arrow
返回

When complex neuronal structures may not matter

delete2017-02-06
delete15
delete
OA
AI
A
Adriane G. Otopalik
A
Alexander C. Sutton
M
Matthew R. Banghart
E
Eve Marder *
DOI:10.7554/eLife.23508delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Much work has explored animal-to-animal variability and compensation in ion channel expression. Yet, little is known regarding the physiological consequences of morphological variability. We quantify animal-to-animal variability in cable lengths (CV = 0.4) and branching patterns in the Gastric Mill (GM) neuron, an identified neuron type with highly-conserved physiological properties in the crustacean stomatogastric ganglion (STG) of Cancer borealis. We examined passive GM electrotonic structure by measuring the amplitudes and apparent reversal potentials (E(rev)s) of inhibitory responses evoked with focal glutamate photo-uncaging in the presence of TTX. Apparent E(rev)s were relatively invariant across sites (mean CV +/- SD = 0.04 +/- 0.01; 7-20 sites in each of 10 neurons), which ranged between 100-800 mu m from the somatic recording site. Thus, GM neurons are remarkably electrotonically compact (estimated lambda > 1.5 mm). Electrotonically compact structures, in consort with graded transmission, provide an elegant solution to observed morphological variability in the STG.
Keyword:
LOBSTER STOMATOGASTRIC GANGLION
GRADED SYNAPTIC-TRANSMISSION
CENTRAL PATTERN GENERATOR
ELECTRICALLY COUPLED NEURONS
PASSIVE MEMBRANE-PROPERTIES
TO-ANIMAL VARIABILITY
CA1 PYRAMIDAL NEURONS
HIPPOCAMPAL-NEURONS
DENDRITIC STRUCTURE
CHANNEL EXPRESSION

期刊

eLife 封面图
eLife
IF:
0
论文数:
1.8W
被引数:
16

机构

B
Brandeis University
学者数:
4.0K
论文数: 3.8K
被引数: 5.3K
引用论文

引用论文

err分享
err收藏
Classical and Novel Chemical Tools for RNA Structure Probing
errRNA
IF0
err2001-01-01
err0
PREAI
errRichard Giegé; Mark Helm; Catherine Florentz
err分享
err收藏
Electrically tunable window based on microwrinkled ZnO/Ag thin film
err2017-04-17
err0
errOAAI
errMilan Shrestha; Anand Asundi; Gih-Keong Lau
err分享
err收藏
err分享
err收藏
学者 查看更多内容