Purpose of Minicourse

Throughout its history, neural regeneration has been a challenging discipline in terms of modeling and rigorous assessment of plasticity. Rigorously modeling the injured nervous system is a challenge given its innate complexity. Further, repair and regeneration of the nervous system requires a multidisciplinary approach, along with the integration of multiple tools and varied areas of expertise (i.e., biology, engineering, immunology, etc.). One of the most common problems in the field is the empirical testing of neural regeneration at the anatomical and the functional level. Ultimately, the complex nature of the nervous system and the neural regeneration field requires a level of consideration from multiple disciplines in order to generate investigative principles that lead to scientific rigor and reproducibility. This mini course aims to deepen participants’ understanding of the mechanics and synthesis of project development in systems neuroscience and the implementation and interpretation of experimental design, scientific rigor, and statistics in neuroscience.

Topics

Our mission is to be an educational hub for trainees and early-stage investigators interested in learning historical principles as well as modern tools for the rigorous analysis of neural regeneration.

•    Databases and Data Management
•    Chain of Command in Data Security
•    Rigor and Reproducibility