When models and brains converge

In this episode of the "Information Bottleneck" podcast, we hosted Aran Nayeb, an assistant professor at Carnegie Mellon University, to discuss the intersection of computational neuroscience and machine learning. We talked about the challenges and opportunities in understanding intelligence through the lens of both biological and artificial systems. We talked about topics such as the evolution of neural networks, the role of intrinsic motivation in AI, and the future of brain-machine interfaces.