Neural basis of hearing in real-world situations |
Author(s):
Journal/Book: Annu Rev Psychol. 2000; 51: 4139 El Camino Way, PO Box 10139, Palo Alto, CA 94303-0139, USA. Annual Reviews Inc. 699-725.
Abstract: In real-world situations animals are exposed to multiple sound sources originating from different locations. Most vertebrates have little difficulty in attending to selected sounds in the presence of distracters, even though sounds may overlap in time and frequency. This chapter selectively reviews behavioral and physiological data relevant to hearing in complex auditory environments. Behavioral data suggest that animals use spatial hearing and integrate information in spectral and temporal domains to determine sound source identity. Additionally, attentional mechanisms help improve hearing performance when distracters are present. On the physiological side, although little is known of where and how auditory objects are created in the brain, studies show that neurons extract behaviorally important features in parallel hierarchically arranged pathways. At the highest levels in the pathway these features are often represented in the form of neural maps. Further, it is now recognized that descending auditory pathways can modulate information processing in the ascending pathway, leading to improvements in signal detectability and response selectivity, perhaps even mediating attention. These issues and their relevance to hearing in real-world conditions are discussed with respect to several model systems for which both behavioral and physiological data are available.
Note: Review Feng AS, Univ Illinois, Dept Mol & Integrat Physiol, Urbana,IL 61801 USA
Keyword(s): multisource sounds; neuroethology; sound localization; sound pattern recognition; COMBINATION-SENSITIVE NEURONS; MEDIAL GENICULATE-BODY; STARLINGS STURNUS-VULGARIS; AUDITORY SCENE ANALYSIS; TREEFROG HYLA-CINEREA; COMODULATION MASKING RELEASE; EVOKED OTOACOUSTIC EMISSIONS; FROG ELEUTHERODACTYLUS-COQUI; CROSSED OLIVOCOCHLEAR BUNDLE; TEMPORAL DISCHARGE PATTERNS
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