Feature Detection models are a type of cognitive theory that suggests the brain processes visual information by breaking it down into individual features such as lines, angles, and shapes.
Related terms
Gestalt principles: These principles explain how our brains organize visual information into meaningful wholes based on factors like proximity, similarity, closure, and continuity.
Top-down processing: It refers to when our prior knowledge and expectations influence how we perceive and interpret incoming sensory information.
Perceptual grouping: This term describes the process by which our brains naturally group individual elements together based on their proximity or similarity.