Synaptic and network properties underlying neural coding in the mammalian visual cortex

这项研究将： (1)增加我们对视觉功能的基本了解，这有助于解释许多临床知觉障碍。(2)帮助提供皮质内神经元网络的详细图像，为盲人假体奠定基础。(3)揭示了图形-背景分离、感知学习等神经组织原理，对机器人视觉的实用算法有一定的启发作用。(4)在激励的智力环境中培训研究生和博士后研究员掌握最先进的技术。

This study will: (1) Increase our basic understanding of visual function that can help to explain many clinical perceptual disturbances. (2) Help in providing a detailed picture of intracortical neuronal networks that can form the basis for a prosthesis for the blind. (3) Discover the principles of neural organization underlying functions such as figure-ground segregation and perceptual learning which can inspire practical algorithms for robotic vision. (4) Train graduate students and postdoctoral fellows in state of the art techniques in a stimulating intellectual environment.