CANONICAL SPIKING NEURON NETWORK FOR SPATIOTEMPORAL ASSOCIATIVE MEMORY

    公开(公告)号:US20120109863A1

    公开(公告)日:2012-05-03

    申请号:US12828091

    申请日:2010-06-30

    IPC分类号: G06N3/063 G06N3/08

    CPC分类号: G06N3/049 G06N3/063 G06N3/08

    摘要: Embodiments of the invention relate to canonical spiking neurons for spatiotemporal associative memory. An aspect of the invention provides a spatiotemporal associative memory including a plurality of electronic neurons having a layered neural net relationship with directional synaptic connectivity. The plurality of electronic neurons configured to detect the presence of a spatiotemporal pattern in a real-time data stream, and extract the spatiotemporal pattern. The plurality of electronic neurons are further configured to, based on learning rules, store the spatiotemporal pattern in the plurality of electronic neurons, and upon being presented with a version of the spatiotemporal pattern, retrieve the stored spatiotemporal pattern.

    CANONICAL SPIKING NEURON NETWORK FOR SPATIOTEMPORAL ASSOCIATIVE MEMORY
    3.
    发明申请
    CANONICAL SPIKING NEURON NETWORK FOR SPATIOTEMPORAL ASSOCIATIVE MEMORY 审中-公开
    经典SPIKING神经网络的空间相关记忆

    公开(公告)号:US20120330872A1

    公开(公告)日:2012-12-27

    申请号:US13598915

    申请日:2012-08-30

    IPC分类号: G06N3/08

    CPC分类号: G06N3/049 G06N3/063 G06N3/08

    摘要: Embodiments of the invention relate to canonical spiking neurons for spatiotemporal associative memory. An aspect of the invention provides a spatiotemporal associative memory including a plurality of electronic neurons having a layered neural net relationship with directional synaptic connectivity. The plurality of electronic neurons configured to detect the presence of a spatiotemporal pattern in a real-time data stream, and extract the spatiotemporal pattern. The plurality of electronic neurons are further configured to, based on learning rules, store the spatiotemporal pattern in the plurality of electronic neurons, and upon being presented with a version of the spatiotemporal pattern, retrieve the stored spatiotemporal pattern.

    摘要翻译: 本发明的实施例涉及用于时空关联记忆的规范加标神经元。 本发明的一个方面提供了包括具有与定向突触连通性的分层神经网络关系的多个电子神经元的时空相关存储器。 多个电子神经元被配置为检测实时数据流中的时空模式的存在,并提取时空模式。 多个电子神经元还被配置为基于学习规则将时空图案存储在多个电子神经元中,并且在呈现时空图案的版本时,检索存储的时空图案。

    Canonical spiking neuron network for spatiotemporal associative memory
    4.
    发明授权
    Canonical spiking neuron network for spatiotemporal associative memory 有权
    用于时空联想记忆的典型加标神经元网络

    公开(公告)号:US09524462B2

    公开(公告)日:2016-12-20

    申请号:US13598915

    申请日:2012-08-30

    CPC分类号: G06N3/049 G06N3/063 G06N3/08

    摘要: Embodiments of the invention relate to canonical spiking neurons for spatiotemporal associative memory. An aspect of the invention provides a spatiotemporal associative memory including a plurality of electronic neurons having a layered neural net relationship with directional synaptic connectivity. The plurality of electronic neurons configured to detect the presence of a spatiotemporal pattern in a real-time data stream, and extract the spatiotemporal pattern. The plurality of electronic neurons are further configured to, based on learning rules, store the spatiotemporal pattern in the plurality of electronic neurons, and upon being presented with a version of the spatiotemporal pattern, retrieve the stored spatiotemporal pattern.

    摘要翻译: 本发明的实施例涉及用于时空关联记忆的规范加标神经元。 本发明的一个方面提供了包括具有与定向突触连通性的分层神经网络关系的多个电子神经元的时空相关存储器。 多个电子神经元被配置为检测实时数据流中的时空模式的存在,并提取时空模式。 多个电子神经元还被配置为基于学习规则将时空图案存储在多个电子神经元中,并且在呈现时空图案的版本时,检索存储的时空图案。

    PHASE CHANGE MEMORY SYNAPTRONIC CIRCUIT FOR SPIKING COMPUTATION, ASSOCIATION AND RECALL
    5.
    发明申请
    PHASE CHANGE MEMORY SYNAPTRONIC CIRCUIT FOR SPIKING COMPUTATION, ASSOCIATION AND RECALL 审中-公开
    相位改变记忆同步电路,用于SPIKING计算,协调和调用

    公开(公告)号:US20120084240A1

    公开(公告)日:2012-04-05

    申请号:US12895710

    申请日:2010-09-30

    IPC分类号: G06N3/04

    CPC分类号: G06N3/063

    摘要: Embodiments of the invention are directed to producing spike-timing dependent plasticity using electronic neurons for computation, and pattern matching tasks such as association and recall. In response to an electronic neuron spiking, a spiking signal is sent from the electronic neuron to each axon driver and each dendrite driver connected to the spiking electronic neuron. Each axon driver receiving the spiking signal sends an axonal signal from the axon driver to a variable state resistor. Each dendrite driver receiving the spiking signal sends a dendritic signal from the dendrite driver to the variable state resistor, wherein the variable state resistor couples the axon driver and the dendrite driver. The combination of the axonal and dendritic signals is capable of increasing or decreasing conductance of the variable state resistor.

    摘要翻译: 本发明的实施例涉及使用用于计算的电子神经元和诸如关联和召回的模式匹配任务来产生尖峰时序相关的可塑性。 响应于电子神经元峰值,从电子神经元发送尖峰信号到每个轴突驱动器,并且每个枝晶驱动器连接到尖峰电子神经元。 接收尖峰信号的每个轴突驱动器将轴突信号从轴突驱动器发送到可变状态电阻器。 接收尖峰信号的每个枝晶驱动器将枝晶信号从枝晶驱动器发送到可变状态电阻器,其中可变状态电阻器耦合轴突驱动器和枝晶驱动器。 轴突和树突状信号的组合能够增加或降低可变状态电阻的电导。