8:55 Opening Remarks
9:00-9:20 From Zero to Gist in 200 msec: The Time Course of Scene Recognition Aude Oliva and Michelle Greene, MIT Brain and Cognitive Sciences
9:20-9:45 Feedforward Theories of Visual Cortex Predict Human Performance in Rapid Image Categorization Thomas Serre and Tomaso Poggio, MIT McGovern Institute
9:45-10:05 Latency, Duration and Codes for Objects in Inferior Temporal Cortex Gabriel Kreiman, Chou Hung, Tomaso Poggio and James DiCarlo, MIT McGovern Institute and Brain and Cognitive Sciences
10:25-10:50 From Feedforward Vision to Natural Vision: The Impact of Free Viewing, Task, and Clutter on Monkey Inferior Temporal Object Representations James DiCarlo, MIT McGovern Institute
10:50-11:10 Invariant Visual Representations of Natural Images by Single Neurons in the Human Brain Leila Reddy (MIT McGovern Institute), Rodrigo Quian Quiroga, Gabriel Kreiman, Christof Koch and Itzhak Fried
11:10-11:40 Perception of Objects in Natural Scenes and the Role of Attention Anne Treisman and Karla Evans, Princeton University
1:00-1:25 Natural Scene Categorization: From Humans to Computers Li Fei-Fei (Beckman Institute, University of Illinois at Urbana-Champaign), Rufin VanRullen, Asha Iyer, Christof Koch and Pietro Perona
1:25-1:50 Contextual Associations in the Brain Moshe Bar, Elissa Aminoff and Nurit Gronau, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School
1:50-2:15 Using the Forest to See the Trees: A Computational Model Relating Features, Objects and Scenes Antonio Torralba, MIT Computer Science and Artificial Intelligence Laboratory
2:25-2:45 Detecting and Remembering Pictures With and Without Visual Noise Mary Potter and Ming Meng, MIT Brain and Cognitive Sciences
2:45-3:05 Scene Perception after Those First Few Hundred Milliseconds Jeremy Wolfe, Brigham and Women's Hospital and Harvard Medical School
3:05-3:35 The Artist as Neuroscientist Patrick Cavanagh, Vision Sciences Lab, Department of Psychology, Harvard University
4:00-5:00 Brain and Cognitive Sciences Colloquium - Scene Processing with a Wave of Spikes: Reverse Engineering the Visual System Simon Thorpe, CNRS and SpikeNet Technology, France