Research

Systems Neuroscience and Neuroengineering

Researchers within the Systems Neuroscience and Neuroengineering field share a common desire to produce quantitative models of information coding and processing in neural systems.

The human brain, perhaps the greatest and most complicated learning system, exercises control over virtually every aspect of our behavior. The systems neuroscience area is dedicated to understanding the brain’s architecture and how it learns and controls a variety of functions. Spurred by dramatic advances in experimental methods over the past decade, investigators in this area attempt to produce quantitative models of information coding and processing in neural systems.

As descriptions of the physiology, architecture and communication patterns of neurons become more detailed, researchers must integrate these data into comprehensive models that can be used to explore the properties of neural systems and, eventually, explain behavior. Hopkins faculty research interests span a range of experimental and theoretical approaches to studying neural information processing and to developing innovative diagnostic and therapeutic technologies.

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Clinical and Translational Neuroengineering

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Computational Neuroengineering

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Neuroimaging

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Neurotechnology

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Systems Neuroscience

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The brain is perhaps the greatest and most complicated learning system and exercises control over virtually every aspect of behavior. Investigators in this area share a common desire to produce quantitative models of information coding and processing in neural systems.