Researchers have developed new methods to predict neuronal signal conversion accuracy by 90%
Release date: 2015-10-13 According to the Daily Science Network, researchers at the University of Southern California have developed a new method for accurately predicting neural signals, and have developed a brain repair device to help people repair damaged memories. When the brain receives sensory information, it creates a memory with complex electrical signals that can travel across multiple regions of the hippocampus of the brain's memory center. In each area the signal is re-encoded until it reaches the final area and is preserved for a long time in a completely different signal form. Regardless of which area is damaged, blocking the spread of signals may affect the formation of long-term memory. This is why people with Alzheimer's disease can remember things long ago, but they cannot save new long-term memories. The University of Southern California's Viterbi School of Engineering, Ted Berger and Song Dong, found a way to accurately mimic the process of converting short-term memory into long-term memory. They developed a brain repair device designed to help people repair damaged memories. The repairer contains a small electrode implanted in the brain that is designed to bypass the damaged hippocampus and provide the correct memory for signal propagation in the next area. At the 37th IEEE International Society of Engineering Society of Medicine and Biology, held at the end of August, researchers shared their results. Two research institutes tested the validity of the model. In hundreds of experiments on nine patients, the new algorithm predicts signal conversion accuracy of 90%. The researchers pointed out that the ability to accurately predict neural signals suggests that a device can be designed to maintain or replace damaged functions in the brain. Next, the research team will try to send the converted signal back to the damaged brain so that it bypasses the damaged part and forms accurate long-term memory. Source: China Science and Technology Network - Technology Daily Puyang Linshi Medical Supplies Co., Ltd. , https://www.linshimedicals.com