Information analysis of sound feature representation

描述（由申请人提供）：根据这项奖学金，我们建议使用信息理论技术来量化的信息流复杂的声刺激通过耳蜗核（CN）和中央核的下丘（ICC）的去脑猫。这些结构是通往皮层的听觉通路中的必经之路，每个结构都包含几种不同的反应类型，它们并行处理听觉信号。我们的假设是，这些不同的反应类型已经出现单独编码的各个方面的声音刺激。例如，一些响应类型可以是编码关于声压波的时间包络的信息，其他响应类型可以对声音的局部频谱结构敏感，并且还有其他响应类型可以涉及处理声音的位置。我们将测试各种反应类型的相对灵敏度的时间和频谱包络的声音与语音的特点，以及嵌入在耳间差异的位置线索。

DESCRIPTION (provided by applicant): Under this fellowship, we propose to use information theoretic techniques to quantify the flow of information about complex acoustic stimuli through the cochlear nucleus (CN) and the central nucleus of the inferior colliculus (ICC) of decerebrate cats. These structures are obligatory stops in the auditory pathway to the cortex, and each contains several different response types that process the auditory signal in parallel. Our hypothesis is that these different response types have arisen to encode separately the various aspects of acoustic stimuli. For example, some response types may be encoding information about the temporal envelope of the acoustic pressure wave, others may be sensitive to the local spectral structure of the sound, and still others may be involved in processing the sound's location. We will test the relative sensitivity of various response types to the temporal and spectral envelopes of sound with speech-like characteristics, as well as to location cues embedded in interaural differences.