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Titolo:
Regional variations of noise-induced changes in operating range in cat AI
Autore:
Ehret, G; Schreiner, CE;
Indirizzi:
Univ Ulm, Dept Neurobiol, D-89069 Ulm, Germany Univ Ulm Ulm Germany D-89069 v Ulm, Dept Neurobiol, D-89069 Ulm, Germany Univ Calif San Francisco, WN Keck Ctr Integrat Neurosci, Coleman Lab, San Francisco, CA 94143 USA Univ Calif San Francisco San Francisco CA USA 94143 ancisco, CA 94143 USA
Titolo Testata:
HEARING RESEARCH
fascicolo: 1-2, volume: 141, anno: 2000,
pagine: 107 - 116
SICI:
0378-5955(200003)141:1-2<107:RVONCI>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
PRIMARY AUDITORY-CORTEX; MULTIPLE-NEURON RECORDINGS; DORSAL COCHLEAR NUCLEUS; FUNCTIONAL TOPOGRAPHY; TONE INTENSITY; SINGLE UNITS; FREQUENCY RESOLUTION; SPECTRAL INTEGRATION; INFERIOR COLLICULUS; CORTICAL-NEURONS;
Keywords:
auditory cortex; dynamic range; noise masking; response mapping;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
41
Recensione:
Indirizzi per estratti:
Indirizzo: Ehret, G Univ Ulm, Dept Neurobiol, D-89069 Ulm, Germany Univ Ulm Ulm Germany D-89069 pt Neurobiol, D-89069 Ulm, Germany
Citazione:
G. Ehret e C.E. Schreiner, "Regional variations of noise-induced changes in operating range in cat AI", HEARING RES, 141(1-2), 2000, pp. 107-116

Abstract

Regional differences in spectral integration of neurons in cat primary auditory cortex (AI) suggest that regions differ in effects of background noise on operating characteristics of neurons. Therefore, tone-response threshold, best level (peak-rate intensity), dynamic range, and sharpness of tuning in quiet and in continuous broadband noise were mapped for single neuronsalong the isofrequency domain of AI. Neurons did not show an excitatory response to the noise. Noise invariably increased the tone-response thresholdand best levels. Consequently, the dynamic ranges and receptive fields shifted to higher intensity levels without changes of average sharpness of tuning. These shifts were linearly related to noise level and showed little inter-neuronal variability for neurons in the central, mostly sharply tuned part of AI. In more dorsal and ventral parts of AI, neurons were more variable in lone-response threshold, dynamic range and best level, and no systematic relationship between increase in noise level, threshold increase and best-level increase was observed. We conclude that linear shifts in the operating range of neurons in central AI in the presence of continuous noise backgrounds do not affect other response properties and may relate to the unaltered analysis and representation of spectral components of sounds. In contrast, neurons in dorsal and ventral AI change response properties in a non-predictable way in the presence of noise in accordance with the more complex receptive field properties in those areas. (C) 2000 Elsevier Science B.V. All rights reserved.

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Documento generato il 02/12/20 alle ore 05:38:18