Explore the fascinating intersection of neuroscience and artificial intelligence in this lecture by Gabriel Kreiman from Harvard University and Children's Hospital Boston. Delve into the complexities of brain codes and their potential applications in developing more advanced AI systems. Examine the intricacies of visual recognition, pattern completion, and neural mechanisms underlying these processes. Discover how the human brain processes partial information and completes patterns, and learn about the importance of eye movements in scene understanding. Gain insights into neurobiologically inspired models that capture sampling behavior and the potential for creating more robust and intelligent AI systems based on our understanding of brain function.