Probabilistic interpretation of population codes.
Probabilistic interpretation of population codes.
复制标题
人口代码的概率解释。
DOI：
10.1162/089976698300017818
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Pouget,A
中科院分区：
文献类型：
--
作者：
Zemel,RS;Dayan,P;Pouget,A
我们提出了一个通用的编码解码框架来解释人口的单位的活动。一个标准的人口代码解释方法，泊松模型，从一个描述开始，一个潜在的数量的单个值如何产生人口中每个单位的活动。在铸造它的编码-解码框架中，我们发现，这个模型是过于限制，以充分描述在更高的处理区域，如内侧颞区人口代码中的单位的活动。在一个更强大的模型下，种群活动不仅可以传递关于某个数量的单个值的信息，还可以传递关于其整个分布的信息，包括其方差，甚至可能是系统在产生该数量的实体的世界中的实际存在的确定性。我们提出了一种新的方法，形成这样的概率解释的人口代码，并将其与现有的方法进行比较。
We present a general encoding-decoding framework for interpreting the activity of a population of units. A standard population code interpretation method, the Poisson model, starts from a description as to how a single value of an underlying quantity can generate the activities of each unit in the population. In casting it in the encoding-decoding framework, we find that this model is too restrictive to describe fully the activities of units in population codes in higher processing areas, such as the medial temporal area. Under a more powerful model, the population activity can convey information not only about a single value of some quantity but also about its whole distribution, including its variance, and perhaps even the certainty the system has in the actual presence in the world of the entity generating this quantity. We propose a novel method for forming such probabilistic interpretations of population codes and compare it to the existing method.