**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

**Research **

COMPUTATIONAL VISION

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.

COMPUTATIONAL LINGUISTICS

I have recently begun to work in computational
linguistics, focusing on the task of unsupervised learning of part-of-speech
tags.

**Courses taught**

APMA 0340 (Introduction to Differential Equations,
Part II)

APMA 0410 (Mathematical Methods in the Brain
Sciences)

APMA 1650 (Statistical Inference, Part I)

APMA 1660 (Statistical Inference, Part II)

APMA 1670 (Statistical Analysis of Time Series)

Yun Gao

(updated Jan 26, 2013)