首页> 外国专利> METHODS FOR IDENTIFICATION USING DISTRIBUTED TEMPORAL NEURAL NETS - PRACTICAL CROWD SOURCED TEMPORAL NEURAL SYSTEM

METHODS FOR IDENTIFICATION USING DISTRIBUTED TEMPORAL NEURAL NETS - PRACTICAL CROWD SOURCED TEMPORAL NEURAL SYSTEM

机译:分布式时间神经网络识别方法 - 实用人群源时间神经系统

摘要

A network of contributing and collecting temporal state-machine neurons, the state-machine neurons manifested as a physical machine deployed on a plurality of networked computing devices. The temporal neurons adapt their firing behavior based on the temporal pattern of their received inputs, the firings of contributing neurons. The temporal neurons fire based on received inputs received within a defined temporal period. In one example, the temporal position of the inputs are adjusted, based on earlier inputs received within the defined temporal period. In one example, the temporal positions of the inputs, the firings, are progressively adjusted so as to eventually align their firings occurring within the defined temporal window. A cluster of neurons is packaged into a data structure of information on neuron connections, the delay factors to adjust the temporal positions, defined temporal period, and firing threshold information, which becomes portable for transmission and use elsewhere.
机译:贡献和收集时间状态机神经元的网络,状态机神经元作为部署在多个网络化计算设备上的物理机器。颞神经元根据所接受输入的时间模式,促进神经元的次燃烧来调整它们的射击行为。颞神经元基于在定义的时间时段内收到的接收输入。在一个示例中,基于在定义的时间段内接收的早期输入来调整输入的时间位置。在一个示例中,输入的时间位置是逐步调整次次的次次的情况下,以便最终对准其在定义的时间窗口内发生的次次。将一群神经元包装成关于神经元连接的信息的数据结构,延迟因素调整时间位置,定义的时间时段和射击阈值信息,这变得可移植和在其他地方的其他位置。

著录项

  • 公开/公告号US2021397958A1

    专利类型

  • 公开/公告日2021-12-23

    原文格式PDF

  • 申请/专利权人 CHARLES SARON KNOBLOCH;

    申请/专利号US202117352613

  • 发明设计人 CHARLES SARON KNOBLOCH;

    申请日2021-06-21

  • 分类号G06N3/08;G06N3/04;

  • 国家 US

  • 入库时间 2022-08-24 22:59:19

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