Algorithms

There are several components to an HTM system:

1. encoding data into SDR using Encoders
2. passing encoded data through the SpatialPooler
3. running TemporalMemory over the Spatial Pooler’s active columns
4. extracting predictions using a Classifier
5. extracting anomalies using Anomaly and AnomalyLikelihood.

Each of these components can be run independently of each other. The only communication between the are binary arrays (SDRs) representing cell activations. Spatial representations are maintained within the proximal synapse permanences between the Spatial Pooler’s columns and the input space. Temporal representations are maintained within the distal synapse permanences between the cells in the Temporal Memory representation.

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Contents:

• Encoders
  • Base Encoder
  • Encoder Result
  • Category Encoders
  • Scalar Encoders
  • Date Encoder
  • Coordinate Encoders
  • Multi Encoder
  • Pass Through Encoders
• Spatial Pooling
• Sequence Memory
  • Temporal Memory
  • Backtracking Temporal Memory
  • C++ Backtracking Temporal Memory
  • Connections
• Classifiers
  • SDR Classifier
  • KNN Classifier
• Anomaly Detection
  • Anomaly
  • AnomalyLikelihood
    • USAGE
    • Low-Level Function Usage
    • PARAMS