This lecture delves into the relationship between intelligence, the brain, and behavior, exploring the importance of interaction with the environment, sensory input, and neural networks. It covers mathematical and computational models used in neurorobotics to study intelligence and behavior, emphasizing the role of sensory input, neural activity, and environmental interactions. By the end of the course, students will be able to create model elements that demonstrate basic behaviors and understand concepts like sensory representation learning and reinforcement learning in dynamic environments.