title: Fitting perception in and to cognition.
abstract: Perceptual modules adapt at evolutionary, lifelong, and moment-to-moment temporal scales to better serve the informational needs of cognizers. Perceptual learning is a powerful way for an individual to become tuned to frequently recurring patterns in its specific local environment that are pertinent to its goals without requiring costly executive control resources to be deployed. Mechanisms like predictive coding, categorical perception, and action-informed vision allow our perceptual systems to interface well with cognition by generating perceptual outputs that are systematically guided by how they will be used. In classic conceptions of perceptual modules, people have access to the modules' outputs but no ability to adjust their internal workings. However, humans routinely and strategically alter their perceptual systems via training regimes that have predictable and specific outcomes. In fact, employing a combination of strategic and automatic devices for adapting perception is one of the most promising approaches to improving cognition.
authors.affiliation: Indiana University, Department of Psychological and Brain Sciences, Program in Cognitive Science, 1101 E. 10th Street, Bloomington, IN 47405, United States. Electronic address: rgoldsto@indiana.edu.
authors.forename: Robert L
authors.initials: RL
authors.lastname: Goldstone
authors.affiliation: Indiana University, Department of Psychological and Brain Sciences, Program in Cognitive Science, 1101 E. 10th Street, Bloomington, IN 47405, United States.
authors.forename: Joshua R
authors.initials: JR
authors.lastname: de Leeuw
authors.affiliation: Indiana University, Department of Psychological and Brain Sciences, Program in Cognitive Science, 1101 E. 10th Street, Bloomington, IN 47405, United States.
authors.forename: David H
authors.initials: DH
authors.lastname: Landy
mesh_terms: D000223:Adaptation, Psychological; D003071:Cognition; D006801:Humans; D007858:Learning; D010465:Perception
keywords: Categorical perception; Cognition; Cognitive penetrability; Modularity; Perception; Perceptual learning