.png){kind=icon}
返回
Adaptation without parameter change: Dynamic gain control in motion detection
.png){kind=icon}
OA
AI
DOI：10.1073/pnas.0500491102.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Many sensory systems adapt their input-output relationship to changes in the statistics of the ambient stimulus. Such adaptive behavior has been measured in a motion detection sensitive neuron of the fly visual system, H1. The rapid adaptation of the velocity response gain has been interpreted as evidence of optimal matching of the Hill response to the dynamic range of the stimulus, thereby maximizing its information transmission. Here, we show that correlation-type motion detectors, which are commonly thought to underlie fly motion vision, intrinsically possess adaptive properties. Increasing the amplitude of the velocity fluctuations leads to a decrease of the effective gain and the time constant of the velocity response without any change in the parameters of these detectors. The seemingly complex property of this adaptation turns out to be a straightforward consequence of the multi-dimensionality of the stimulus and the nonlinear nature of the system.
Keyword:
insect
model
motion vision
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
P
IF:
9.1
论文数:
10.8W
被引数:
73.5W
机构
暂无机构信息
引用论文
分享收藏Transition State of Rare Event Base Pair Opening Probed by Threading into Looped DNA.png)
ChemBioChem
ChemBioChemIF0
PREAI
分享收藏
查看更多内容