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https://hdl.handle.net/10356/142104
Title: | Top-down control : a unified principle of cortical learning | Authors: | Makino, Hiroshi | Keywords: | Science::Medicine | Issue Date: | 2019 | Source: | Makino, H. (2019). Top-down control : a unified principle of cortical learning. Neuroscience research, 141, 23-28. doi:10.1016/j.neures.2018.08.004 | Journal: | Neuroscience research | Abstract: | Cognitive control of the brain flexibly maps incoming sensory information onto execution of actions appropriate for the current goal. Learning is a process that enables the brain to estimate current states of the world by extracting its spatiotemporal structure and generate goal-directed motor outputs through selective association of events or movement refinement. Accumulating evidence suggests that top-down control from higher-order brain areas modulates downstream neural activity and changes local computations that are critical for the execution of learned behavior. Recent technological advances in multi-site recordings and optogenetic approaches are beginning to reveal more direct evidence of top-down cognitive control by monitoring and perturbing activity of top-down inputs and observing its causal consequences on behavior and downstream neural dynamics. Here I highlight that learning-related changes in neural circuits in distinct domains of learning converge onto a unified principle; namely recruitment of top-down control whether it involves sensory, motor or offline learning. Recruitment of top-down control may reflect experience-dependent adaptation and integration of internal models for refined state estimation and goal-directed optimal behavior. | URI: | https://hdl.handle.net/10356/142104 | ISSN: | 0168-0102 | DOI: | 10.1016/j.neures.2018.08.004 | Schools: | Lee Kong Chian School of Medicine (LKCMedicine) | Rights: | © 2018 Elsevier B.V. and Japan Neuroscience Society. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | LKCMedicine Journal Articles |
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