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Functional organization of excitatory synaptic strength in primary visual cortex

Author

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  • Lee Cossell

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK
    Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland)

  • Maria Florencia Iacaruso

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK
    Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland)

  • Dylan R. Muir

    (Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland)

  • Rachael Houlton

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK)

  • Elie N. Sader

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK)

  • Ho Ko

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK
    Lui Che Woo Institute of Innovative Medicine and Chow Yuk Ho Technology Center for Innovative Medicine, Faculty of Medicine, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong)

  • Sonja B. Hofer

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK
    Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland)

  • Thomas D. Mrsic-Flogel

    (Physiology and Pharmacology, University College London, 21 University Street, London WC1E 6DE, UK
    Biozentrum, University of Basel, Klingelbergstrasse 50/70, CH - 4056 Basel, Switzerland)

Abstract

In complex networks of the cerebral cortex, the majority of connections are weak and only a minority strong, but it is not known why; here the authors show that excitatory neurons in primary visual cortex follow a rule by which strong connections are sparse and occur between neurons with correlated responses to visual stimuli, whereas only weak connections link neurons with uncorrelated responses.

Suggested Citation

  • Lee Cossell & Maria Florencia Iacaruso & Dylan R. Muir & Rachael Houlton & Elie N. Sader & Ho Ko & Sonja B. Hofer & Thomas D. Mrsic-Flogel, 2015. "Functional organization of excitatory synaptic strength in primary visual cortex," Nature, Nature, vol. 518(7539), pages 399-403, February.
    • Handle: RePEc:nat:nature:v:518:y:2015:i:7539:d:10.1038_nature14182
    DOI: 10.1038/nature14182
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    Citations

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    Cited by:

    1. Bettina Voelcker & Ravi Pancholi & Simon Peron, 2022. "Transformation of primary sensory cortical representations from layer 4 to layer 2," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Gabriel Koch Ocker & Krešimir Josić & Eric Shea-Brown & Michael A Buice, 2017. "Linking structure and activity in nonlinear spiking networks," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-47, June.
    3. Masakazu Agetsuma & Issei Sato & Yasuhiro R. Tanaka & Luis Carrillo-Reid & Atsushi Kasai & Atsushi Noritake & Yoshiyuki Arai & Miki Yoshitomo & Takashi Inagaki & Hiroshi Yukawa & Hitoshi Hashimoto & J, 2023. "Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    4. Stefano Recanatesi & Gabriel Koch Ocker & Michael A Buice & Eric Shea-Brown, 2019. "Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-29, July.
    5. Brian B. Jeon & Thomas Fuchs & Steven M. Chase & Sandra J. Kuhlman, 2022. "Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Yoav Printz & Pritish Patil & Mathias Mahn & Asaf Benjamin & Anna Litvin & Rivka Levy & Max Bringmann & Ofer Yizhar, 2023. "Determinants of functional synaptic connectivity among amygdala-projecting prefrontal cortical neurons in male mice," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    7. Yifan Gu & Yang Qi & Pulin Gong, 2019. "Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-34, April.
    8. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    9. Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    10. Bartul Mimica & Tuçe Tombaz & Claudia Battistin & Jingyi Guo Fuglstad & Benjamin A. Dunn & Jonathan R. Whitlock, 2023. "Behavioral decomposition reveals rich encoding structure employed across neocortex in rats," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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