INFORMATION IN AUDITORY PATTERNS

提出了一种新的研究信息处理的方法论 听力正常的听者的复杂的听觉模式。在这个过程中， 每个听觉模式代表随机选择的值样本 一些声学参数。例如，在一个简单的例子中，模式可能 是具有随机选择的频率的音调序列。监听程序任务 是根据平均值来区分目标和非目标模式 采样参数的值之间的差异。根据定义， 与图案中的随机变化相关的不确定性是 信息。监听程序必须处理此信息，以便 进行样本甄别。样品辨别实验是 提出了针对各种听觉模式的日益复杂化。 听众的表现是相对于理论理想表现出来的。 观察者允许跨实验进行比较。此外，逐一审判 建议进行分析，以提供对特定假设的测试 听众在这些模式中利用信息。这些研究的结果 分析将允许回答有关检测和 复杂听觉模式的辨别受信息的影响 处理能力、信息权重和干扰都在 以及整个刺激计划的维度。作为该项目的长期目标， 实验结果将被用来开发一个计算模型 确定如何最好地将声学信息打包成模式，以便 以最大限度地传递信息。

A new methodology is proposed to investigate information processing of complex, auditory patterns by normal-hearing listeners. In this procedure, each auditory pattern represents a randomly selected sample of values of some acoustic parameter. In a simple case, for example, the patterns might be tone sequences with randomly selected frequencies. The listeners task is to discriminate target from nontarget patterns based on a average difference in the values of the sampled parameter. By definition, the uncertainty associated with the random variation in patterns is a source of information. The listener must process this information in order to perform the sample-discrimination. Sample-discrimination experiments are proposed for a variety of auditory patterns of increasing complexity. Listener performance is expressed relative to that of a theoretical ideal observer to permit comparisons across experiments. Also, trial-by-trial analyses are proposed to provide tests of specific hypotheses regarding how listeners utilize the information in these patterns. The results of these analyses will allow answers to questions regarding how the detection and discrimination of complex auditory patterns is affected by information processing capacity, information weighting, and interference both within and across stimulus dimensions. As a long term goal of the project, experimental results will be used to develop a computational model for determining how best to package the acoustic information in patterns so as to maximize information transmission.