Keller Clifford H, Takahashi Terry T
Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403, USA.
J Neurosci. 2005 Nov 9;25(45):10446-61. doi: 10.1523/JNEUROSCI.2093-05.2005.
In nature, sounds from multiple sources sum at the eardrums, generating complex cues for sound localization and identification. In this clutter, the auditory system must determine "what is where." We examined this process in the auditory space map of the barn owl's (Tyto alba) inferior colliculus using two spatially separated sources simultaneously emitting uncorrelated noise bursts, which were uniquely identified by different frequencies of sinusoidal amplitude modulation. Spatial response profiles of isolated neurons were constructed by testing the source-pair centered at various locations in virtual auditory space. The neurons responded whenever a source was placed within the receptive field, generating two clearly segregated foci of activity at appropriate loci. The spike trains were locked strongly to the amplitude modulation of the source within the receptive field, whereas the other source had minimal influence. Two sources amplitude modulated at the same rate were resolved successfully, suggesting that source separation is based on differences of fine structure. The spike rate and synchrony were stronger for whichever source had the stronger average binaural level. A computational model showed that neuronal activity was primarily proportional to the degree of matching between the momentary binaural cues and the preferred values of the neuron. The model showed that individual neurons respond to and synchronize with sources in their receptive field if there are frequencies having an average binaural-level advantage over a second source. Frequencies with interaural phase differences that are shared by both sources may also evoke activity, which may be synchronized with the amplitude modulations from either source.
在自然界中,来自多个声源的声音在鼓膜处叠加,产生用于声音定位和识别的复杂线索。在这种复杂环境中,听觉系统必须确定“什么声音在什么位置”。我们利用两个空间分离的声源同时发出不相关的噪声脉冲,在仓鸮(Tyto alba)下丘的听觉空间图谱中研究了这一过程,这些噪声脉冲通过不同频率的正弦幅度调制进行唯一识别。通过测试以虚拟听觉空间中各个位置为中心的声源对,构建了单个神经元的空间响应曲线。每当声源置于感受野内时,神经元就会做出反应,在适当位置产生两个明显分离的活动焦点。脉冲序列与感受野内声源的幅度调制紧密锁定,而另一个声源的影响最小。以相同速率进行幅度调制的两个声源能够成功分辨,这表明声源分离是基于精细结构的差异。对于平均双耳声级较强的声源,脉冲发放率和同步性更强。一个计算模型表明,神经元活动主要与瞬时双耳线索和神经元偏好值之间的匹配程度成正比。该模型表明,如果存在某些频率在平均双耳声级上比第二个声源具有优势,那么单个神经元会对其感受野内的声源做出反应并与之同步。两个声源共有的耳间相位差的频率也可能引发活动,这种活动可能与来自任一声源的幅度调制同步。