Machine-learning algorithm automatically classifies sleep stages of lab mice

Researchers at the University of Tsukuba have created a new artificial intelligence program for automatically classifying the sleep stages of mice that combines two popular machine learning methods. Dubbed MC-SleepNet, the algorithm achieved accuracy rates exceeding 96 percent and high robustness against noise in the biological signals. The use of this system for automatically annotating data can significantly assist sleep researchers when analyzing the results of their experiments.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2OO1LBb

SHARE SHARE SHARE