首页> 美国卫生研究院文献>Nature Communications >A higher order visual neuron tuned to the spatial amplitude spectra of natural scenes
【2h】

A higher order visual neuron tuned to the spatial amplitude spectra of natural scenes

机译:调谐到自然场景的空间振幅谱的高阶视觉神经元

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Animal sensory systems are optimally adapted to those features typically encountered in natural surrounds, thus allowing neurons with limited bandwidth to encode challengingly large input ranges. Natural scenes are not random, and peripheral visual systems in vertebrates and insects have evolved to respond efficiently to their typical spatial statistics. The mammalian visual cortex is also tuned to natural spatial statistics, but less is known about coding in higher order neurons in insects. To redress this we here record intracellularly from a higher order visual neuron in the hoverfly. We show that the cSIFE neuron, which is inhibited by stationary images, is maximally inhibited when the slope constant of the amplitude spectrum is close to the mean in natural scenes. The behavioural optomotor response is also strongest to images with naturalistic image statistics. Our results thus reveal a close coupling between the inherent statistics of natural scenes and higher order visual processing in insects.
机译:动物的感觉系统可以最佳地适应自然环境中通常遇到的那些特征,因此允许带宽有限的神经元对具有挑战性的大输入范围进行编码。自然场景并不是随机的,脊椎动物和昆虫的外围视觉系统已经进化为能够有效响应其典型的空间统计数据。哺乳动物的视觉皮层也被调整为自然的空间统计,但是对昆虫中高级神经元编码的了解较少。为了解决这个问题,我们在这里记录了蚜虫中较高阶视觉神经元的细胞内记录。我们显示,当振幅谱的斜率常数接近自然场景中的均值时,被静止图像抑制的cSIFE神经元被最大程度地抑制了。行为光动力反应对具有自然图像统计数据的图像也最强。因此,我们的结果揭示了自然场景的固有统计量与昆虫的高级视觉处理之间的紧密联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号