IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v479y2017icp279-286.html
   My bibliography  Save this article

Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity

Author

Listed:
  • Mizusaki, Beatriz E.P.
  • Agnes, Everton J.
  • Erichsen, Rubem
  • Brunnet, Leonardo G.

Abstract

The plastic character of brain synapses is considered to be one of the foundations for the formation of memories. There are numerous kinds of such phenomenon currently described in the literature, but their role in the development of information pathways in neural networks with recurrent architectures is still not completely clear. In this paper we study the role of an activity-based process, called pre-synaptic dependent homeostatic scaling, in the organization of networks that yield precise-timed spiking patterns. It encodes spatio-temporal information in the synaptic weights as it associates a learned input with a specific response. We introduce a correlation measure to evaluate the precision of the spiking patterns and explore the effects of different inhibitory interactions and learning parameters. We find that large learning periods are important in order to improve the network learning capacity and discuss this ability in the presence of distinct inhibitory currents.

Suggested Citation

  • Mizusaki, Beatriz E.P. & Agnes, Everton J. & Erichsen, Rubem & Brunnet, Leonardo G., 2017. "Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 279-286.
    • Handle: RePEc:eee:phsmap:v:479:y:2017:i:c:p:279-286
    DOI: 10.1016/j.physa.2017.02.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117301759
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2017.02.035?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. Michael London & Arnd Roth & Lisa Beeren & Michael Häusser & Peter E. Latham, 2010. "Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex," Nature, Nature, vol. 466(7302), pages 123-127, July.
    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. Gina G. Turrigiano & Kenneth R. Leslie & Niraj S. Desai & Lana C. Rutherford & Sacha B. Nelson, 1998. "Activity-dependent scaling of quantal amplitude in neocortical neurons," Nature, Nature, vol. 391(6670), pages 892-896, February.
    4. Markus Diesmann & Marc-Oliver Gewaltig & Ad Aertsen, 1999. "Stable propagation of synchronous spiking in cortical neural networks," Nature, Nature, vol. 402(6761), pages 529-533, December.
    5. Agnes, Everton J. & Erichsen, Rubem & Brunnet, Leonardo G., 2012. "Model architecture for associative memory in a neural network of spiking neurons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 843-848.
    6. Friedemann Zenke & Everton J. Agnes & Wulfram Gerstner, 2015. "Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks," Nature Communications, Nature, vol. 6(1), pages 1-13, November.
    7. Ashok Litwin-Kumar & Brent Doiron, 2014. "Formation and maintenance of neuronal assemblies through synaptic plasticity," Nature Communications, Nature, vol. 5(1), pages 1-12, December.
    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. Matteo Saponati & Martin Vinck, 2023. "Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Gabriel Koch Ocker & Ashok Litwin-Kumar & Brent Doiron, 2015. "Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-40, August.
    3. Emiliano Torre & Carlos Canova & Michael Denker & George Gerstein & Moritz Helias & Sonja Grün, 2016. "ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-34, July.
    4. Angulo-Garcia, David & Torcini, Alessandro, 2014. "Stable chaos in fluctuation driven neural circuits," Chaos, Solitons & Fractals, Elsevier, vol. 69(C), pages 233-245.
    5. 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.
    6. 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.
    7. Omri Harish & David Hansel, 2015. "Asynchronous Rate Chaos in Spiking Neuronal Circuits," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-38, July.
    8. 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.
    9. Douglas Feitosa Tomé & Sadra Sadeh & Claudia Clopath, 2022. "Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    10. Niranjan Chakravarthy & Shivkumar Sabesan & Kostas Tsakalis & Leon Iasemidis, 2009. "Controlling epileptic seizures in a neural mass model," Journal of Combinatorial Optimization, Springer, vol. 17(1), pages 98-116, January.
    11. Hideaki Shimazaki & Shun-ichi Amari & Emery N Brown & Sonja Grün, 2012. "State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-27, March.
    12. Volker Pernice & Benjamin Staude & Stefano Cardanobile & Stefan Rotter, 2011. "How Structure Determines Correlations in Neuronal Networks," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-14, May.
    13. Sacha Jennifer van Albada & Moritz Helias & Markus Diesmann, 2015. "Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-37, September.
    14. Feng-Sheng Tsai & Yi-Li Shih & Chin-Tzong Pang & Sheng-Yi Hsu, 2019. "Formulation of Pruning Maps with Rhythmic Neural Firing," Mathematics, MDPI, vol. 7(12), pages 1-15, December.
    15. Aseel Shomar & Lukas Geyrhofer & Noam E Ziv & Naama Brenner, 2017. "Cooperative stochastic binding and unbinding explain synaptic size dynamics and statistics," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-24, July.
    16. Herbert Jaeger & Beatriz Noheda & Wilfred G. Wiel, 2023. "Toward a formal theory for computing machines made out of whatever physics offers," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    17. Panagiotis Fotiadis & Matthew Cieslak & Xiaosong He & Lorenzo Caciagli & Mathieu Ouellet & Theodore D. Satterthwaite & Russell T. Shinohara & Dani S. Bassett, 2023. "Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    18. Sean T Kelly & Jens Kremkow & Jianzhong Jin & Yushi Wang & Qi Wang & Jose-Manuel Alonso & Garrett B Stanley, 2014. "The Role of Thalamic Population Synchrony in the Emergence of Cortical Feature Selectivity," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-13, January.
    19. Matthias Schultze-Kraft & Markus Diesmann & Sonja Grün & Moritz Helias, 2013. "Noise Suppression and Surplus Synchrony by Coincidence Detection," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-15, April.
    20. Shan Shen & Xiaolong Jiang & Federico Scala & Jiakun Fu & Paul Fahey & Dmitry Kobak & Zhenghuan Tan & Na Zhou & Jacob Reimer & Fabian Sinz & Andreas S. Tolias, 2022. "Distinct organization of two cortico-cortical feedback pathways," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    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:phsmap:v:479:y:2017:i:c:p:279-286. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.