IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v180y2024ics0960077924000560.html
   My bibliography  Save this article

Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks

Author

Listed:
  • Deng, Liyuan
  • Huo, Siyu
  • Chen, Aihua
  • Liu, Zonghua

Abstract

How weak external signals are detected in cognitive subnetworks is one of the key problems to understand how brain functions work. So far, most studies on signal responses are focused on artificial complex networks and it is found that a topological resonance can be induced by the feature of scale-free networks, but little attention has been paid to real brain networks, especially the cognitive subnetworks responsible for signal responses. Herein we address this problem in real brain networks but do not find such a topological resonance, indicating that scale-free is not the key feature of brain networks. Surprisingly, we find a novel resonance effect of signal response induced by heterogeneously mixed positive and negative couplings and thus name it as coupling resonance of signal responses, which explains the mechanism of how brain networks, especially the cognitive subnetworks, detects weak signals. We investigate this coupling resonance in the cases of both heterogeneous couplings and heterogeneous oscillators and find that there is an optimal phenomenon on both the average and standard deviation of coupling strengths. Further, we confirm this coupling resonance in real cognitive subnetworks with weighted links. Finally, we provide a theoretical analysis to show that this coupling resonant comes from the coexistence of the two different local states of neighboring nodes.

Suggested Citation

  • Deng, Liyuan & Huo, Siyu & Chen, Aihua & Liu, Zonghua, 2024. "Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924000560
    DOI: 10.1016/j.chaos.2024.114505
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077924000560
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2024.114505?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shen, Qiwei & Liu, Zonghua, 2023. "Unidirectional links prefer local firing propagation in the neural network of C. elegans," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    2. Michael Wehr & Anthony M. Zador, 2003. "Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex," Nature, Nature, vol. 426(6965), pages 442-446, November.
    3. Wen Xiong & James E. Ferrell, 2003. "A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision," Nature, Nature, vol. 426(6965), pages 460-465, November.
    4. Mingshan Xue & Bassam V. Atallah & Massimo Scanziani, 2014. "Equalizing excitation–inhibition ratios across visual cortical neurons," Nature, Nature, vol. 511(7511), pages 596-600, July.
    5. Yousheng Shu & Andrea Hasenstaub & David A. McCormick, 2003. "Turning on and off recurrent balanced cortical activity," Nature, Nature, vol. 423(6937), pages 288-293, May.
    6. Timothy S. Gardner & Charles R. Cantor & James J. Collins, 2000. "Construction of a genetic toggle switch in Escherichia coli," Nature, Nature, vol. 403(6767), pages 339-342, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alon Poleg-Polsky & Jeffrey S Diamond, 2011. "Imperfect Space Clamp Permits Electrotonic Interactions between Inhibitory and Excitatory Synaptic Conductances, Distorting Voltage Clamp Recordings," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-11, April.
    2. Martin Boerlin & Christian K Machens & Sophie Denève, 2013. "Predictive Coding of Dynamical Variables in Balanced Spiking Networks," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-16, November.
    3. Leo Kozachkov & Mikael Lundqvist & Jean-Jacques Slotine & Earl K Miller, 2020. "Achieving stable dynamics in neural circuits," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-15, August.
    4. Ashok Litwin-Kumar & Anne-Marie M Oswald & Nathaniel N Urban & Brent Doiron, 2011. "Balanced Synaptic Input Shapes the Correlation between Neural Spike Trains," PLOS Computational Biology, Public Library of Science, vol. 7(12), pages 1-14, December.
    5. Yichen Li & Yumin Li & Hui Zhang & Yong Chen, 2011. "MicroRNA-Mediated Positive Feedback Loop and Optimized Bistable Switch in a Cancer Network Involving miR-17-92," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-9, October.
    6. Yu, Dong & Wang, Guowei & Ding, Qianming & Li, Tianyu & Jia, Ya, 2022. "Effects of bounded noise and time delay on signal transmission in excitable neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    7. Margot C Bjoring & C Daniel Meliza, 2019. "A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex," PLOS Computational Biology, Public Library of Science, vol. 15(1), pages 1-20, January.
    8. Matteo Farinella & Daniel T Ruedt & Padraig Gleeson & Frederic Lanore & R Angus Silver, 2014. "Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-21, April.
    9. Ci Kong & Yin Yang & Tiancong Qi & Shuyi Zhang, 2025. "Predictive genetic circuit design for phenotype reprogramming in plants," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    10. Tomas Tokar & Jozef Ulicny, 2013. "The Mathematical Model of the Bcl-2 Family Mediated MOMP Regulation Can Perform a Non-Trivial Pattern Recognition," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-8, December.
    11. David Pérez-González & Olga Hernández & Ellen Covey & Manuel S Malmierca, 2012. "GABAA-Mediated Inhibition Modulates Stimulus-Specific Adaptation in the Inferior Colliculus," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-14, March.
    12. Catalina Vich & Rafel Prohens & Antonio E. Teruel & Antoni Guillamon, 2020. "Estimation of Synaptic Activity during Neuronal Oscillations," Mathematics, MDPI, vol. 8(12), pages 1-22, December.
    13. Christoph Stelzer & Yaakov Benenson, 2020. "Precise determination of input-output mapping for multimodal gene circuits using data from transient transfection," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-30, November.
    14. T. Ochiai & J. C. Nacher, 2007. "Stochastic analysis of autoregulatory gene expression dynamics," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 14(4), pages 377-388, November.
    15. Pan Xu & Yuanlei Yue & Juntao Su & Xiaoqian Sun & Hongfei Du & Zhichao Liu & Rahul Simha & Jianhui Zhou & Chen Zeng & Hui Lu, 2022. "Pattern decorrelation in the mouse medial prefrontal cortex enables social preference and requires MeCP2," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. Ashty S. Karim & Dylan M. Brown & Chloé M. Archuleta & Sharisse Grannan & Ludmilla Aristilde & Yogesh Goyal & Josh N. Leonard & Niall M. Mangan & Arthur Prindle & Gabriel J. Rocklin & Keith J. Tyo & L, 2024. "Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    17. Bonassi Fernando V. & You Lingchong & West Mike, 2011. "Bayesian Learning from Marginal Data in Bionetwork Models," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-27, October.
    18. Zhdanov, Vladimir P., 2011. "Periodic perturbation of the bistable kinetics of gene expression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 57-64.
    19. Simeon D. Castle & Michiel Stock & Thomas E. Gorochowski, 2024. "Engineering is evolution: a perspective on design processes to engineer biology," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    20. Jean Peccoud & Mark Isalan, 2012. "The PLOS ONE Synthetic Biology Collection: Six Years and Counting," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-7, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924000560. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.