), Sai Li(李赛), Le Yang(杨乐), and Rui Jiao(焦睿). Finite-time Mittag—Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay[J]. 中国物理B, 2022, 31(10): 100201-100201.
[13]	Hongwei Zhang(张红伟), Ran Cheng(程然), and Dawei Ding(丁大为). Finite-time synchronization of uncertain fractional-order multi-weighted complex networks with external disturbances via adaptive quantized control[J]. 中国物理B, 2022, 31(10): 100504-100504.
[14]	Dong-Jie Qian(钱冬杰). Explosive synchronization in a mobile network in the presence of a positive feedback mechanism[J]. 中国物理B, 2022, 31(1): 10503-010503.
[15]	Ning Li(李宁), Haiyi Sun(孙海义), Xin Jing(靖新), and Zhongtang Chen(陈仲堂). Dynamic modeling and aperiodically intermittent strategy for adaptive finite-time synchronization control of the multi-weighted complex transportation networks with multiple delays[J]. 中国物理B, 2021, 30(9): 90507-090507.