Turner J A, Anderson K C, Siegel R M
Neuroimaging Research Laboratory, Long Beach VA Medical Center, Long Beach, CA 90822, USA.
Neural Comput. 2003 Sep;15(9):2067-90. doi: 10.1162/089976603322297296.
The firing-rate data from 341 cells from two macaques' superion temporal polysensory area (STPa) were subjected to three different analyses to determine the temporal firing-rate patterns in response to visual optic flow patterns. The data were collected while the monkey viewed four types of optic flow and responded to the change in the display. The mean firing rate (MFR) analysis considered the mean change in firing rate for 500 ms after stimulus onset; the discriminant (DIS) analysis and the principal components (PCA+DIS) analysis considered the change in time-binned firing rate over 1000 ms after stimulus presentation, using bin sizes of 30 to 500 ms. The DIS analysis used a step-down discriminant analysis to find temporal windows in which the cell's firing rate could discriminate among the stimuli; the PCA+DIS analysis extracted the principal components of the cell's firing rates without regard for the stimulus type and then applied a step-down discriminant analysis to the PCA scores to determine whether any of the principal components could discriminate among the stimuli. The two temporal analyses found cells sensitive to the optic flows that the MFR analysis missed. A small proportion of cells showed multiple selectivities under the temporal analyses. Thus, the temporal analyses give a more complete representation of the information encoded by the firing properties of STPa neurons. Finally, this approach incorporates temporal approaches with classical statistical techniques in order to select tuned neurons from a population in an unbiased manner.
对来自两只猕猴颞上多感觉区(STPa)的341个细胞的放电率数据进行了三种不同分析,以确定对视觉光流模式做出反应时的时间放电率模式。在猴子观看四种类型的光流并对显示变化做出反应时收集数据。平均放电率(MFR)分析考虑刺激开始后500毫秒内放电率的平均变化;判别(DIS)分析和主成分(PCA+DIS)分析考虑刺激呈现后1000毫秒内按时间分箱的放电率变化,时间间隔为30至500毫秒。DIS分析使用逐步判别分析来找到细胞放电率能够区分不同刺激的时间窗口;PCA+DIS分析提取细胞放电率的主成分而不考虑刺激类型,然后对主成分得分应用逐步判别分析,以确定是否有任何主成分能够区分不同刺激。这两种时间分析发现了MFR分析遗漏的对光流敏感的细胞。在时间分析中,一小部分细胞表现出多种选择性。因此,时间分析更完整地呈现了STPa神经元放电特性所编码的信息。最后,这种方法将时间方法与经典统计技术相结合,以便以无偏方式从群体中选择调谐神经元。