Published in

American Association for the Advancement of Science, Science, 6585(375), 2022

DOI: 10.1126/science.abj5861

Links

Tools

Export citation

Search in Google Scholar

Local connectivity and synaptic dynamics in mouse and human neocortex

Journal article published in 2022 by Luke Campagnola ORCID, Stephanie C. Seeman ORCID, Thomas Chartrand ORCID, Lisa Kim ORCID, Alex Hoggarth ORCID, Clare Gamlin ORCID, Shinya Ito ORCID, Jessica Trinh ORCID, Pasha Davoudian ORCID, Cristina Radaelli, Mean-Hwan Kim ORCID, Travis Hage ORCID, Thomas Braun ORCID, Lauren Alfiler ORCID, Julia Andrade and other authors.
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Synaptic properties are heterogeneous in most subclass-to-subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass. In the human cortex, excitatory-to-excitatory synaptic dynamics are distinct from those in the mouse cortex and vary with depth across layers 2 and 3.