Credit: Michael Jacobs Goard

How does the brain compute? Ensembles of neurons form circuits that constitute the functional building blocks of the brain. Using tools from dynamical systems theory and numerical simulations, NRI investigators study the computations achieved by neural circuits. They use techniques from computer vision and artificial intelligence to track and analyze the behavior of cells and entire organisms. They apply concepts of physics and information theory to determine the constraints affecting the functions of neural processes and their motor manifestations. By iterating a loop between experimentation and theory, NRI investigators aim to test and refine models of neural-circuit computation.

Researchers

Assistant Professor
Computational Vision, Computational Neuroscience, Neuroengineering, Human-Computer Interaction.
Assistant Professor
Neural circuit dynamics and behavior; navigation in a visual environment; neural mechanisms of object selection and decision-making.
Associate Professor
Combining theory and experimentation to understand how navigational decisions come about in terms of neural-circuit computation.
Professor
Computer vision, machine learning, microscopy image analysis, image segmentation, classification, tracking.
Mehrabian Distinguished Professor
Computational methods, mathematical modeling, and machine learning, with application to a wide range of problems from systems biology, neuroscience and engineering.
Co-Director, UCSB Brain Initiative
Associate Professor
Neuroengineering multiphoton imaging systems. Studying how neurons and their networks compute. Mouse visual system, behavior, large scale networks with subcellular resolution.
Assistant Professor
Studies how the brain represents information in support of goal-directed behavior using computational neuroimaging.
Professor
Attention disorders and media-multitasking, moral judgment and conflict in narratives, media violence and aggression, persuasion neuroscience, cognitive control and flow experiences.