Angelica Godinez
Papers
1
Total Citations
2
H-Index
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About
Dr. Angelica Godinez is a pioneering researcher at the intersection of computational neuroscience, robotics, and human vision. Her work explores how algorithmic principles from artificial systems can illuminate the hidden mechanisms of biological perception. In her most notable study, she tested the hypothesis that an information processing pattern from robotics—termed Active InterCONnect (AICON)—could serve as a powerful representation for decoding human visual processing. By developing AICON-based computational models for visual illusions such as the shape-contingent color aftereffect, she demonstrated that robotic algorithms can predict previously unknown properties of the human visual system. This cross-disciplinary contribution bridges robotics and cognitive science, offering a novel framework for understanding perception. Though early in her career, her work has already garnered attention for its originality and potential to reshape how we model neural processing. Dr. Godinez’s research stands at the frontier of bio-inspired computing and perceptual psychology, promising to deepen our understanding of both artificial and biological intelligence.
Research Focus
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Top Papers
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