Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells.

ABSTRACT: Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory. Computer models are widespread in neuroscience, where they are used to mimic brain function at different levels. These models offer a variety of new possibilities for the neuroscientist, but also numerous challenges, such as: where to sample the input space for the simulator, how to make sense of the data that is generated, and how to estimate unknown parameters in the model. Statistical emulation can be a valuable complement to simulator-based research. Emulators are able to mimic the simulator, often with a much smaller computational

SUBMITTER: Shapira G 

PROVIDER: S-EPMC8992430 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature