Correlation and independence in the neural code
Correlation and independence in the neural code
复制标题
DOI：
10.1162/neco.2006.18.6.1259
复制
发表时间：
2006-06-01
影响因子：
2.9
通讯作者：
Nakahara, Hiroyuki
中科院分区：
文献类型：
--
作者：
Amari, Shun-ichi;Nakahara, Hiroyuki
刺激的解码方案可以不同于神经群体编码中的随机编码方案。随机波动通常不是独立的，但是为了便于解码，可以使用独立的版本。使用这种不忠实的模型进行解码会丢失多少信息？有关于信息丢失的讨论（Nirenberg &莱瑟姆，2003; Schneidman，Bialek，& Berry 2003）。我们从信息几何的角度解释了Nirenberg-Latham损失。
The decoding scheme of a stimulus can be different from the stochastic encoding scheme in the neural population coding. The stochastic fluctuations are not independent in general, but an independent version could be used for the ease of decoding. How much information is lost by using this unfaithful model for decoding? There are discussions concerning loss of information (Nirenberg & Latham, 2003; Schneidman, Bialek, & Berry 2003). We elucidate the Nirenberg-Latham loss from the point of view of information geometry.