Anna and I discuss home and DIY use of neurotechnology- specifically transcranial direct current stimulation (tDCS) and electroencephalography (EEG) products marketed to improve cognition. We talk about who uses these products and for what (enhancement or self-treatment), how they get marketed, and the possibilities for how they may get regulated.
Julie and I discuss her work using spintronic nano-devices to implement bio-inspired computing and neural networks in hardware. We talk about neuromorphic chips in general, their history, how they could solve the energy efficiency problem, where it’s all headed, some of the physics behind her nano-oscillators, and more.
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.
