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SYSTEME ET PROCEDE POUR CLASSIFICATION ITERATIVE UTILISANT DES SIGNAUX NEUROPHYSIOLOGIQUES
专利权人:
INNEREYE LTD.
发明人:
GEVA, AMIR B.,NETZER, EITAN,MANOR, RAN EL,VAISMAN, SERGEY,DEOUELL, LEON Y.,ANTMAN, URI
申请号:
CA3046939
公开号:
CA3046939A1
申请日:
2017.12.21
申请国别(地区):
CA
年份:
2018
代理人:
摘要:
A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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