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    Dynamic gating using neuromorphic hardware
    1.
    发明授权
    Dynamic gating using neuromorphic hardware 有权

    公开(公告)号：US10970622B2

    公开(公告)日：2021-04-06

    申请号：US15405824

    申请日：2017-01-13

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Alexander Andreopoulos

    IPC分类号： G06N3/063 ,  G06N3/04

    摘要： Dynamic gating for neuromorphic systems and the configuration thereof are provided. In various embodiments, neurosynaptic system comprises a neurosynaptic core. The neuromorphic core comprises a plurality of neurons and axons. The neurosynaptic core comprises a programmable gate operative to receive a control signal and selectively output a first output signal based on the control signal. In various embodiments, a plurality of input parameters are read, defining the behavior of a programmable gate. Based upon the plurality of input parameters, a neurosynaptic core is configured to provide a programmable gate operative to receive a control signal and selectively output a first output signal based on the control signal.

    EXTRACTING MOTION SALIENCY FEATURES FROM VIDEO USING A NEUROSYNAPTIC SYSTEM
    5.
    发明申请
    EXTRACTING MOTION SALIENCY FEATURES FROM VIDEO USING A NEUROSYNAPTIC SYSTEM 审中-公开

    公开(公告)号：US20180107893A1

    公开(公告)日：2018-04-19

    申请号：US15855820

    申请日：2017-12-27

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Alexander Andreopoulos ,  Steven K. Esser ,  Dharmendra S. Modha

    IPC分类号： G06K9/46 ,  G06K9/66 ,  G06K9/00

    摘要： Embodiments of the invention provide a method of visual saliency estimation comprising receiving an input video of image frames. Each image frame has one or more channels, and each channel has one or more pixels. The method further comprises, for each channel of each image frame, generating corresponding neural spiking data based on a pixel intensity of each pixel of the channel, generating a corresponding multi-scale data structure based on the corresponding neural spiking data, and extracting a corresponding map of features from the corresponding multi-scale data structure. The multi-scale data structure comprises one or more data layers, wherein each data layer represents a spike representation of pixel intensities of a channel at a corresponding scale. The method further comprises encoding each map of features extracted as neural spikes.

    Extracting salient features from video using a neurosynaptic system
    7.
    发明授权
    Extracting salient features from video using a neurosynaptic system 有权
    使用神经突触系统从视频中提取突出特征

    公开(公告)号：US09195903B2

    公开(公告)日：2015-11-24

    申请号：US14265268

    申请日：2014-04-29

    申请人： International Business Machines Corporation

    发明人： Alexander Andreopoulos ,  Steven K. Esser ,  Dharmendra S. Modha

    IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/66

    CPC分类号： G06K9/4671 ,  G06K9/00744 ,  G06K9/4604 ,  G06K9/4652 ,  G06K9/4676 ,  G06K9/66 ,  G06N3/049 ,  G06N3/063

    摘要： Embodiments of the invention provide a method of visual saliency estimation comprising receiving an input sequence of image frames. Each image frame has one or more channels, and each channel has one or more pixels. The method further comprises, for each channel of each image frame, generating corresponding neural spiking data based on a pixel intensity of each pixel of the channel, generating a corresponding multi-scale data structure based on the corresponding neural spiking data, and extracting a corresponding map of features from the corresponding multi-scale data structure. The multi-scale data structure comprises one or more data layers, wherein each data layer represents a spike representation of pixel intensities of a channel at a corresponding scale. The method further comprises encoding each map of features extracted as neural spikes.

    摘要翻译： 本发明的实施例提供一种视觉显着性估计方法，包括接收图像帧的输入序列。 每个图像帧具有一个或多个通道，并且每个通道具有一个或多个像素。 该方法还包括对于每个图像帧的每个通道，基于通道的每个像素的像素强度生成相应的神经峰值数据，基于相应的神经峰值数据生成相应的多尺度数据结构，并且提取相应的 从相应的多尺度数据结构的特征图。 多尺度数据结构包括一个或多个数据层，其中每个数据层表示相应尺度的通道的像素强度的尖峰表示。 该方法还包括对作为神经尖峰提取的特征的每个图进行编码。