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斑马鱼嗅觉系统中的神经元计算。

Neuronal computations in the olfactory system of zebrafish.

机构信息

Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.

出版信息

Annu Rev Neurosci. 2013 Jul 8;36:383-402. doi: 10.1146/annurev-neuro-062111-150504. Epub 2013 May 29.

Abstract

The main olfactory system encodes information about molecules in a combinatorial fashion by distributed spatiotemporal activity patterns. As activity propagates from sensory neurons to the olfactory bulb and to higher brain areas, odor information is processed by multiple transformations of these activity patterns. This review discusses neuronal computations associated with such transformations in the olfactory system of zebrafish, a small vertebrate that offers advantages for the quantitative analysis and manipulation of neuronal activity in the intact brain. The review focuses on pattern decorrelation in the olfactory bulb and on the readout of multiplexed sensory representations in the telencephalic area Dp, the homolog of the olfactory cortex. These computations are difficult to study in larger species and may provide insights into general information-processing strategies in the brain.

摘要

主要嗅觉系统通过分布式时空活动模式以组合方式对分子信息进行编码。随着活动从感觉神经元传播到嗅球和更高的大脑区域,气味信息通过这些活动模式的多次转换进行处理。本综述讨论了与这种在斑马鱼嗅觉系统中的转换相关的神经元计算,斑马鱼是一种小型脊椎动物,它为定量分析和操纵完整大脑中的神经元活动提供了优势。该综述重点介绍了嗅球中的模式去相关和在端脑区域 Dp 中多路复用感觉表示的读出,Dp 是嗅觉皮层的同源物。这些计算在较大的物种中很难研究,可能为大脑中的一般信息处理策略提供了见解。

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