Dean and I talk about how time and duration is encoded in the brain, how he implemented timing and sequences using short-term synaptic plasticity, in neuronal cultures, and in recurrent neural networks. We also discuss the subjective nature of time, consciousness, and how time might be implemented in future general AI.
Jeff and I discuss his new framework to understand how our cortex functions by building models of complete objects in all the cortical columns throughout the cortex. We also talk about his book On Intelligence, and I get his take on a number of other topics.
Ryota and I discuss his two goals – to implement the functions of consciousness, and to figure out how to measure whether a given system (human, AI, etc) has consciousness. We also talk about his paper implementing curiosity and empowerment as intrinsic motivation in a reinforcement learning AI agent. Plus much more.
Terry and I talk about his new book, The Deep Learning Revolution, about the past, present, and future of deep learning. Plus his super-popular online course Learning How To Learn with Barbara Oakley.
Konrad and I discuss his work automatically detecting potential image fraud in scientific papers, his take on consciousness, and plenty more.