IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v490y2012i7419d10.1038_nature11526.html
   My bibliography  Save this article

A neural circuit for spatial summation in visual cortex

Author

Listed:
  • Hillel Adesnik

    (Howard Hughes Medical Institute, Center for Neural Circuits and Behavior, University of California San Diego
    Present address: Department of Molecular and Cell Biology and the Helen Wills Neuroscience Institute, University of California, Berkeley 94720, USA.)

  • William Bruns

    (Howard Hughes Medical Institute, Center for Neural Circuits and Behavior, University of California San Diego)

  • Hiroki Taniguchi

    (Cold Spring Harbor Laboratory, 1 Bungtown Road)

  • Z. Josh Huang

    (Cold Spring Harbor Laboratory, 1 Bungtown Road)

  • Massimo Scanziani

    (Howard Hughes Medical Institute, Center for Neural Circuits and Behavior, University of California San Diego)

Abstract

The response of cortical neurons to a sensory stimulus is modulated by the context. In the visual cortex, for example, stimulation of a pyramidal cell's receptive-field surround can attenuate the cell’s response to a stimulus in the centre of its receptive field, a phenomenon called surround suppression. Whether cortical circuits contribute to surround suppression or whether the phenomenon is entirely relayed from earlier stages of visual processing is debated. Here we show that, in contrast to pyramidal cells, the response of somatostatin-expressing inhibitory neurons (SOMs) in the superficial layers of the mouse visual cortex increases with stimulation of the receptive-field surround. This difference results from the preferential excitation of SOMs by horizontal cortical axons. By perturbing the activity of SOMs, we show that these neurons contribute to pyramidal cells' surround suppression. These results establish a cortical circuit for surround suppression and attribute a particular function to a genetically defined type of inhibitory neuron.

Suggested Citation

  • Hillel Adesnik & William Bruns & Hiroki Taniguchi & Z. Josh Huang & Massimo Scanziani, 2012. "A neural circuit for spatial summation in visual cortex," Nature, Nature, vol. 490(7419), pages 226-231, October.
    • Handle: RePEc:nat:nature:v:490:y:2012:i:7419:d:10.1038_nature11526
    DOI: 10.1038/nature11526
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature11526
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature11526?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Fuqiang & Ma, Jun & Zhang, Ge, 2019. "A new neuron model under electromagnetic field," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 590-599.
    2. Alireza Saeedi & Kun Wang & Ghazaleh Nikpourian & Andreas Bartels & Nikos K. Logothetis & Nelson K. Totah & Masataka Watanabe, 2024. "Brightness illusions drive a neuronal response in the primary visual cortex under top-down modulation," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    3. Yanjie Wang & Zhaonan Chen & Guofen Ma & Lizhao Wang & Yanmei Liu & Meiling Qin & Xiang Fei & Yifan Wu & Min Xu & Siyu Zhang, 2023. "A frontal transcallosal inhibition loop mediates interhemispheric balance in visuospatial processing," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    4. Kotaro Ishizu & Shosuke Nishimoto & Yutaro Ueoka & Akihiro Funamizu, 2024. "Localized and global representation of prior value, sensory evidence, and choice in male mouse cerebral cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    5. Takafumi Arakaki & G Barello & Yashar Ahmadian, 2019. "Inferring neural circuit structure from datasets of heterogeneous tuning curves," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-38, April.
    6. Liu, Zhilong & Zhou, Ping & Ma, Jun & Hobiny, Aatef & Alzahrani, Faris, 2020. "Autonomic learning via saturation gain method, and synchronization between neurons," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    7. Thomas Miconi & Rufin VanRullen, 2016. "A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-18, February.
    8. Christopher Ebsch & Robert Rosenbaum, 2018. "Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-28, March.
    9. Bryce D. Grier & Samuel Parkins & Jarra Omar & Hey-Kyoung Lee, 2023. "Selective plasticity of fast and slow excitatory synapses on somatostatin interneurons in adult visual cortex," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Jack Phu & Michael Kalloniatis & Sieu K Khuu, 2016. "The Effect of Attentional Cueing and Spatial Uncertainty in Visual Field Testing," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-18, March.
    11. Manoj Kumar & Gregory Handy & Stylianos Kouvaros & Yanjun Zhao & Lovisa Ljungqvist Brinson & Eric Wei & Brandon Bizup & Brent Doiron & Thanos Tzounopoulos, 2023. "Cell-type-specific plasticity of inhibitory interneurons in the rehabilitation of auditory cortex after peripheral damage," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
    12. 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.

    More about this item

    Statistics

    Access and download statistics

    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:nat:nature:v:490:y:2012:i:7419:d:10.1038_nature11526. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.