Volumetric 3

Volumetric 3 visualizes and analyzes 3D volumetric fMRI data to investigate neural representations of faces, bodies, and whole people across static and dynamic presentations.

Key Features:

• 3D Volumetric Visualization: Renders fMRI data into three-dimensional volumetric representations to explore neural activity patterns across brain regions involved in person processing.
• Pattern Classification Analysis: Implements pattern classification algorithms that distinguish neural responses to faces, bodies, and whole people and evaluates transfer between static and moving presentations.
• Activity Pattern vs. Response Magnitude: Separates contributions of spatially distributed activity patterns and response magnitudes, including analyses with and without magnitude-normalized scans.
• Cross-Modal Transfer Analysis: Assesses transfer of shape information across presentation types and examines relationships between dorsal and ventral visual processing streams.

Scientific Applications:

• Person perception: Investigates neural mechanisms of person perception by analyzing cortical representations of faces, bodies, and whole people.
• Static versus dynamic processing: Compares neural responses to static and dynamic stimuli to study coding flexibility and pattern transfer.
• Dorsal–ventral stream research: Explores access to common shape codes and functional divisions between dorsal and ventral visual processing streams.

Methodology:

Analysis of neural activity patterns from fMRI data using pattern classification algorithms that distinguish faces, bodies, and whole people, including classifiers that operate with or without magnitude-normalized scans and evaluations of transfer between static and moving presentations.