Xu L, Furukawa S, Middlebrooks J C
Department of Neuroscience, University of Florida, Gainesville, Florida 32610, USA.
J Neurophysiol. 1998 Aug;80(2):882-94. doi: 10.1152/jn.1998.80.2.882.
We have demonstrated that the spike patterns of auditory cortical neurons carry information about sound-source location in azimuth. The question arises as to whether those units integrate the multiple acoustical cues that signal the location of a sound source or whether they merely demonstrate sensitivity to a specific parameter that covaries with sound-source azimuth, such as interaural level difference. We addressed that issue by testing the sensitivity of cortical neurons to sound locations in the median vertical plane, where interaural difference cues are negligible. Auditory unit responses were recorded from 14 alpha-chloralose-anesthetized cats. We studied 113 units in the anterior ectosylvian auditory area and 82 units in auditory area A2. Broadband noise stimuli were presented in an anechoic room from 14 locations in the vertical midline in 20 degrees steps, from 60 degrees below the front horizon, up and over the head, to 20 degrees below the rear horizon, as well as from 18 locations in the horizontal plane. The spike counts of most units showed fairly broad elevation tuning. An artificial neural network was used to recognize spike patterns, which contain both the number and timing of spikes, and thereby estimate the locations of sound sources in elevation. For each unit, the median error of neural-network estimates was used as a measure of the network performance. For all 195 units, the average of the median errors was 46.4 +/- 9.1 degrees (mean +/- SD), compared with the expectation of 65 degrees based on chance performance. To address the question of whether sensitivity to sound pressure level (SPL) alone might account for the modest sensitivity to elevation of neurons, we measured SPLs from the cat's ear canal and compared the neural elevation sensitivity with the acoustical data. In many instances, the artificial neural network discriminated stimulus elevations even when the free-field sound produced identical SPLs in the ear canal. Conversely, two stimuli at the same elevation could produce the same network estimate of elevation, even when we varied sound-source SPL over a 20-dB range. There was a significant correlation between the accuracy of network performance in azimuth and in elevation. Most units that localized well in elevation also localized well in azimuth. Because the principal acoustic cues for localization in elevation differ from those for localization in azimuth, that positive correlation suggests that individual cortical neurons can integrate multiple cues for sound-source location.
我们已经证明,听觉皮层神经元的放电模式携带有关声源方位角的信息。问题在于,这些神经元是整合了指示声源位置的多种声学线索,还是仅仅表现出对与声源方位角相关的特定参数(如耳间声级差)的敏感性。我们通过测试皮层神经元对中垂面内声源位置的敏感性来解决这个问题,在中垂面内耳间差异线索可忽略不计。从14只经α-氯醛糖麻醉的猫身上记录听觉单位反应。我们研究了前外侧听觉区的113个单位和A2听觉区的82个单位。在消声室中,从垂直中线的14个位置以20度步长呈现宽带噪声刺激,范围从正前方地平线以下60度,向上越过头顶,到后方地平线以下20度,以及从水平面的18个位置呈现。大多数单位的放电计数显示出相当宽的仰角调谐。使用人工神经网络识别放电模式,该模式包含放电的数量和时间,从而估计声源在仰角上的位置。对于每个单位,神经网络估计的中值误差用作网络性能的度量。对于所有195个单位,中值误差的平均值为46.4±9.1度(均值±标准差),而基于随机性能的预期值为65度。为了解决仅对声压级(SPL)的敏感性是否可能解释神经元对仰角的适度敏感性这一问题,我们测量了猫耳道处的声压级,并将神经仰角敏感性与声学数据进行比较。在许多情况下,即使自由场声音在耳道中产生相同的声压级,人工神经网络也能区分刺激的仰角。相反,即使我们将声源声压级在20分贝范围内变化,同一仰角的两个刺激也可能产生相同的网络仰角估计。在方位角和仰角上网络性能的准确性之间存在显著相关性。大多数在仰角上定位良好的单位在方位角上也定位良好。因为用于仰角定位的主要声学线索与用于方位角定位的不同,这种正相关表明单个皮层神经元可以整合声源位置的多种线索。