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Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
Published on: July 26, 2019
Auditory object perception: A neurobiological model and prospective review.
Julie A Brefczynski-Lewis1, James W Lewis1
1Blanchette Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26506, USA; Department of Physiology, Pharmacology, & Neuroscience, West Virginia University, PO Box 9229, Morgantown, WV 26506, USA.
This review proposes a neurobiological model for auditory perception, categorizing natural sounds to understand brain processing. This framework aids in studying auditory development, recovery, and evolution.
Area of Science:
- Neuroscience
- Auditory Perception
- Cognitive Science
Background:
- Human perception is multisensory, yet auditory processing remains less understood than vision.
- Auditory input is crucial for communication, emotion, and understanding others.
- Understanding auditory processing is key to studying its development, recovery, and evolutionary transitions.
Purpose of the Study:
- To present a fundamental neurobiological model of auditory perception at a category level.
- To integrate bottom-up signal processing with top-down grounded cognition.
- To provide a framework for understanding real-world sound processing in humans and other mammals.
Main Methods:
- Review of human neuroimaging literature.
- Development of a theoretical framework for auditory object categorization.
- Integration of principles from multisensory, sensory-motor, and spoken language cognitive architectures.
Main Results:
- A three-category model of sound sources: living action sounds (human/non-human), non-living action sounds (environmental/machinery), and vocalizations (human/non-human).
- The model highlights universal acoustic-semantic signal attributes of natural sounds.
- The framework is applicable across mammalian species with acoustic communication.
Conclusions:
- The proposed model offers insights into auditory system development, injury recovery, and evolutionary changes.
- It provides a basis for understanding the neurodevelopment of spoken language.
- The model emphasizes the organization of cortical networks around acoustic-semantic attributes.
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