Neural Dynamics of Attentive Object Recognition and Scene Understanding
Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube
Course Description
Overview
Explore the neural dynamics of visual perception and decision-making in this comprehensive lecture by Stephen Grossberg from Boston University. Delve into three recent models explaining how the brain visually understands the world, focusing on hierarchical and parallel processes within the What and Where cortical streams. Examine the ARTSCAN model, which addresses object recognition, view-invariant category learning, and the coordination of object and spatial attention. Investigate the ARTSCENE model, which demonstrates efficient scene classification using multiple spatial scales for gist and texture analysis. Study the MODE model, which simulates decision-making processes in response to ambiguous visual motion stimuli. Gain insights into how the brain accumulates information across multiple processing stages, challenging traditional models of vision and raising questions about functional brain units selected by evolution.
Syllabus
Neural Dynamics of Attentive Object Recognition and Scene Understanding – Stephen Grossberg (BU)
Taught by
Center for Language & Speech Processing(CLSP), JHU
Related Courses
Deep Learning For Visual ComputingIndian Institute of Technology, Kharagpur via Swayam Using GPUs to Scale and Speed-up Deep Learning
IBM via edX Introduction To Brain & Behaviour
Indian Institute of Technology Kanpur via Swayam Computer Vision
Nvidia Deep Learning Institute via Udacity TensorFlow for CNNs: Object Recognition
Coursera Project Network via Coursera