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Anomaly detection in spatial and temporal memory system

  • US 9,412,067 B2
  • Filed: 08/29/2013
  • Issued: 08/09/2016
  • Est. Priority Date: 09/05/2012
  • Status: Active Grant
First Claim
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1. A method of detecting anomaly in a predictive system, comprising:

  • changing from a prior state of the predictive system to an updated state of the predictive system according to an input data received at a first time by at least activating or deactivating cells of the predictive system, the prior state of the predictive system indicating at least activation states of the cells before receiving the input data at the first time, the updated state of the predictive system indicating at least the activation states of the cells after receiving the input data at the first time;

    generating a prediction output by the predictive system by at least detecting the cells that are activated after receiving the input data at the first time, the prediction output representing a predicted value or state at a second time subsequent to the first time;

    storing at least the updated state of the predictive system;

    determining presence of an anomaly associated with the input data by at least comparing the predicted value or state corresponding to the predictive output with an actual value or state at the second time; and

    associating the anomaly with the stored state of the predictive system.

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