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A neural circuit for spatial summation in visual cortex

Author

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  • 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
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    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. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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