Structural plasticity in spiking neural networks with symmetric dual of an electronic neuron
    11.
    发明授权
    Structural plasticity in spiking neural networks with symmetric dual of an electronic neuron 有权
    电子神经元对称双重神经网络的结构可塑性

    公开(公告)号:US08712940B2

    公开(公告)日:2014-04-29

    申请号:US13149733

    申请日:2011-05-31

    Abstract: A neural system comprises multiple neurons interconnected via synapse devices. Each neuron integrates input signals arriving on its dendrite, generates a spike in response to the integrated input signals exceeding a threshold, and sends the spike to the interconnected neurons via its axon. The system further includes multiple noruens, each noruen is interconnected via the interconnect network with those neurons that the noruen's corresponding neuron sends its axon to. Each noruen integrates input spikes from connected spiking neurons and generates a spike in response to the integrated input spikes exceeding a threshold. There can be one noruen for every corresponding neuron. For a first neuron connected via its axon via a synapse to dendrite of a second neuron, a noruen corresponding to the second neuron is connected via its axon through the same synapse to dendrite of the noruen corresponding to the first neuron.

    Abstract translation: 神经系统包括通过突触装置相互连接的多个神经元。 每个神经元将输入信号整合到其树突上,响应于超过阈值的积分输入信号产生尖峰,并通过其轴突将尖峰发送到相互连接的神经元。 该系统还包括多个诺基因,每个诺纶通过互连网络与诺基因对应的神经元发送其轴突的那些神经元相互连接。 每个noruen集成了来自连接的尖峰神经元的输入尖峰,并响应超过阈值的积分输入尖峰产生尖峰。 每个相应的神经元可以有一个noruen。 对于通过其轴突通过突触连接到第二神经元的树突的第一神经元,通过其轴突将对应于第二神经元的诺华通过相同的突触连接到对应于第一神经元的诺华诺的树突。

    Electronic learning synapse with spike-timing dependent plasticity using memory-switching elements
    12.
    发明授权
    Electronic learning synapse with spike-timing dependent plasticity using memory-switching elements 有权
    使用存储器开关元件的具有尖峰时序依赖性塑性的电子学习突触

    公开(公告)号:US08682822B2

    公开(公告)日:2014-03-25

    申请号:US13527043

    申请日:2012-06-19

    CPC classification number: G06N3/049 G06N3/0635

    Abstract: A system, method and computer program product produce spike-dependent plasticity in an artificial synapse. A method includes: an electronic device generating a pre-synaptic pulse that occurs a predetermined period of time after receiving a pre-synaptic spike at a first input. The electronic device generating a post-synaptic pulse that starts at a baseline value and reaches a first voltage value a first period of time after receiving a post-synaptic spike at a second input, followed by a second voltage value a second period of time after the post synaptic spike, followed by a return to said baseline voltage a third period of time after the post-synaptic spike. The generated pre-synaptic pulse is applied to a pre-synaptic node of a synaptic device in series with a rectifying element that has a turn-on voltage based on a threshold. The generated post-synaptic pulse is applied to a post-synaptic node of said synaptic device.

    Abstract translation: 系统,方法和计算机程序产品在人造突触中产生尖峰依赖的可塑性。 一种方法包括:电子装置,其在接收到在第一输入端的突触前尖峰之前产生预定时间段的预触发脉冲。 所述电子设备产生突触后脉冲,其在基线值开始并在第二输入接收到突触后尖峰之后的第一时间段达到第一电压值,之后是在第二时间段之后的第二电压值 后突触尖峰,之后是在突触后尖峰之后的第三个时间段内返回到所述基线电压。 产生的突触前脉冲被施加到突触装置的突触前节点,其与具有基于阈值的导通电压的整流元件串联。 产生的突触后脉冲被施加到所述突触装置的突触后节点。

    STRUCTURAL PLASTICITY IN SPIKING NEURAL NETWORKS WITH SYMMETRIC DUAL OF AN ELECTRONIC NEURON

    公开(公告)号:US20140081893A1

    公开(公告)日:2014-03-20

    申请号:US13149733

    申请日:2011-05-31

    Abstract: A neural system comprises multiple neurons interconnected via synapse devices. Each neuron integrates input signals arriving on its dendrite, generates a spike in response to the integrated input signals exceeding a threshold, and sends the spike to the interconnected neurons via its axon. The system further includes multiple noruens, each noruen is interconnected via the interconnect network with those neurons that the noruen's corresponding neuron sends its axon to. Each noruen integrates input spikes from connected spiking neurons and generates a spike in response to the integrated input spikes exceeding a threshold. There can be one noruen for every corresponding neuron. For a first neuron connected via its axon via a synapse to dendrite of a second neuron, a noruen corresponding to the second neuron is connected via its axon through the same synapse to dendrite of the noruen corresponding to the first neuron.

    MIXER SENSORS AND METHODS FOR USING SAME
    14.
    发明申请
    MIXER SENSORS AND METHODS FOR USING SAME 有权
    混合器传感器及其使用方法

    公开(公告)号:US20140033803A1

    公开(公告)日:2014-02-06

    申请号:US14111809

    申请日:2012-05-01

    Abstract: Apparatuses for measuring rheological properties of fluids and methods for using same are provided. In a general embodiment, the present disclosure provides a mixer sensor that is configured to be attached to a rheometer drive head and used to measure rheological properties of a fluid having particulates over a wide range of temperatures and shear rates. Apparatuses capable of obtaining rheological data of a fluid having particulates over a wide range of temperatures and shear rates provides for more precise rheological measurements. The temperatures may be very high temperatures that exceed 100° C., and the shear rates may includes a range of shear rates that are typically found in a processing pipeline system.

    Abstract translation: 提供了用于测量流体流变特性的装置及其使用方法。 在一般实施例中,本公开提供了一种混合器传感器,其配置为附接到流变仪驱动头,并用于测量在宽的温度和剪切速率范围内具有微粒的流体的流变性质。 能够在宽范围的温度和剪切速率下获得具有微粒的流体流变学数据的装置提供更精确的流变学测量。 温度可以是超过100℃的非常高的温度,并且剪切速率可以包括通常在处理管线系统中发现的一定范围的剪切速率。

    MULTI-MODAL NEURAL NETWORK FOR UNIVERSAL, ONLINE LEARNING
    16.
    发明申请
    MULTI-MODAL NEURAL NETWORK FOR UNIVERSAL, ONLINE LEARNING 有权
    多模式神经网络通用,在线学习

    公开(公告)号:US20130159229A1

    公开(公告)日:2013-06-20

    申请号:US13325321

    申请日:2011-12-14

    CPC classification number: G06N3/08 G06N3/04

    Abstract: In one embodiment, the present invention provides a neural network comprising multiple modalities. Each modality comprises multiple neurons. The neural network further comprises an interconnection lattice for cross-associating signaling between the neurons in different modalities. The interconnection lattice includes a plurality of perception neuron populations along a number of bottom-up signaling pathways, and a plurality of action neuron populations along a number of top-down signaling pathways. Each perception neuron along a bottom-up signaling pathway has a corresponding action neuron along a reciprocal top-down signaling pathway. An input neuron population configured to receive sensory input drives perception neurons along a number of bottom-up signaling pathways. A first set of perception neurons along bottom-up signaling pathways drive a first set of action neurons along top-down signaling pathways. Action neurons along a number of top-down signaling pathways drive an output neuron population configured to generate motor output.

    Abstract translation: 在一个实施例中,本发明提供一种包括多种模态的神经网络。 每个模式包括多个神经元。 神经网络还包括用于以不同模态交叉关联神经元之间的信令的互连网格。 互连晶格包括沿着多个自下而上的信号通路的多个感知神经元群体,以及沿许多自上而下信号通路的多个动作神经元群体。 沿着自下而上的信号通路的每个感知神经元沿着互倒的自上而下的信号通路具有相应的动作神经元。 配置为接收感觉输入的输入神经元群沿着许多自下而上的信号通路驱动感知神经元。 沿着自下而上信号通路的第一组感知神经元沿着上下信号通路驱动第一组动作神经元。 沿着多个自上而下信号通路的动作神经元驱动配置成产生电动机输出的输出神经元群体。

    Electronic synapse
    17.
    发明授权
    Electronic synapse 有权
    电子突触

    公开(公告)号:US08463723B2

    公开(公告)日:2013-06-11

    申请号:US12395693

    申请日:2009-03-01

    CPC classification number: G06N3/0635

    Abstract: An electronic synapse device is provided. One embodiment of the invention includes a metastable switching synaptic device. Changing conductance of the metastable switching synaptic device occurs by receiving opposite signed first and second voltage pulses at the metastable switching synaptic device where magnitude of the first voltage pulse and the second voltage pulse each are below a switching voltage magnitude threshold. A magnitude difference between the first voltage pulse and the second voltage pulse exceeds the switching voltage magnitude threshold by an amount, wherein the amount is a function of a relative timing between the first voltage pulse and the second voltage pulse.

    Abstract translation: 提供电子突触装置。 本发明的一个实施例包括亚稳态切换突触装置。 通过在亚稳切换突触装置处接收相反的有符号的第一和第二电压脉冲,其中第一电压脉冲和第二电压脉冲的大小低于开关电压幅度阈值,来改变亚稳切换突触装置的电导。 第一电压脉冲和第二电压脉冲之间的幅度差超过开关电压幅度阈值一个量,其中该量是第一电压脉冲和第二电压脉冲之间的相对定时的函数。

    HIGH DENSITY MULTI-ELECTRODE ARRAY
    19.
    发明申请
    HIGH DENSITY MULTI-ELECTRODE ARRAY 审中-公开
    高密度多电极阵列

    公开(公告)号:US20130134546A1

    公开(公告)日:2013-05-30

    申请号:US13307608

    申请日:2011-11-30

    Abstract: A method includes forming one or more trenches in a substrate; lining the one or more trenches with a dielectric liner; filling the one or more trenches with a conductive electrode to form one or more trench electrodes; forming a transistor layer on the substrate; connecting each of the one or more trench electrodes to at least one access transistor in the transistor layer; and thinning the substrate to expose at least a portion of each of the trench electrodes.

    Abstract translation: 一种方法包括在衬底中形成一个或多个沟槽; 用介电衬垫衬一个或多个沟槽; 用导电电极填充一个或多个沟槽以形成一个或多个沟槽电极; 在所述基板上形成晶体管层; 将所述一个或多个沟槽电极中的每一个连接到所述晶体管层中的至少一个存取晶体管; 以及使基板变薄以暴露每个沟槽电极的至少一部分。

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