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The increased popularity of Artificial Intelligence (AI) and machine learning, including generative AI tools, has important implications for neuroscience research and education. This timely short course will cover AI in relation to the following subtopics: (a) data acquisition/analysis; (b) manuscript, grant writing, and publishing; and (c) trainee/student education. Experts will discuss machine learning, data recording and analysis, plagiarism/image manipulation risks, funding agency policies, and mentor-mentee relationships in the context of AI.
