Dmitri Chklovskii believes all your neurons are smart controller agents, and understanding this will transform neuroscience and how we build artificial intelligence.
My guest today, neuroscientist David Robbe, believes we don’t rely on clocks in our brains, or measure time internally, or really that we measure time at all. Rather, our estimation of time emerges through our interactions with the world around us and/or the world within us as we behave.
David Krakauer is the president of the Santa Fe Institute, where their mission is officially “Searching for Order in the Complexity of Evolving Worlds.” When I think of the Santa Fe institute, I think of complexity science, because that is the common thread across the many subjects people study at SFI, like societies, economies, brains, machines, and evolution. David has been on before, and I invited him back to discuss some of the topics in his new book The Complex World: An Introduction to the Fundamentals of Complexity Science.
Eli Sennesh on bridging predictive coding and NeuroAI
Rajesh Rao shares his updated theory on how the cortex could implement active predictive coding. Predictive coding shares theoretical roots with predictive processing, the bayesian brain, active inference, and the free energy principle, all of which are general theories of brain function.
