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    SCANNING WINDOW IN HARDWARE FOR LOW-POWER OBJECT-DETECTION IN IMAGES
    1.
    发明申请
    SCANNING WINDOW IN HARDWARE FOR LOW-POWER OBJECT-DETECTION IN IMAGES 有权
    硬件中的扫描窗口，用于图像中的低功耗对象检测

    公开(公告)号：US20160092735A1

    公开(公告)日：2016-03-31

    申请号：US14866739

    申请日：2015-09-25

    Applicant: QUALCOMM Incorporated

    Inventor： Alok GOVIL ,  Venkat RANGAN ,  Nelson RASQUINHA ,  Hae-Jong SEO

    IPC: G06K9/00

    CPC classification number: G06K9/00973 ,  G06K9/00221 ,  G06K9/00288 ,  G06K9/00624 ,  G06K9/32 ,  G06K9/3233 ,  G06K9/4671 ,  G06K9/605 ,  G06K9/66 ,  G06K2009/4666 ,  H04N5/23219 ,  H04N5/3454 ,  H04N5/347 ,  H04N5/378 ,  H04N13/254

    Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

    Abstract translation: 一种装置包括硬件传感器阵列，其包括沿阵列的至少第一维度和第二维度排列的多个像素，每个像素能够产生传感器读数。 硬件扫描窗口阵列包括沿着硬件扫描窗口阵列的至少第一维度和第二维度布置的多个存储元件，每个存储元件能够基于一个或多个传感器读数来存储像素值。 用于系统地将基于传感器读数的像素值传送到硬件扫描窗口阵列中的外围电路，以使像素值的不同窗口在不同时间存储在硬件扫描窗口阵列中。 耦合到硬件传感器阵列，硬件扫描窗口阵列和外围电路的控制逻辑向外围电路提供控制信号以控制像素值的传送。

    COMPUTED SYNAPSES FOR NEUROMORPHIC SYSTEMS
    2.
    发明申请
    COMPUTED SYNAPSES FOR NEUROMORPHIC SYSTEMS 有权
    神经系统的计算机仿真

    公开(公告)号：US20150046382A1

    公开(公告)日：2015-02-12

    申请号：US14084326

    申请日：2013-11-19

    Applicant: QUALCOMM Incorporated

    Inventor： Venkat RANGAN

    IPC: G06N3/08

    CPC classification number: G06N3/08 ,  G06N3/049 ,  G06N3/063 ,  G06N3/082

    Abstract: Methods and apparatus are provided for determining synapses in an artificial nervous system based on connectivity patterns. One example method generally includes determining, for an artificial neuron, an event has occurred; based on the event, determining one or more synapses with other artificial neurons based on a connectivity pattern associated with the artificial neuron; and applying a spike from the artificial neuron to the other artificial neurons based on the determined synapses. In this manner, the connectivity patterns (or parameters for determining such patterns) for particular neuron types, rather than the connectivity itself, may be stored. Using the stored information, synapses may be computed on the fly, thereby reducing memory consumption and increasing memory bandwidth. This also saves time during artificial nervous system updates.

    Abstract translation: 提供了用于基于连通性模式确定人造神经系统中的突触的方法和装置。 一个示例性方法通常包括为人造神经元确定已经发生事件; 基于事件，基于与人造神经元相关联的连接模式，确定与其他人造神经元的一个或多个突触; 并根据确定的突触将人造神经元的尖峰应用于其他人造神经元。 以这种方式，可以存储用于特定神经元类型而不是连接本身的连接模式（或用于确定这种模式的参数）。 使用存储的信息，可以即时计算突触，从而减少内存消耗并增加内存带宽。 这也节省了人造神经系统更新中的时间。

    EVENT-BASED SPATIAL TRANSFORMATION
    4.
    发明申请
    EVENT-BASED SPATIAL TRANSFORMATION 有权
    基于事件的空间转换

    公开(公告)号：US20160078001A1

    公开(公告)日：2016-03-17

    申请号：US14855351

    申请日：2015-09-15

    Applicant: QUALCOMM Incorporated

    Inventor： Xin WANG ,  Manu RASTOGI ,  Venkat RANGAN ,  William Howard CONSTABLE

    IPC: G06F17/14 ,  G06F17/16

    CPC classification number: G06F17/141 ,  G06K9/20 ,  G06K9/522

    Abstract: A method for computing a spatial Fourier transform for an event-based system includes receiving an asynchronous event output stream including one or more events from a sensor. The method further includes computing a discrete Fourier transform (DFT) matrix based on dimensions of the sensor. The method also includes computing an output based on the DFT matrix and applying the output to an event processor.

    Abstract translation: 一种用于计算基于事件的系统的空间傅里叶变换的方法包括从传感器接收包括一个或多个事件的异步事件输出流。 该方法还包括基于传感器的尺寸计算离散傅立叶变换（DFT）矩阵。 该方法还包括基于DFT矩阵计算输出并将该输出应用于事件处理器。

    EVENT-BASED DOWN SAMPLING
    5.
    发明申请
    EVENT-BASED DOWN SAMPLING 有权
    基于事件的向下采样

    公开(公告)号：US20160080670A1

    公开(公告)日：2016-03-17

    申请号：US14853991

    申请日：2015-09-14

    Applicant: QUALCOMM Incorporated

    Inventor： Venkat RANGAN ,  William Howard CONSTABLE ,  Xin WANG ,  Manu RASTOGI

    IPC: H04N5/341 ,  H04N5/374

    CPC classification number: H04N5/341 ,  G06F17/10 ,  G06K9/00 ,  G06K9/00771 ,  G06K9/6857 ,  G06N3/063 ,  H04N5/374

    Abstract: A method of event-based down sampling includes receiving multiple sensor events corresponding to addresses and time stamps. The method further includes spatially down sampling the addresses based on the time stamps and the addresses. The method may also include updating a pixel value for each of the multiple sensor events based on the down sampling.

    Abstract translation: 基于事件的下采样的方法包括接收与地址和时间戳对应的多个传感器事件。 该方法还包括基于时间戳和地址对地址进行空间下采样。 该方法还可以包括基于下采样来更新多个传感器事件中的每一个的像素值。

    IMPLEMENTING SYNAPTIC LEARNING USING REPLAY IN SPIKING NEURAL NETWORKS
    7.
    发明申请
    IMPLEMENTING SYNAPTIC LEARNING USING REPLAY IN SPIKING NEURAL NETWORKS 审中-公开
    使用复制神经网络实现重复学习

    公开(公告)号：US20150134582A1

    公开(公告)日：2015-05-14

    申请号：US14494681

    申请日：2014-09-24

    Applicant: QUALCOMM Incorporated

    Inventor： Jeffrey Alexander LEVIN ,  Venkat RANGAN ,  Erik Christopher MALONE

    IPC: G06N3/08 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/049

    Abstract: Aspects of the present disclosure relate to methods and apparatus for training an artificial nervous system. According to certain aspects, timing of spikes of an artificial neuron during a training iteration are recorded, the spikes of the artificial neuron are replayed according to the recorded timing, during a subsequent training iteration, and parameters associated with the artificial neuron are updated based, at least in part, on the subsequent training iteration.

    Abstract translation: 本公开的方面涉及用于训练人造神经系统的方法和装置。 根据某些方面，记录在训练迭代期间人造神经元的尖峰时间，在随后的训练迭代期间根据所记录的定时重播人造神经元的尖峰，并且基于人造神经元相关参数进行更新， 至少部分地在随后的训练迭代中。

    METHODS AND APPARATUS FOR IMPLEMENTING A BREAKPOINT DETERMINATION UNIT IN AN ARTIFICIAL NERVOUS SYSTEM
    8.
    发明申请
    METHODS AND APPARATUS FOR IMPLEMENTING A BREAKPOINT DETERMINATION UNIT IN AN ARTIFICIAL NERVOUS SYSTEM 有权
    在人工神经系统中实现断点确定单元的方法和装置

    公开(公告)号：US20150066826A1

    公开(公告)日：2015-03-05

    申请号：US14281118

    申请日：2014-05-19

    Applicant: QUALCOMM INCORPORATED

    Inventor： Michael-David Nakayoshi CANOY ,  William Richard BELL, II ,  Ramakrishna KINTADA ,  Venkat RANGAN

    IPC: G06N3/06 ,  G06N3/08

    CPC classification number: G06N3/10 ,  G06F11/302 ,  G06F11/3636 ,  G06N3/049 ,  G06N3/08

    Abstract: Methods and apparatus are provided for using a breakpoint determination unit to examine an artificial nervous system. One example method generally includes operating at least a portion of the artificial nervous system; using the breakpoint determination unit to detect that a condition exists based at least in part on monitoring one or more components in the artificial nervous system; and at least one of suspending, examining, modifying, or flagging the operation of the at least the portion of the artificial nervous system, based at least in part on the detection.

    Abstract translation: 提供了使用断点确定单元来检查人造神经系统的方法和装置。 一个示例性方法通常包括操作人造神经系统的至少一部分; 使用所述断点确定单元至少部分地基于监视所述人造神经系统中的一个或多个组件来检测状况存在; 以及至少部分地基于所述检测来暂停，检查，修改或标记所述至少所述人造神经系统的所述部分的操作中的至少一个。

    IMPLEMENTING DELAYS BETWEEN NEURONS IN AN ARTIFICIAL NERVOUS SYSTEM
    10.
    发明申请
    IMPLEMENTING DELAYS BETWEEN NEURONS IN AN ARTIFICIAL NERVOUS SYSTEM 审中-公开
    在人造神经系统中实施神经元之间的延迟

    公开(公告)号：US20150046381A1

    公开(公告)日：2015-02-12

    申请号：US14084342

    申请日：2013-11-19

    Applicant: QUALCOMM Incorporated

    Inventor： Erik Christopher MALONE ,  Venkat RANGAN ,  Jeffrey Alexander LEVIN

    IPC: G06N3/02

    CPC classification number: G06N3/02 ,  G06N3/049

    Abstract: Methods and apparatus are provided for implementing delays in an artificial nervous system. Synaptic and/or axonal delays between a post-synaptic artificial neuron and one or more pre-synaptic artificial neurons may be accounted for at the post-synaptic artificial neuron. One example method for managing delay between neurons in an artificial nervous system generally includes receiving, at a post-synaptic artificial neuron, input current values from one or more pre-synaptic artificial neurons; accounting for delays between the one or more pre-synaptic artificial neurons and the post-synaptic artificial neuron at the post-synaptic artificial neuron; and determining a state of the post-synaptic artificial neuron based at least in part on at least a portion of the input current values, according to the accounting.

    Abstract translation: 提供了用于在人造神经系统中实施延迟的方法和装置。 突触后人工神经元和一个或多个突触前人工神经元之间的突触和/或轴突延迟可以在突触后人造神经元中被考虑。 用于管理人造神经系统中的神经元之间的延迟的一个示例性方法通常包括在突触后人造神经元处接收来自一个或多个突触前人造神经元的输入电流值; 考虑到在突触后人造神经元之间的一个或多个突触前人造神经元和突触后人造神经元之间的延迟; 以及至少部分地基于所述输入当前值的至少一部分来确定所述突触后人造神经元的状态。

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