title: Cortical network architecture for context processing in primate brain.
abstract: Context is information linked to a situation that can guide behavior. In the brain, context is encoded by sensory processing and can later be retrieved from memory. How context is communicated within the cortical network in sensory and mnemonic forms is unknown due to the lack of methods for high-resolution, brain-wide neuronal recording and analysis. Here, we report the comprehensive architecture of a cortical network for context processing. Using hemisphere-wide, high-density electrocorticography, we measured large-scale neuronal activity from monkeys observing videos of agents interacting in situations with different contexts. We extracted five context-related network structures including a bottom-up network during encoding and, seconds later, cue-dependent retrieval of the same network with the opposite top-down connectivity. These findings show that context is represented in the cortical network as distributed communication structures with dynamic information flows. This study provides a general methodology for recording and analyzing cortical network neuronal communication during cognition.
authors.affiliation: Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako-shi, Japan.
authors.forename: Zenas C
authors.initials: ZC
authors.lastname: Chao
authors.affiliation: Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako-shi, Japan.
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Nagasaka
authors.affiliation: Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako-shi, Japan.
authors.forename: Naotaka
authors.initials: N
authors.lastname: Fujii
mesh_terms: D000818:Animals; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D003071:Cognition; D000069280:Electrocorticography; D000882:Haplorhini; D008568:Memory; D009415:Nerve Net / Q000502:physiology*; D010465:Perception; D010775:Photic Stimulation
keywords: cognitive context; connectivity; electrocorticography; macaque; mesoscopic networks; neuronal interactions; neuroscience