神经编码：稀疏但及时。

Neural coding: sparse but on time.

作者信息

Kloppenburg Peter, Nawrot Martin Paul

机构信息

Biocenter, Institute for Zoology, Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD), University of Cologne, 50674 Cologne, Germany.

Theoretical Neuroscience, Institute of Biology, Freie Universität Berlin, 14195 Berlin, Germany.

出版信息

Curr Biol. 2014 Oct 6;24(19):R957-9. doi: 10.1016/j.cub.2014.08.041.

DOI:10.1016/j.cub.2014.08.041

PMID:25291636

Abstract

To code information efficiently, sensory systems use sparse representations. In a sparse code, a specific stimulus activates only few spikes in a small number of neurons. A new study shows that the temporal pattern across sparsely activated neurons encodes information, suggesting that the sparse code extends into the time domain.

摘要

为了高效地编码信息，感觉系统采用稀疏表征。在稀疏编码中，特定刺激仅激活少数神经元中的少量脉冲。一项新研究表明，稀疏激活神经元的时间模式对信息进行编码，这表明稀疏编码扩展到了时域。