Course Meeting Times

Lectures: 14 sessions for 1 day, 0.5 hours / session


What are the circuits, mechanisms and representations that permit the recognition of a visual scene from just one glance? In this first symposium on Scene Understanding, speakers from a variety of disciplines - neurophysiology, cognitive neuroscience, visual cognition, computational neuroscience and computer vision - will address a range of topics related to scene recognition, including natural image categorization, contextual effects on object recognition, and the role of attention in scene understanding and visual art. The goal is to encourage exchanges between researchers of all fields of brain sciences in the burgeoning field of scene understanding.


Admission is free and open to the research community.


Prof. Aude Oliva, MIT Brain and Cognitive Sciences

Thomas Serre, MIT McGovern Institute

Antonio Torralba, MIT Computer Science and Artificial Intelligence Laboratory

Sponsored by The Center for Biological and Computational Learning, The Department of Brain and Cognitive Sciences, and The McGovern Institute for Brain Research, MIT.

Course Info

Learning Resource Types

notes Lecture Notes