← All projects
Jan 2024 – Mar 2024 · Georgia Institute of Technology
Brain Region Classification
Research Project (Coursework)
Computational vision neuroscience research utilizing Murty Lab's virtual Ventral Temporal Cortex (vVTC) AI model to identify and characterize brain region selectivity. Systematically tested three visual processing regions using diverse stimulus categories to understand neural response patterns and model limitations.
Key Contributions
- Successfully identified and classified three brain regions (FFA, EBA, PPA) using AI-based predictive model achieving high accuracy across 55+ test stimuli
- Investigated pareidolia effects by testing face-like objects, revealing model limitations in processing optical illusions compared to biological neural responses
- Discovered region-specific selectivity patterns: FFA preference for conventionally attractive facial features, EBA heightened response to human digits, PPA selectivity for tree-containing landscapes
- Identified edge cases that 'fool' each region, providing insights into computational differences between artificial models and biological visual processing systems
ResearchComputer Vision