The Indiana Alcohol Research Center collects large, dense data sets from humans and rodents with a range of techniques that acquire multiple, simultaneous measures of neural function. The goal of the Network Analysis and Computational Modeling Core is to interrogate the brain networks and neural circuits that underlie binge and high intensity drinking in a translational manner. The objective of this core is to increase synergy and translation across species and components, and to integrate the center’s data into computational models capable of articulating the pathology in neural circuits that underlie binge and high intensity drinking. This core works closely with the research components to implement and develop analysis and computational modeling techniques that capture network and systems-level interactions.
Core Faculty
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Joaquín Goñi Cortes, PhD
Assistant Professor of Industrial Engineering and Biomedical Engineering
Purdue University
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Alexey Kuznetsov, PhD
Associate Professor of Computational Neuroscience
School of Science, IUPUI
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Jarek Harezlak, PhD
Professor of Epidemiology and Biostatistics
Indiana University School of Public Health