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Elie Bienenstock studies the mechanisms used by brains to create and compose complex representations. His research, focusing on models of vision, assumes that brains use compositional hierarchies of explicit and detailed representations of objects, parts, and relationships. With colleagues in neuroscience and applied math, he investigates the hypothesis that the fine temporal structure of cortical activity, e.g. the synchronous firing of neurons, plays an important role in these representations.
Overview | Research | Grants/Awards | Teaching | Publications
The first part of my research is in computer vision - how computers interpret images. I'm trying to contribute to the understanding of object recognition, which is part of artificial intelligence. Among its practical uses are military target recognition and optical character recognition in which an image is transformed into text. The main goal is to interpret highly ambiguous images, a task that is not solved very well by current algorithms. What characterizes our approach is that it is compositional. A face is made of eyes, nose, mouth, and each of these is made of simpler constituents, and there are rules that guide how these constituents come together in an image. We try to derive composition rules by studying natural images. We also try to learn the parameters of these rules by statistical methods. The other part of my research is in theoretical neuroscience. We are searching animal behavior data for specific temporal patterns that may shed light on the mechanisms used by the brain to construe separate parts into a whole object.
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 LUCIEN BIENENSTOCK, PhD http://research.brown.edu/myresearch/Lucien_Bienenstock On The Web: http://www.dam.brown.edu/people/elie/page.html Are you Lucien Bienenstock? Click here to edit your research profile. |
