Brown W Michael, Bäcker Alex
Computational Biology, Sandia National Laboratories, Albuquerque, NM 87123, USA.
Neural Comput. 2006 Jul;18(7):1511-26. doi: 10.1162/neco.2006.18.7.1511.
The efficiency of neuronal encoding in sensory and motor systems has been proposed as a first principle governing response properties within the central nervous system. We present a continuation of a theoretical study presented by Zhang and Sejnowski, where the influence of neuronal tuning properties on encoding accuracy is analyzed using information theory. When a finite stimulus space is considered, we show that the encoding accuracy improves with narrow tuning for one- and two-dimensional stimuli. For three dimensions and higher, there is an optimal tuning width.
神经元编码在感觉和运动系统中的效率已被提出作为支配中枢神经系统内反应特性的首要原则。我们展示了张和塞乔诺斯基提出的一项理论研究的延续，其中使用信息论分析了神经元调谐特性对编码准确性的影响。当考虑有限的刺激空间时，我们表明对于一维和二维刺激，编码准确性随着调谐变窄而提高。对于三维及更高维度，存在一个最佳调谐宽度。
