HTM-MAT Minimalist HTM Cortical Learning Algorithm
A framework for implementing Numenta Hierarchical Temporal Memory (HTM)
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A reusable framework for learning big data in an unsupervised and deep way. It is based on Human Cognitive Intelligence (HGI), sequences of sequences, predictive memory and can be applied to problems where data is largely unlabeled and non-linear. Typical uses include in image recognition, speech synthesis, and fraud detection
Cite As
EN Osegi (2026). HTM-MAT Minimalist HTM Cortical Learning Algorithm (https://in.mathworks.com/matlabcentral/fileexchange/51968-htm-mat-minimalist-htm-cortical-learning-algorithm), MATLAB Central File Exchange. Retrieved .
Acknowledgements
General Information
- Version 1.0 (469 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 3.0.0.0 | Added function for computing Mean Absolute Percentage Error (MAPE), finer code and more datasets etc.. |
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| 2.0.0.0 | This submission uses a more efficient and less complex sparse representation than the original CLA implementation.
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| 1.0 | HTM Toolbox for MATLAB |
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