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感觉输入的稀疏编码。

Sparse coding of sensory inputs.

作者信息

Olshausen Bruno A, Field David J

机构信息

Center for Neuroscience, UC Davis, 1544 Newton Court, Davis, California 95616, USA.

出版信息

Curr Opin Neurobiol. 2004 Aug;14(4):481-7. doi: 10.1016/j.conb.2004.07.007.

Abstract

Several theoretical, computational, and experimental studies suggest that neurons encode sensory information using a small number of active neurons at any given point in time. This strategy, referred to as 'sparse coding', could possibly confer several advantages. First, it allows for increased storage capacity in associative memories; second, it makes the structure in natural signals explicit; third, it represents complex data in a way that is easier to read out at subsequent levels of processing; and fourth, it saves energy. Recent physiological recordings from sensory neurons have indicated that sparse coding could be a ubiquitous strategy employed in several different modalities across different organisms.

摘要

多项理论、计算和实验研究表明,神经元在任何给定时刻都通过少量活跃神经元对感觉信息进行编码。这种策略被称为“稀疏编码”,可能具有多种优势。首先,它可以增加关联记忆中的存储容量;其次,它使自然信号中的结构变得明确;第三,它以一种在后续处理阶段更易于读出的方式来表示复杂数据;第四,它节省能量。最近对感觉神经元的生理学记录表明,稀疏编码可能是不同生物体中多种不同感觉模态所采用的一种普遍策略。

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