Circuit Models of Low-Dimensional Shared Variability in Cortical Networks.
Ontology highlight
ABSTRACT: Trial-to-trial variability is a reflection of the circuitry and cellular physiology that make up a neuronal network. A pervasive yet puzzling feature of cortical circuits is that despite their complex wiring, population-wide shared spiking variability is low dimensional. Previous model cortical networks cannot explain this global variability, and rather assume it is from external sources. We show that if the spatial and temporal scales of inhibitory coupling match known physiology, networks of model spiking neurons internally generate low-dimensional shared variability that captures population activity recorded in vivo. Shifting spatial attention into the receptive field of visual neurons has been shown to differentially modulate shared variability within and between brain areas. A top-dow
SUBMITTER: Huang C
PROVIDER: S-EPMC8238668 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA