COGS 1 Lecture Notes - Lecture 15: Demis Hassabis, Lee Sedol, Neuromorphic Engineering
Document Summary
Want to create a new type of computer that can learn and interpret from data to solve unfamiliar problems and operate with the energy efficiency of the brain. Neuromorphic engineering - bring machines closer to neuro system. Achieving or surpassing human level machine learning requires. Advances in computational resources approaching connectivity and energy efficiency. Membrane potential is the voltage difference between the inside and outside of the cell. Myelinated axons are faster than unmyelinated because the action potential jumps to each node. Calcium ions determine the release of neurotransmitter. Vesicle forms to membrane and neurotransmitters are released. Gated ion channels that are triggered by neurotransmitters. Donald hebb - proposed that learning is proposed through changes in synaptic strength. Alpha go - learns by neural circuits. Demis hassabis - vp of google deep mind and brain behind alpha go. New technologies that need to come about. Processing techniques to cancel out external cues.
