TEMPORAL SPIKE ENCODING FOR TEMPORAL LEARNING
    1.
    发明申请
    TEMPORAL SPIKE ENCODING FOR TEMPORAL LEARNING 审中-公开
    用于时间学习的TEMPORAL SPIKE编码

    公开(公告)号:US20150317557A1

    公开(公告)日:2015-11-05

    申请号:US14315531

    申请日:2014-06-26

    CPC classification number: G06N3/049 G06N3/08

    Abstract: Certain aspects of the present disclosure support methods and apparatus for temporal spike encoding for temporal learning in an artificial nervous system. The temporal spike encoding for temporal learning can comprise obtaining sensor data being input into the artificial nervous system, processing the sensor data to generate feature vectors, converting element values of the feature vectors into delays, and causing at least one artificial neuron of the artificial nervous system to spike at times based on the delays.

    Abstract translation: 本公开的某些方面支持用于人造神经系统中的时间学习的时间尖峰编码的方法和装置。 用于时间学习的时间尖峰编码可以包括获得输入到人造神经系统的传感器数据,处理传感器数据以产生特征向量,将特征向量的元素值转换为延迟,并且引起人造神经的至少一个人造神经元 系统根据延迟时间飙升。

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