Suppr超能文献

神经元脉冲序列中感觉信息的编码与处理。

Encoding and processing of sensory information in neuronal spike trains.

作者信息

Gabbiani F, Metzner W

机构信息

Division of Biology, Pasadena, CA 91125, USA and Department of Biology, University of California at Riverside, Riverside, CA 92521-0427, USA.

出版信息

J Exp Biol. 1999 May;202(# (Pt 10)):1267-79. doi: 10.1242/jeb.202.10.1267.

Abstract

Recently, a statistical signal-processing technique has allowed the information carried by single spike trains of sensory neurons on time-varying stimuli to be characterized quantitatively in a variety of preparations. In weakly electric fish, its application to first-order sensory neurons encoding electric field amplitude (P-receptor afferents) showed that they convey accurate information on temporal modulations in a behaviorally relevant frequency range (<80 Hz). At the next stage of the electrosensory pathway (the electrosensory lateral line lobe, ELL), the information sampled by first-order neurons is used to extract upstrokes and downstrokes in the amplitude modulation waveform. By using signal-detection techniques, we determined that these temporal features are explicitly represented by short spike bursts of second-order neurons (ELL pyramidal cells). Our results suggest that the biophysical mechanism underlying this computation is of dendritic origin. We also investigated the accuracy with which upstrokes and downstrokes are encoded across two of the three somatotopic body maps of the ELL (centromedial and lateral). Pyramidal cells of the centromedial map, in particular I-cells, encode up- and downstrokes more reliably than those of the lateral map. This result correlates well with the significance of these temporal features for a particular behavior (the jamming avoidance response) as assessed by lesion experiments of the centromedial map.

摘要

最近,一种统计信号处理技术使得在各种实验准备中,能够对感觉神经元单峰序列所携带的关于时变刺激的信息进行定量表征。在弱电鱼中,将该技术应用于编码电场幅度的一级感觉神经元(P 受体传入神经)时发现,它们能在行为相关频率范围(<80 赫兹)内传递关于时间调制的准确信息。在电感觉通路的下一阶段(电感觉侧线叶,ELL),一级神经元采样的信息被用于提取幅度调制波形中的上升和下降部分。通过使用信号检测技术,我们确定这些时间特征由二级神经元(ELL 锥体细胞)的短峰爆发明确表征。我们的结果表明,这种计算背后的生物物理机制源于树突。我们还研究了在 ELL 的三个躯体定位体表图中的两个(中央内侧和外侧)上,上升和下降部分的编码精度。特别是中央内侧图的锥体细胞,尤其是 I 细胞,比外侧图的锥体细胞更可靠地编码上升和下降部分。这一结果与通过中央内侧图损伤实验评估的这些时间特征对特定行为(干扰回避反应)的重要性密切相关。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验