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COMPUTATIONAL METHOD FOR FEEDBACK IN A HIERARCHICAL NEURAL NETWORK

机译:层次神经网络中的反馈计算方法

摘要

Feedback within hierarchical neural networks such as hierarchical temporal memories is provided. In various embodiments, a plurality of input streams is received at a first region of a hierarchical artificial neural network. The plurality of input streams is pooled in the first region. One or more recurrent features are identified in the pooled input streams in the first region. A temporal pattern is recognized in the one or more recurrent features in the first region. An indication of the temporal pattern is provided to at least a second region of the hierarchical neural network. A response to a further input is modulated based on feedback from the second region and at least one additional region.
机译:提供了分层神经网络(例如分层时间记忆)内的反馈。在各个实施例中,在分级人工神经网络的第一区域处接收多个输入流。多个输入流汇集在第一区域中。在第一区域中的合并输入流中标识一个或多个循环特征。在第一区域中的一个或多个循环特征中识别出时间模式。时间模式的指示被提供给分层神经网络的至少第二区域。基于来自第二区域和至少一个附加区域的反馈来调制对另一输入的响应。

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