Salinas E, Abbott L F
Biology Department, Brandeis University, Waltham, MA 02254, USA.
J Comput Neurosci. 1994 Jun;1(1-2):89-107. doi: 10.1007/BF00962720.
In a number of systems including wind detection in the cricket, visual motion perception and coding of arm movement direction in the monkey and place cell response to position in the rat hippocampus, firing rates in a population of tuned neurons are correlated with a vector quantity. We examine and compare several methods that allow the coded vector to be reconstructed from measured firing rates. In cases where the neuronal tuning curves resemble cosines, linear reconstruction methods work as well as more complex statistical methods requiring more detailed information about the responses of the coding neurons. We present a new linear method, the optimal linear estimator (OLE), that on average provides the best possible linear reconstruction. This method is compared with the more familiar vector method and shown to produce more accurate reconstructions using far fewer recorded neurons.
在许多系统中，包括蟋蟀的风向探测、猴子视觉运动感知及手臂运动方向编码以及大鼠海马体中位置细胞对位置的反应，一群调谐神经元的放电率与一个矢量量相关。我们研究并比较了几种能从测量的放电率中重建编码矢量的方法。在神经元调谐曲线类似余弦曲线的情况下，线性重建方法与需要关于编码神经元反应的更详细信息的更复杂统计方法效果相当。我们提出了一种新的线性方法——最优线性估计器（OLE），它平均能提供尽可能最佳的线性重建。该方法与更常见的矢量方法进行了比较，结果表明使用少得多的记录神经元就能产生更准确的重建。
