Beyond-local neural information processing in neuronal networks.

ABSTRACT: While there is much knowledge about local neuronal circuitry, considerably less is known about how neuronal input is integrated and combined across neuronal networks to encode higher order brain functions. One challenge lies in the large number of complex neural interactions. Neural networks use oscillating activity for information exchange between distributed nodes. To better understand building principles underlying the observation of synchronized oscillatory activity in a large-scale network, we developed a reductionistic neuronal network model. Fundamental building principles are laterally and temporally interconnected virtual nodes (microcircuits), wherein each node was modeled as a local oscillator. By this building principle, the neuronal network model can integrate information in t

SUBMITTER: Balkenhol J 

PROVIDER: S-EPMC11647244 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature