STOCHASTIC DELAY PLASTICITY
    1.
    发明申请

    公开(公告)号:WO2015127106A1

    公开(公告)日:2015-08-27

    申请号:PCT/US2015/016655

    申请日:2015-02-19

    CPC classification number: G06N3/08 G06N3/02 G06N3/0472 G06N3/049

    Abstract: A method of operating a spiking neural network having neurons coupled together with a synapse includes monitoring a timing of a presynaptic spike and monitoring a timing of a postsynaptic spike. The method also includes determining a time difference between the postsynaptic spike and the presynaptic spike. The method further includes calculating a stochastic update of a delay for the synapse based on the time difference between the postsynaptic spike and the presynaptic spike.

    Abstract translation: 操作具有与突触耦合在一起的神经元的加标神经网络的方法包括监视突触前尖峰的定时并监测突触后尖峰的定时。 该方法还包括确定突触后尖峰和突触前尖峰之间的时间差。 该方法还包括基于突触后尖峰和突触前尖峰之间的时间差来计算突触的延迟的随机更新。

    SHARED MEMORY ARCHITECTURE FOR A NEURAL SIMULATOR
    2.
    发明申请
    SHARED MEMORY ARCHITECTURE FOR A NEURAL SIMULATOR 审中-公开
    用于神经模拟器的共享存储器架构

    公开(公告)号:WO2015053889A2

    公开(公告)日:2015-04-16

    申请号:PCT/US2014/054510

    申请日:2014-09-08

    CPC classification number: G06F12/02 G06N3/049 G06N3/063

    Abstract: Aspects of the present disclosure provide methods and apparatus for allocating memory in an artificial nervous system simulator implemented in hardware. According to certain aspects, memory resource requirements for one or more components of an artificial nervous system being simulated may be determined and portions of a shared memory pool (which may include on-chip and/or off-chip RAM) may be allocated to the components based on the determination.

    Abstract translation: 本公开的方面提供了在硬件中实现的人造神经系统模拟器中分配存储器的方法和装置。 根据某些方面,可以确定正在模拟的人造神经系统的一个或多个组件的存储器资源需求,并且可以将共享存储器池(其可以包括片上和/或片外RAM)的部分分配给 组件基于确定。

    COMPILING NETWORK DESCRIPTIONS TO MULTIPLE PLATFORMS
    3.
    发明申请
    COMPILING NETWORK DESCRIPTIONS TO MULTIPLE PLATFORMS 审中-公开
    编译网络描述到多个平台

    公开(公告)号:WO2015053864A1

    公开(公告)日:2015-04-16

    申请号:PCT/US2014/051729

    申请日:2014-08-19

    CPC classification number: G06N3/10 G06N3/049

    Abstract: A method of generating executable code for a target platform in a neural network includes receiving a spiking neural network description. The method also includes receiving platform-specific instructions for one or more target platforms. Further, the method includes, generating executable code for the target platform(s) based on the platform-specific instructions and the network description.

    Abstract translation: 在神经网络中为目标平台生成可执行代码的方法包括接收尖峰神经网络描述。 该方法还包括接收针对一个或多个目标平台的平台特定指令。 此外,该方法包括:基于特定于平台的指令和网络描述,为目标平台生成可执行代码。

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