Sensory processing during viewing of cinematographic material: computational modeling and functional neuroimaging.

ABSTRACT: The investigation of brain activity using naturalistic, ecologically-valid stimuli is becoming an important challenge for neuroscience research. Several approaches have been proposed, primarily relying on data-driven methods (e.g. independent component analysis, ICA). However, data-driven methods often require some post-hoc interpretation of the imaging results to draw inferences about the underlying sensory, motor or cognitive functions. Here, we propose using a biologically-plausible computational model to extract (multi-)sensory stimulus statistics that can be used for standard hypothesis-driven analyses (general linear model, GLM). We ran two separate fMRI experiments, which both involved subjects watching an episode of a TV-series. In Exp 1, we manipulated the presentation by switchin

SUBMITTER: Bordier C 

PROVIDER: S-EPMC3838951 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature