The effect of correlated variability on the accuracy of a population code

被引：611

作者：

Abbott, LF ^{[1
]}

Dayan, P

机构：

[1] Brandeis Univ, Volen Ctr, Waltham, MA 02454 USA

[2] Brandeis Univ, Dept Biol, Waltham, MA 02454 USA

[3] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA

来源：

NEURAL COMPUTATION | 1999年 / 11卷 / 01期

关键词：

D O I：

10.1162/089976699300016827

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We study the impact of correlated neuronal firing rate variability on the accuracy with which an encoded quantity can be extracted from a population of neurons. Contrary to widespread belief, correlations in the variabilities of neuronal firing rates do not, in general, limit the increase in coding accuracy provided by using large populations of encoding neurons. Furthermore, in some cases, but not all, correlations improve the accuracy of a population code.

引用

页码：91 / 101

页数：11

共 20 条

[1] HOW SENSORY MAPS COULD ENHANCE RESOLUTION THROUGH ORDERED ARRANGEMENTS OF BROADLY TUNED RECEIVERS [J].