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Mark Reimers, PhD

Associate Professor, Neuroscience Program

 326 Giltner Hall


NEU 425 Computational Modeling in Neuroscience (Spring of every year)
Introduction to neuroscience modeling techniques; review of successful models; student will create their own model of a dynamic neural process or behavior

NEU 430 Genomics of Brain and Behavior (Summer of every year)
Role of genes in brain development and function. Issues in behavioral and psychiatric genetics.

NEU 445 Analysis of Neural Activity Data (W) (Fall of every year)
Conceptual and practical approaches to analyzing large functional datasets. Emphasis on statistical issues, including preprocessing, estimation methods, hypothesis testing, dimension reduction, and correlation with behavior. Data types include electrophysiological recording, EEG, MEG, fMRI and optical imaging.