Year: 2018
Type: article
Abstract: Neuroimaging studies of object and action representation often use controlled stimuli and implicitly assume that the relevant neural representational spaces are fixed and context-invariant. Here we present functional MRI data measured while participants freely viewed brief naturalistic video clips of behaving animals in two different task contexts. Participants performed a 1-back category repetition detection task requiring them to attend to either animal taxonomy or animal behavior. The data and analysis code are freely available, and have been curated according to the Brain Imaging Data Structure (BIDS) standard. We thoroughly describe the data, provide quality control metrics, and perform a searchlight classification analysis to demonstrate the potential utility of the data. These data are intended to provide a test bed for investigating how task demands alter the neural representation of complex stimuli and their semantic qualities.
Source: Frontiers in Neuroscience
Institutions: Dartmouth College, Princeton University, University of Bologna
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: A similarity-based approach for decoding the human object recognition pathway, CRCNS: Collaborative Research: A Common Model of the Functional Architecture of Human Cortex, Analysis of Multi-Voxel Patterns of Activity in fMRI data, G3229753208, U.S.-German Collaboration: Building common high-dimensional models of neural representational spaces, G3816074274, G4911066707, G6961739211, G9000271836
OpenAlex ID: W2953135365