Dr. Lucien Bienenstock

Associate Professor

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Biography

Lucien Bienenstock is a prominent figure in the fields of Neuroscience and Applied Mathematics, serving as an Associate Professor Emeritus at Brown University. He was born and raised in France, receiving his M.Sc. in mathematics from the Hebrew University of Jerusalem in 1975, followed by a Diploma in engineering from ENST Paris in 1977, and earning his Ph.D. in Applied Mathematics from Brown in 1980. Bienenstock has a notable research background, having worked as a researcher for French CNRS Paris from 1980 until June 1991 before joining Brown as a visiting professor and subsequently as an associate professor. His primary research interests include theoretical neuroscience, computational vision, and computational linguistics, focusing on how the brain creates complex representations of the external world. He collaborates with both neuroscientists and applied mathematicians to investigate neural mechanisms and to develop generative hierarchical models. Bienenstock's scholarly work includes pivotal publications in leading journals, contributing to advancements in machine learning related to visual processing and understanding neural network dynamics.

Research Interests

Courses

Statistical Analysis Time Series Operations Research Probabilistic Models Quantitative Models Biological Systems Statistical Inference Introduction to Probability Statistics Introduction to Computational Neuroscience Computational Neuroscience

Requirements for Brown University

Doctorate Program
Requirements
GRE General
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Undergraduate degree in Economics or related field
Application Checklist
  • Personal Statement
  • Transcripts
  • 3 Letters of Recommendation
  • GRE Scores
  • TOEFL/IELTS Scores (if applicable)
Specialization Notes

Department: Department of Economics