Visual Object Recognition: Computational and Biological Mechanisms

Visual Object Recognition: Computational and Biological Mechanisms

Course Number(s): 

Neurobiology 130, Neurobiology 230, GSAS 78454




  • Fall 2017

Course Level: 

  • Graduate, Undergraduate

Class Days/Times: 

Mon 3:30pm to 5:30pm

Course Description: 

Visual recognition is essential for most everyday tasks including navigation, reading and socialization, and is also important for engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. This course examines how circuits of neurons in visual cortex represent and transform visual information, covering the following topics: functional architecture of visual cortex, lesion studies, physiological experiments in humans and animals, visual consciousness, computational models of visual object recognition, computer vision algorithms.