New research using computational vision models suggests the brain’s “ventral stream” might be more versatile than previously thought. Read more Adding a module that mimics part of the brain can prevent common errors made by computer vision
How do you recognize the faces of your loved ones? The words on this page? The cars, bikes and pedestrians as you contemplate crossing the street? How do you predict what will happen next in that dynamic visual world and where and when it i…
Understanding how the brain recognizes objects is a central challenge for understanding human vision, and for designing artificial vision systems. (No computer system comes close to human vision.) A new study by neuroscientists suggests tha…
In work that could aid efforts to develop more brain-like computer vision systems, MIT neuroscientists have tricked the visual brain into confusing one object with another, thereby demonstrating that time teaches us how to recognize objects…
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If you have arrived here, you are probably interested in downloading brain-related data (neural activities, behavioral patterns, etc.). There are two reasons you likely seek such data. A first reason is that you think these data may inform
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How humans learn new visual objects is a longstanding scientific problem. Previous work has led to a diverse collection of models for how it is accomplished, but a current limitation in the field is a lack of empirical benchmarks which can