A comprehensive data-driven model of cat primary visual cortex.

ABSTRACT: Knowledge integration based on the relationship between structure and function of the neural substrate is one of the main targets of neuroinformatics and data-driven computational modeling. However, the multiplicity of data sources, the diversity of benchmarks, the mixing of observables of different natures, and the necessity of a long-term, systematic approach make such a task challenging. Here we present a first snapshot of a long-term integrative modeling program designed to address this issue in the domain of the visual system: a comprehensive spiking model of cat primary visual cortex. The presented model satisfies an extensive range of anatomical, statistical and functional constraints under a wide range of visual input statistics. In the presence of physiological levels of tonic sto

SUBMITTER: Antolik J 

PROVIDER: S-EPMC11371232 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature