title: Resonant Cholinergic Dynamics in Cognitive and Motor Decision-Making: Attention, Category Learning, and Choice in Neocortex, Superior Colliculus, and Optic Tectum.
abstract: Freely behaving organisms need to rapidly calibrate their perceptual, cognitive, and motor decisions based on continuously changing environmental conditions. These plastic changes include sharpening or broadening of cognitive and motor attention and learning to match the behavioral demands that are imposed by changing environmental statistics. This article proposes that a shared circuit design for such flexible decision-making is used in specific cognitive and motor circuits, and that both types of circuits use acetylcholine to modulate choice selectivity. Such task-sensitive control is proposed to control thalamocortical choice of the critical features that are cognitively attended and that are incorporated through learning into prototypes of visual recognition categories. A cholinergically-modulated process of vigilance control determines if a recognition category and its attended features are abstract (low vigilance) or concrete (high vigilance). Homologous neural mechanisms of cholinergic modulation are proposed to focus attention and learn a multimodal map within the deeper layers of superior colliculus. This map enables visual, auditory, and planned movement commands to compete for attention, leading to selection of a winning position that controls where the next saccadic eye movement will go. Such map learning may be viewed as a kind of attentive motor category learning. The article hereby explicates a link between attention, learning, and cholinergic modulation during decision making within both cognitive and motor systems. Homologs between the mammalian superior colliculus and the avian optic tectum lead to predictions about how multimodal map learning may occur in the mammalian and avian brain and how such learning may be modulated by acetycholine.
authors.affiliation: Graduate Program in Cognitive and Neural Systems, Boston UniversityBoston, MA, USA; Center for Adaptive Systems, Boston UniversityBoston, MA, USA; Departments of Mathematics, Psychology, and Biomedical Engineering, Boston UniversityBoston, MA, USA; Center for Computational Neuroscience and Neural Technology, Boston UniversityBoston, MA, USA.
authors.forename: Stephen
authors.initials: S
authors.lastname: Grossberg
authors.affiliation: Center for Computational Neuroscience and Neural Technology, Boston University Boston, MA, USA.
authors.forename: Jesse
authors.initials: J
authors.lastname: Palma
authors.affiliation: Graduate Program in Cognitive and Neural Systems, Boston UniversityBoston, MA, USA; Center for Computational Neuroscience and Neural Technology, Boston UniversityBoston, MA, USA.
authors.forename: Massimiliano
authors.initials: M
authors.lastname: Versace
keywords: acetylcholine; adaptive resonance theory; attention; category learning; optic tectum; saccadic eye movement; superior colliculus; vigilance
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