Neural Integration of Top-Down Spatial and Feature-Based Information in Visual Search

• Published in: The Journal of neuroscience Vol. 28; no. 24; pp. 6141 - 6151
• Main Authors: Egner, Tobias, Monti, Jim M. P, Trittschuh, Emily H, Wieneke, Christina A, Hirsch, Joy, Mesulam, M.-Marsel
• Format: Journal Article
• Language: English
• Published: United States Soc Neuroscience 11.06.2008; Society for Neuroscience
• Subjects: Adult; Analysis of Variance; Attention - physiology; Brain Mapping; Cues; Eye Movements - physiology; Female; Functional Laterality; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; Oxygen - blood; Pattern Recognition, Visual - physiology; Photic Stimulation - methods; Reaction Time - physiology; Space Perception - physiology; Visual Cortex - anatomy & histology; Visual Cortex - blood supply; Visual Cortex - physiology

Visual search is aided by previous knowledge regarding distinguishing features and probable locations of a sought-after target. However, how the human brain represents and integrates concurrent feature-based and spatial expectancies to guide visual search is currently not well understood. Specifical...