Spikes not slots: noise neural populations limits working memory

被引：94
作者：
Bays, Paul M. [1 ]
机构：
[1] UCL Inst Neurol, London WC1N 3BG, England
来源：
TRENDS IN COGNITIVE SCIENCES | 2015年 / 19卷 / 08期
基金：
英国惠康基金;
关键词：
working memory; population code; normalisation; attractor network; diffusion to bound; binding; SHORT-TERM-MEMORY; ILLUSORY CONJUNCTIONS; CONTINUOUS ATTRACTORS; PERSISTENT ACTIVITY; DECISION-MAKING; VISUAL-CORTEX; CAPACITY; PRECISION; INFORMATION; MULTIPLE;
D O I：
10.1016/j.tics.2015.06.004
中图分类号：
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号：
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要：
This opinion article argues that noise (randomness) in neural activity is the limiting factor in visual working memory (WM), determining how accurately we can maintain stable internal representations of external stimuli. Sharing of a fixed amount of neural activity between items in memory explains why WM can be successfully described as a continuous resource. This contrasts with the popular conception of WM as comprising a limited number of memory slots, each holding a representation of one stimulus I argue that this view is challenged by computational theory and the latest neurophysiological evidence.
引用
收藏
页码：431 / 438
页数：8
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