ニューロインテリジェンス入門

Recent progress in artificial intelligence (AI) has been remarkable and produced results comparable to those of human experts in various applications like Games, Shogi and Go. Historically neuroscience played key roles in such progress of AI, but nowadays there is a wide gap in neuroscience and artificial intelligence. To deeply understand neuroscience, it is important to take the idea of the AI such as reinforcement learning, which is one of the central learning algorithms in AI. On the other hand, to create future AI such as truly neuro-inspired AI, it is important to learn latest discoveries in neuroscience. The interaction of neuroscience and AI should lead to the new field Neurointelligence: the interface of human intelligence and artificial intelligence. In this lecture series, introduction of neurointelligence is given by each researcher working on neurointelligence from a wide range of fields covering computational neuroscience, AI as well as experimental neuroscience.