Andrew S. Persichetti
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1
Total Citations
72
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About
Andrew S. Persichetti is a cognitive neuroscientist whose research centers on the neural underpinnings of spatial perception and scene understanding. His work has been instrumental in characterizing how the human brain processes visual scenes, with a particular focus on scene-selective cortical regions. In his highly cited 2016 paper, "Perceived egocentric distance sensitivity and invariance across scene-selective cortex," Persichetti demonstrated that distinct areas of the scene-selective cortex are differentially sensitive to egocentric distance—the distance between the observer and objects in a scene—while maintaining invariance to other visual features. This finding has been pivotal in advancing models of spatial cognition, revealing a functional organization within the scene-processing network that supports both navigation and object recognition. With over 70 citations, this work has influenced subsequent studies on visual perception, memory, and spatial reasoning. Persichetti’s contributions continue to shape our understanding of how the brain constructs a coherent representation of the world around us, making his research essential reading for students and scholars in cognitive neuroscience and visual perception.
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