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味觉神经反应中的跨单元模式:向量空间分析。

Across unit patterns in the neural response to taste: vector space analysis.

作者信息

Di Lorenzo P M

机构信息

Department of Psychology, State University of New York, Binghamton 13901.

出版信息

J Neurophysiol. 1989 Oct;62(4):823-33. doi: 10.1152/jn.1989.62.4.823.

Abstract
  1. In the study of the neural code for gustation, it has been suggested that the pattern of responsiveness across fibers or units in the neural pathway for taste may provide the basis for identification and discrimination among taste qualities. Two possible mechanisms of comparison between pairs of stimuli were discussed, as follows: 1) a labeled-line code, where one subset of units responds to one stimulus but not the other, and a second subset of units responds in just the opposite fashion; and 2) a frequency code, where all units always respond well to one stimulus and always respond poorly to the other. 2. Conventional analyses of across unit patterns of response in the taste system have employed the Pearson product-moment correlation and/or the neural mass difference as measures of similarity. These measures consider the relative firing rates for a given pair of stimuli (correlation) or the averaged absolute differences in the firing rates (neural mass difference) evoked by two stimuli. Neither of these metrics considers both the absolute and the relative strengths of response to a given pair of stimuli in the comparison of across unit patterns. 3. A new approach to the analysis of across unit patterns of response, called vector space analysis, was described. With this method, the responses to a given stimulus across units are viewed as a vector in n-dimensional space, where n is the number of units in the sample. The length of each vector provides an index of the overall strength of the response to a particular tastant, and the angle between two vectors is a measure of the similarity of the across unit patterns for a given pair of tastants. 4. A neural discrimination (delta, delta) was derived from this approach as a measure of the similarity of two vectors that incorporates information about both the overall magnitude of response and the distribution of responses across units for a given pair of of stimuli. A labeled line index (lambda, lambda) was also proposed to indicate the extent to which the discrimination between two stimuli may be encoded by the responses in two separate subsets of units. 5. Electrophysiological responses to representatives of the four basic taste qualities (salty, sour, sweet, and bitter) were recorded in 47 single units located in the parabrachial nucleus of the pons (PbN) of the rat. Conventional and vector space analyses were applied to the across unit patterns that were recorded from these units. Multidimensional scaling techniques were used to compare the results of each analysis.(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 在味觉神经编码的研究中,有人提出,味觉神经通路中各纤维或单元的反应模式可能为味觉品质的识别和区分提供基础。讨论了两种刺激对之间可能的比较机制,如下:1)标记线编码,其中一个单元子集对一种刺激有反应而对另一种无反应,另一个单元子集则以相反方式反应;2)频率编码,其中所有单元对一种刺激总是反应良好而对另一种总是反应不佳。2. 味觉系统中对单元反应模式的传统分析采用皮尔逊积矩相关和/或神经质量差异作为相似性度量。这些度量考虑给定刺激对的相对发放率(相关性)或两种刺激诱发的发放率的平均绝对差异(神经质量差异)。在跨单元模式比较中,这些度量均未同时考虑对给定刺激对反应的绝对强度和相对强度。3. 描述了一种分析跨单元反应模式的新方法,称为向量空间分析。用这种方法,将各单元对给定刺激的反应视为n维空间中的一个向量,其中n是样本中的单元数量。每个向量的长度提供了对特定味觉剂反应总体强度的指标,两个向量之间的夹角是给定味觉剂对跨单元模式相似性的度量。4. 从这种方法得出一种神经辨别(δ,δ),作为两个向量相似性的度量,它纳入了关于给定刺激对反应的总体幅度和跨单元反应分布的信息。还提出了一个标记线指数(λ,λ),以表明两种刺激之间的辨别在两个独立单元子集中的反应编码程度。5. 在位于大鼠脑桥臂旁核(PbN)的47个单个单元中记录了对四种基本味觉品质(咸、酸、甜、苦)代表物的电生理反应。对从这些单元记录的跨单元模式应用了传统分析和向量空间分析。使用多维标度技术比较每种分析的结果。(摘要截于400字)

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