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灵长类动物颞叶视觉皮层中刺激的神经元表征稀疏性。

Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex.

作者信息

Rolls E T, Tovee M J

机构信息

University of Oxford, Department of Experimental Psychology, England.

出版信息

J Neurophysiol. 1995 Feb;73(2):713-26. doi: 10.1152/jn.1995.73.2.713.

Abstract
  1. To analyze the selectivity and the sparseness of firing to visual stimuli of single neurons in the primate temporal cortical visual area, neuronal responses were measured to a set of 68 visual stimuli in macaques performing a visual fixation task. The population of neurons analyzed had responses that occurred primarily to faces. The stimuli included 23 faces, and 45 nonface images of real-world scenes, so that the function of this brain region could be analyzed when it was processing natural scenes. 2. The neurons were selected to meet the previously used criteria of face selectivity by responding more than twice as much to the optimal face as to the optimal nonface stimulus in the set. Application of information theoretic analyses to the responses of these neurons confirmed that their responses contained much more information about which of 20 face stimuli had been seen (on average 0.4 bits) than about which (of 20) nonface stimuli had been seen (on average 0.07 bits). 3. The sparseness of the representation of a scene or object provided by each of these neurons (which can be thought of as the proportion of stimuli to which the neuron responds, and which is fundamental to understanding the network operation of the system) can be defined as [formula: see text] where ri is the firing rate to the ith stimulus in the set of n stimuli. The sparseness has a maximal value of 1.0. It was found that the sparseness of the representation of the 68 stimuli by each neuron had an average across all neurons of 0.65. This indicates a rather distributed representation. 4. If the spontaneous firing rate was subtracted from the firing rate of the neuron to each stimulus, so that the changes of firing rate, i.e., the responses of the neurons, were used in the sparseness calculation, then the "response sparseness" had a lower value, with a mean of 0.33 for the population of neurons, or 0.60 if calculated over the set of faces. 5. Multidimensional scaling to produce a stimulus space represented by this population of neurons showed that the different faces were well separated in the space created, whereas the different nonface stimuli were grouped together in the space. 6. The information analyses and multidimensional scaling provided evidence that what was made explicit in the responses of these neurons was information about which face had been seen.(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 为了分析灵长类颞叶皮质视觉区域单个神经元对视觉刺激的选择性和发放稀疏性,在猕猴执行视觉注视任务时,测量了它们对一组68种视觉刺激的神经元反应。所分析的神经元群体的反应主要发生在面对刺激时。刺激包括23张面孔和45张真实场景的非面孔图像,以便在该脑区处理自然场景时分析其功能。2. 通过选择对集合中最优面孔的反应比对最优非面孔刺激的反应多两倍以上的神经元,来满足先前使用的面孔选择性标准。对这些神经元的反应进行信息论分析证实,它们的反应包含了更多关于看到了20种面孔刺激中的哪一种(平均0.4比特)的信息,而不是关于看到了20种非面孔刺激中的哪一种(平均0.07比特)的信息。3. 每个神经元提供的场景或物体表征的稀疏性(可视为神经元反应的刺激比例,这对于理解系统的网络运作至关重要)可定义为[公式:见原文],其中ri是对n个刺激集合中第i个刺激的发放率。稀疏性的最大值为1.0。发现每个神经元对68种刺激的表征稀疏性在所有神经元中的平均值为0.65。这表明是一种相当分散的表征。4. 如果从神经元对每个刺激的发放率中减去自发发放率,以便在稀疏性计算中使用发放率的变化,即神经元的反应,那么“反应稀疏性”的值会更低,神经元群体的平均值为0.33,如果在面孔集合上计算则为0.60。5. 多维标度法产生了由这群神经元表示的刺激空间,结果显示不同的面孔在创建的空间中得到了很好的分离,而不同的非面孔刺激在空间中聚集在一起。6. 信息分析和多维标度法提供了证据,证明这些神经元反应中明确的是关于看到了哪张面孔的信息。(摘要截于400字)

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