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Computational Vision

Computational vision is an approach that is focused on understanding and creating models of visual system function. It is interdisciplinary and includes research that is fundamental and applied.

 Affiliated Faculty

Michael Beyeler

Assistant Professor
Computer Science
Psychological & Brain Sciences
Computational Vision, Computational Neuroscience, Neuroengineering, Human-Computer Interaction.
Brain-computer Interface
Computational Cognitive Neuroscience
Computational Neuroscience
Computational Vision

Miguel P. Eckstein

Professor
Psychological & Brain Sciences
How biological organisms and artificial intelligent agents visually sense the world and make decisions.
Brain-computer Interface
Computational Cognitive Neuroscience
Computational Neuroscience
Computational Vision
Signal Processing & Machine Learning

B.S. Manjunath

Professor
Electrical and Computer Engineering
Research in Reproducible Computer Vision, Image Forensics and Deep Learning
Brain-computer Interface
Computational Vision
Network & Complexity Analysis

Jeff Moehlis

Professor
Mechanical Engineering
Modeling, dynamics, & control of neural populations; application to neurological disorders such as Parkinson's disease.
Computational Neuroscience
Network & Complexity Analysis
Signal Processing & Machine Learning

Spencer LaVere Smith

Associate Professor
Electrical and Computer Engineering
Exploring neural circuitry and illuminating its function, using new neurotechnology.
Brain-computer Interface
Computational Neuroscience
Computational Vision
Molecular, Cellular & Circuit Mechanisms Controlling Behavior
Network & Complexity Analysis
Signal Processing & Machine Learning