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  1. research

Signal Processing & Machine Learning

Brain function can be characterized by a variety of noisy signals that vary in their spatial and temporal scales. Research in this theme is focused on how to best extract these signals and identify those that are most meaningful for testing hypothesis about brain structure, function, and behavior.

 Affiliated Faculty

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

Barry Giesbrecht

Professor
Psychological & Brain Sciences
Visual attention; Cognitive neuroscience; Brain Imaging; Exercise physiology.
Brain-computer Interface
Computational Cognitive Neuroscience
Signal Processing & Machine Learning

Scott Grafton

Distinguished Professor
Psychological & Brain Sciences
Professor Grafton is interested in how people organize movement into goal-oriented action.
Brain-computer Interface
Computational Cognitive Neuroscience
Network & Complexity Analysis
Signal Processing & Machine Learning

Matthieu Louis

Associate Professor
Molecular, Cellular, and Developmental Biology
Combining theory and experimentation to understand how navigational decisions arise from neural-circuit computation.
Computational Neuroscience
Molecular, Cellular & Circuit Mechanisms Controlling Behavior
Signal Processing & Machine Learning

Upamanyu Madhow

Professor
Electrical and Computer Engineering
Next-generation wireless communication, sensing and inference; Robust, neuro-inspired machine learning.
Brain-computer Interface
Network & Complexity Analysis
Signal Processing & Machine Learning

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

Julie H. Simpson

Assistant Professor
Molecular, Cellular, and Developmental Biology
Systems neuroscience, neuroethology, genetics. Dissecting neural circuits that control a motor sequence in fruit flies.
Computational Neuroscience
Molecular, Cellular & Circuit Mechanisms Controlling Behavior
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