Researchers at Michigan Technological University are applying neuromorphic computing to improve the effectiveness and energy efficiency of deep brain stimulation systems used to treat Parkinson’s disease.
Neuromorphic engineering is focused on developing computer hardware and software systems that mimic the structure, function, and behavior of the human brain. The goal of neuromorphic engineering is to create computing systems that are much more energy-efficient, scalable, and adaptive than conventional computer systems, and that can solve complex problems in a manner that is similar to how the brain solves problems. Neuromorphic computing is a specific application of neuromorphic engineering. It involves the use of hardware and software systems that are designed to process information in a manner that is similar to how the human brain processes information.
Energy Efficiency of Neuromorphic Hardware Practically Proven hpcwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from hpcwire.com Daily Mail and Mail on Sunday newspapers.
ALBUQUERQUE, N.M., March 10, 2022 With the insertion of a little math, Sandia National Laboratories researchers have shown that neuromorphic computers,