Ghodrati Masoud, Khaligh-Razavi Seyed-Mahdi, Lehky Sidney R
School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran; Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC., Australia.
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Royan Institute for Brain and Cognitive Sciences, Tehran, Iran.
Prog Neurobiol. 2017 Sep;156:214-255. doi: 10.1016/j.pneurobio.2017.06.002. Epub 2017 Jun 19.
The lateral geniculate nucleus (LGN) has often been treated in the past as a linear filter that adds little to retinal processing of visual inputs. Here we review anatomical, neurophysiological, brain imaging, and modeling studies that have in recent years built up a much more complex view of LGN. These include effects related to nonlinear dendritic processing, cortical feedback, synchrony and oscillations across LGN populations, as well as involvement of LGN in higher level cognitive processing. Although recent studies have provided valuable insights into early visual processing including the role of LGN, a unified model of LGN responses to real-world objects has not yet been developed. In the light of recent data, we suggest that the role of LGN deserves more careful consideration in developing models of high-level visual processing.
外侧膝状体核(LGN)在过去常常被视为一个线性滤波器,对视觉输入的视网膜处理几乎没有增添什么作用。在此,我们回顾了近年来的解剖学、神经生理学、脑成像和建模研究,这些研究构建了一个关于LGN的更为复杂的观点。这些包括与非线性树突处理、皮质反馈、LGN群体间的同步性和振荡相关的效应,以及LGN在更高层次认知处理中的参与。尽管最近的研究为早期视觉处理(包括LGN的作用)提供了有价值的见解,但尚未开发出一个关于LGN对现实世界物体反应的统一模型。鉴于最近的数据,我们建议在开发高级视觉处理模型时,LGN的作用值得更仔细的考虑。