Raquel Guerreiro de Sousa
Papers
1
Total Citations
5
H-Index
1
About
Raquel Guerreiro de Sousa is a neuroscientist whose work bridges computational modeling and visual perception, with a primary focus on how the brain decodes facial expressions. Her most cited paper, "Recognition of Facial Expressions by Cortical Multi-scale Line and Edge Coding" (2010), has garnered 5 citations and introduces a biologically inspired framework that simulates how the visual cortex processes emotional cues through hierarchical line and edge detection. This contribution underscores her expertise in cortical computation, offering a mechanistic understanding of how neural circuits integrate spatial and frequency information to recognize subtle emotional states. While her citation count reflects a niche but foundational impact, her research holds promise for advancing fields like affective computing and neuroprosthetics. By translating neural coding principles into algorithmic models, Guerreiro de Sousa provides a critical bridge between low-level visual processing and high-level social cognition—a step toward machines that can perceive emotion as intuitively as humans do. Her work invites further exploration into the neural substrates of social interaction.
Research Focus
Key Achievements
Top Papers
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