Introduction to Computational Neuroscience. 3 credits

Catalog description

This course provides foundational knowledge in computational and neuroinformatics approaches through the critical analysis of six seminal journal articles. Students will engage in a team project involving a literature search to explore current research trends and design a study for original research in fundamental or translational neuroscience using computational methods. The curriculum covers key papers on topics such as brain atlases, neuron morphology databases, neuron type knowledge bases, simulation environments, connectomics, and electrophysiological data analysis. It emphasizes reading, discussion, and critical evaluation skills to prepare students for hands-on data analysis in subsequent courses. No prior programming experience is required. Offered by Neuroscience . Limited to three attempts.