@article{TEXTUAL,
      recid = {12910},
      author = {Negrón, Alex and Getz, Matthew P. and Handy, Gregory and  Doiron, Brent},
      title = {The mechanics of correlated variability in segregated  cortical excitatory subnetworks},
      journal = {PNAS},
      address = {2024-07-03},
      number = {TEXTUAL},
      abstract = {Understanding the genesis of shared trial-to-trial  variability in neuronal population activity within the  sensory cortex is critical to uncovering the biological  basis of information processing in the brain. Shared  variability is often a reflection of the structure of  cortical connectivity since it likely arises, in part, from  local circuit inputs. A series of experiments from  segregated networks of (excitatory) pyramidal neurons in  the mouse primary visual cortex challenge this view.  Specifically, the across-network correlations were found to  be larger than predicted given the known weak cross-network  connectivity. We aim to uncover the circuit mechanisms  responsible for these enhanced correlations through  biologically motivated cortical circuit models. Our central  finding is that coupling each excitatory subpopulation with  a specific inhibitory subpopulation provides the most  robust network-intrinsic solution in shaping these enhanced  correlations. This result argues for the existence of  excitatory–inhibitory functional assemblies in early  sensory areas which mirror not just response properties but  also connectivity between pyramidal cells. Furthermore, our  findings provide theoretical support for recent  experimental observations showing that cortical inhibition  forms structural and functional subnetworks with excitatory  cells, in contrast to the classical view that inhibition is  a nonspecific blanket suppression of local excitation.},
      url = {http://knowledge.uchicago.edu/record/12910},
}