Untangling dendrites with quantitative models

被引:216
作者
Segev, I [1 ]
London, M
机构
[1] Hebrew Univ Jerusalem, Dept Neurobiol, IL-91904 Jerusalem, Israel
[2] Hebrew Univ Jerusalem, Interdisciplinary Ctr Neural Computat, IL-91904 Jerusalem, Israel
关键词
D O I
10.1126/science.290.5492.744
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Our understanding of the function of dendrites has been greatly enriched by an inspiring dialogue between theory and experiments. Rather than functionally ignoring dendrites, representing neurons as single summing points, we have realized that dendrites are electrically and chemically distributed nonlinear units and that this has important consequences for interpreting experimental data and for the role of neurons in information processing. Here, we examine the route to unraveling some of the enigmas of dendrites and highlight the main insights that have been gained. Future directions are discussed that will enable theory and models to keep shedding Light on dendrites, where the most fundamental input-output adaptive processes take place.
引用
收藏
页码:744 / 750
页数:7
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