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The logic of recurrent circuits in the primary visual cortex.

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Title: The logic of recurrent circuits in the primary visual cortex.
Authors: Oldenburg, Ian Antón (AUTHOR), Hendricks, William D. (AUTHOR), Handy, Gregory (AUTHOR), Shamardani, Kiarash (AUTHOR), Bounds, Hayley A. (AUTHOR), Doiron, Brent (AUTHOR), Adesnik, Hillel (AUTHOR)
Source: Nature Neuroscience. Jan2024, Vol. 27 Issue 1, p137-147. 11p.
Abstract: Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing visual input. However, the rules that govern the influence of recurrent activity remain enigmatic. We used ensemble-specific two-photon optogenetics in the mouse visual cortex to isolate the impact of recurrent activity from external visual input. We found that the spatial arrangement and the visual feature preference of the stimulated ensemble and the neighboring neurons jointly determine the net effect of recurrent activity. Photoactivation of these ensembles drives suppression in all cells beyond 30 µm but uniformly drives activation in closer similarly tuned cells. In nonsimilarly tuned cells, compact, cotuned ensembles drive net suppression, while diffuse, cotuned ensembles drive activation. Computational modeling suggests that highly local recurrent excitatory connectivity and selective convergence onto inhibitory neurons explain these effects. Our findings reveal a straightforward logic in which space and feature preference of cortical ensembles determine their impact on local recurrent activity. Using two-photon (2P) optogenetics and computational modeling, the authors find that neither space-based nor feature-based rules are sufficient to describe cell–cell interactions within the primary visual cortex (V1). Instead, models must include interactions between these cardinal axes. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Oldenburg%2C+Ian+Antón%22">Oldenburg, Ian Antón</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hendricks%2C+William+D%2E%22">Hendricks, William D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Handy%2C+Gregory%22">Handy, Gregory</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shamardani%2C+Kiarash%22">Shamardani, Kiarash</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bounds%2C+Hayley+A%2E%22">Bounds, Hayley A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Doiron%2C+Brent%22">Doiron, Brent</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adesnik%2C+Hillel%22">Adesnik, Hillel</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Jan2024, Vol. 27 Issue 1, p137-147. 11p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing visual input. However, the rules that govern the influence of recurrent activity remain enigmatic. We used ensemble-specific two-photon optogenetics in the mouse visual cortex to isolate the impact of recurrent activity from external visual input. We found that the spatial arrangement and the visual feature preference of the stimulated ensemble and the neighboring neurons jointly determine the net effect of recurrent activity. Photoactivation of these ensembles drives suppression in all cells beyond 30 µm but uniformly drives activation in closer similarly tuned cells. In nonsimilarly tuned cells, compact, cotuned ensembles drive net suppression, while diffuse, cotuned ensembles drive activation. Computational modeling suggests that highly local recurrent excitatory connectivity and selective convergence onto inhibitory neurons explain these effects. Our findings reveal a straightforward logic in which space and feature preference of cortical ensembles determine their impact on local recurrent activity. Using two-photon (2P) optogenetics and computational modeling, the authors find that neither space-based nor feature-based rules are sufficient to describe cell–cell interactions within the primary visual cortex (V1). Instead, models must include interactions between these cardinal axes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2024
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