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听觉皮层神经元对信号位置和竞争性噪声源的敏感性。

Sensitivity of auditory cortical neurons to locations of signals and competing noise sources.

作者信息

Furukawa S, Middlebrooks J C

机构信息

Kresge Hearing Research Institute, University of Michigan, Ann Arbor, Michigan 48109-0506, USA.

出版信息

J Neurophysiol. 2001 Jul;86(1):226-40. doi: 10.1152/jn.2001.86.1.226.

Abstract

The present study examined cortical parallels to psychophysical signal detection and sound localization in the presence of background noise. The activity of single units or of small clusters of units was recorded in cortical area A2 of chloralose-anesthetized cats. Signals were 80-ms click trains that varied in location in the horizontal plane around the animal. Maskers were continuous broadband noises. In the focal masker condition, a single masker source was tested at various azimuths. In the diffuse masker condition, uncorrelated noise was presented from two speakers at +/-90 degrees lateral to the animal. For about 2/3 of units ("type A"), the presence of the masker generally reduced neural sensitivity to signals, and the effects of the masker depended on the relative locations of signal and masker sources. For the remaining 1/3 of units ("type B"), the masker reduced spike rates at low signal levels but often augmented spike rates at higher signal levels. Increases in spike rates of type B units were most common for signal sources in front of the ear contralateral to the recording site but tended to be independent of masker source location. For type A units, masker effects could be modeled as a shift toward higher levels of spike-rate- and spike-latency-versus-level functions. For a focal masker, the shift size decreased with increasing separation of signal and masker. That result resembled psychophysical spatial unmasking, i.e., improved signal detection by spatial separation of the signal from the noise source. For the diffuse masker condition, the shift size generally was constant across signal locations. For type A units, we examined the effects of maskers on cortical signaling of sound-source location, using an artificial-neural-network (ANN) algorithm. First, an ANN was trained to estimate the signal location in the quiet condition by recognizing the spike patterns of single units. Then we tested ANN responses for spike patterns recorded under various masker conditions. Addition of a masker generally altered spike patterns and disrupted ANN identification of signal location. That disruption was smaller, however, for signal and masker configurations in which the masker did not severely reduce units' spike rates. That result compared well with the psychophysical observation that listeners maintain good localization performance as long as signals are clearly audible.

摘要

本研究考察了在存在背景噪声的情况下,与心理物理学信号检测和声音定位相对应的皮层情况。在水合氯醛麻醉的猫的皮层A2区域记录单个神经元或小群神经元的活动。信号为80毫秒的短声序列,其在动物周围水平面的位置有所变化。掩蔽声为连续的宽带噪声。在聚焦掩蔽声条件下,在不同方位测试单个掩蔽声源。在扩散掩蔽声条件下,从不相关的两个扬声器向动物两侧±90度呈现噪声。对于约2/3的神经元(“A型”),掩蔽声的存在通常会降低神经元对信号的敏感性,且掩蔽声的影响取决于信号源和掩蔽声源的相对位置。对于其余1/3的神经元(“B型”),掩蔽声在低信号水平时降低放电率,但在较高信号水平时往往会提高放电率。B型神经元放电率的增加在记录部位对侧耳前方的信号源最为常见,但往往与掩蔽声源位置无关。对于A型神经元,掩蔽声的影响可以建模为向更高水平的放电率-放电潜伏期与水平函数的转变。对于聚焦掩蔽声,随着信号与掩蔽声分离距离的增加,转变幅度减小。该结果类似于心理物理学空间解掩蔽,即通过将信号与噪声源空间分离来改善信号检测。对于扩散掩蔽声条件,转变幅度在信号位置上通常是恒定的。对于A型神经元,我们使用人工神经网络(ANN)算法研究了掩蔽声对声源位置皮层信号传导的影响。首先,训练一个人工神经网络,通过识别单个神经元的放电模式来估计安静条件下的信号位置。然后我们测试了在各种掩蔽声条件下记录的放电模式的人工神经网络反应。添加掩蔽声通常会改变放电模式并干扰人工神经网络对信号位置的识别。然而,对于掩蔽声不会严重降低神经元放电率的信号和掩蔽声配置,这种干扰较小。该结果与心理物理学观察结果相符,即只要信号清晰可闻,听众就能保持良好的定位性能。

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