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Credit: Scott Grafton
  1. research

Network & Complexity Analysis

Human brain function can be characterized by localized properties (e.g., single cells or regions) as well as large-scale interregional circuits and networks. The fields of computer science, engineering and physics have a long history of developing approaches that allow one to characterize networks and complexity across such scales.

 Affiliated Faculty

F. Gregory Ashby

Distinguished Professor Emeritus
Psychological & Brain Sciences
Dynamical Neuroscience
Cognitive & neural mechanisms of human learning; Cognitive neuroscience; Mathematical psychology.
Brain-computer Interface
Computational Cognitive Neuroscience
Computational Neuroscience
Network & Complexity Analysis

Jean Carlson

Professor
Physics
Cognitive neuroscience, learning, memory, categorization, decision processes in perception and cognition.
Network & Complexity Analysis

Michael S. Gazzaniga

Distinguished Professor Emeritus
Psychological & Brain Sciences
Dr. Gazzaniga is currently engaged in examining how codes play a role in understanding how neurons become mind.
Computational Cognitive Neuroscience
Network & Complexity Analysis

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

Kenneth S. Kosik

Distinguished Professor
Molecular, Cellular, and Developmental Biology
Molecular and genetic perspectives on neuro-development, evolution, plasticity and degeneration
Computational Neuroscience
Network & Complexity Analysis

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

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

Mike Miller

Professor
Psychological & Brain Sciences
Dr. Miller is interested in the psychological and neural processes underlying human memory and decision-making.
Brain-computer Interface
Computational Cognitive Neuroscience
Network & Complexity Analysis

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