Cellular connectomes as arbiters of local circuit models in the cerebral cortex.

ABSTRACT: With the availability of cellular-resolution connectivity maps, connectomes, from the mammalian nervous system, it is in question how informative such massive connectomic data can be for the distinction of local circuit models in the mammalian cerebral cortex. Here, we investigated whether cellular-resolution connectomic data can in principle allow model discrimination for local circuit modules in layer 4 of mouse primary somatosensory cortex. We used approximate Bayesian model selection based on a set of simple connectome statistics to compute the posterior probability over proposed models given a to-be-measured connectome. We find that the distinction of the investigated local cortical models is faithfully possible based on purely structural connectomic data with an accuracy of more than

SUBMITTER: Klinger E 

PROVIDER: S-EPMC8119988 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature