Author
Listed:
- Aaron T. Kuan
(Harvard Medical School
Yale School of Medicine)
- Giulio Bondanelli
(Istituto Italiano di Tecnologia
University Medical Center Hamburg-Eppendorf (UKE))
- Laura N. Driscoll
(Harvard Medical School
Allen Institute)
- Julie Han
(Harvard Medical School
Northeastern University)
- Minsu Kim
(Harvard Medical School)
- David G. C. Hildebrand
(Harvard Medical School
The Rockefeller University)
- Brett J. Graham
(Harvard Medical School
Space Telescope Science Institute)
- Daniel E. Wilson
(Harvard Medical School)
- Logan A. Thomas
(Harvard Medical School
University of California Berkeley)
- Stefano Panzeri
(Istituto Italiano di Tecnologia
University Medical Center Hamburg-Eppendorf (UKE))
- Christopher D. Harvey
(Harvard Medical School)
- Wei-Chung Allen Lee
(Harvard Medical School
Boston Children’s Hospital)
Abstract
The posterior parietal cortex exhibits choice-selective activity during perceptual decision-making tasks1–10. However, it is not known how this selective activity arises from the underlying synaptic connectivity. Here we combined virtual-reality behaviour, two-photon calcium imaging, high-throughput electron microscopy and circuit modelling to analyse how synaptic connectivity between neurons in the posterior parietal cortex relates to their selective activity. We found that excitatory pyramidal neurons preferentially target inhibitory interneurons with the same selectivity. In turn, inhibitory interneurons preferentially target pyramidal neurons with opposite selectivity, forming an opponent inhibition motif. This motif was present even between neurons with activity peaks in different task epochs. We developed neural-circuit models of the computations performed by these motifs, and found that opponent inhibition between neural populations with opposite selectivity amplifies selective inputs, thereby improving the encoding of trial-type information. The models also predict that opponent inhibition between neurons with activity peaks in different task epochs contributes to creating choice-specific sequential activity. These results provide evidence for how synaptic connectivity in cortical circuits supports a learned decision-making task.
Suggested Citation
Aaron T. Kuan & Giulio Bondanelli & Laura N. Driscoll & Julie Han & Minsu Kim & David G. C. Hildebrand & Brett J. Graham & Daniel E. Wilson & Logan A. Thomas & Stefano Panzeri & Christopher D. Harvey , 2024.
"Synaptic wiring motifs in posterior parietal cortex support decision-making,"
Nature, Nature, vol. 627(8003), pages 367-373, March.
Handle:
RePEc:nat:nature:v:627:y:2024:i:8003:d:10.1038_s41586-024-07088-7
DOI: 10.1038/s41586-024-07088-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
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:627:y:2024:i:8003:d:10.1038_s41586-024-07088-7. 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.