Elie Lucien Bienenstock
Division of Applied Mathematics
Brown Institute for Brain Science
Providence RI 02912
Tel: 401 863 1195
Email: elie at brown period edu
My main research is in computational vision, natural and artificial. To interpret visual scenes, our brains rely on complex computations across a number of hierarchical levels. In particular, when interpreting images that are locally ambiguous -- as is most often the case -- our brains bring high-level knowledge to bear on low-level tasks such as image segmentation. In collaboration with neuroscientists, I investigate the neural mechanisms underlying such computations. In collaboration with applied mathematicians, I investigate generative compositional hierarchical models inspired by my work in theoretical neuroscience.
I have recently begun to work in computational linguistics, focusing on the task of unsupervised learning of part-of-speech tags.
APMA 0340 (Introduction to Differential Equations, Part II)
APMA 0410 (Mathematical Methods in the Brain
APMA 1650 (Statistical Inference, Part I)
APMA 1660 (Statistical Inference, Part II)
APMA 1670 (Statistical Analysis of Time Series)
(updated Jan 26, 2013)