Harvard University - Department of Molecular & Cellular Biology

DAVID COX

Cox
Assistant Professor of Molecular and Cellular Biology

Email: davidcox@fas.harvard.edu
Phone: 617-384-5007

Mail: NW 219.40
Northwest Building
52 Oxford St
Cambridge, MA  02138

Cox Lab Website
Select Publications
Members of the Cox Lab
List of Publications from PubMed

Courses

MCB 81. Fundamentals of Neuroscience
Catalog Number: 159708  View Course Website
Term: Fall Term 2015-2016.
Instructor: David Cox
Course Level: Primarily for Undergraduates
Description: An intensive introduction to topics in neuroscience, ranging from the inner workings of neurons, to the function of small neuronal networks, to the function of brain systems that give rise to perception, thought, emotion, cognition and action. The course will emphasize student-directed learning and will follow an "inverted" structure: students will be expected to watch lecture videos and complete exercises outside of class, and classroom time will be primarily reserved for discussion and in-class exercises.
Meetings: M,W,F 1:00 - 2:00
MCB 309. Sensory Processing in Visual Cortical Circuits
Catalog Number: 92836  View Course Website
Term: Fall Term And Spring Term 2014-2015.
Instructor: David Cox
Course Level: Exclusively for Graduates
MCB 80.1X. Fundementals of Neuroscience Part 1
Catalog Number: 8012014  View Course Website
Term: Full Year 2014-2015.
Instructor: David Cox
Course Level: Primarily for Undergraduates
MCB 80.2X. Fundamentals of Neuroscience Part 2: Neurons and Networks
Catalog Number: 8022014  View Course Website
Term: Fall 2014-2015.
Instructor: David Cox
Course Level: Primarily for Undergraduates
NEUROBIO 332L. Biological and computational underpinnings of visual processing
Catalog Number: 96616  View Course Website
Term: Fall Term And Spring Term 2014-2015.
Instructor: David Cox
Course Level: Exclusively for Graduates
(View all MCB Courses)

Research

We recognize visual objects with such ease that it is easy to overlook what an impressive computational feat this represents. Any given object in the world can cast an effectively infinite number of different images onto the retina, depending on its position relative to the viewer, the configuration of light sources, and the presence of other objects in the visual field. In spite of this extreme variation, biological visual systems are able to effortlessly recognize at least hundreds of thousands of distinct object classes—a feat that no current artificial system can come close to achieving. My laboratory seeks to understand the underpinnings of visual object recognition through a concerted effort on two fronts. First, we endeavor to understand the workings of biological visual systems using a variety of experimental techniques, ranging from microelectrode recordings to visual psychophysics. Second, we attempt to instantiate what we have learned into artificial object recognition systems, leveraging recent advances in parallel computing to build systems that begin to approach the scale of natural biological systems. By combining reverse- and forward-engineering approaches, we hope to accelerate progress in both domains.

Publications

For a detailed list of publications, please visit http://www.coxlab.org/publications/

updated: 06/28/2016