HTM-MAT Minimalist HTM Cortical Learning Algorithm

Version 1.0 (469 KB) by EN Osegi
A framework for implementing Numenta Hierarchical Temporal Memory (HTM)
3.0
(2)
584 Downloads
Updated 19 Apr 2017

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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 (2024). HTM-MAT Minimalist HTM Cortical Learning Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/51968-htm-mat-minimalist-htm-cortical-learning-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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HTM-MATv1.0/

Version Published Release Notes
3.0.0.0

Added function for computing Mean Absolute Percentage Error (MAPE), finer code and more datasets etc..
2.0.0.0

This submission uses a more efficient and less complex sparse representation than the original CLA implementation.
This submission uses a more efficient and less complex sparse representation than the original CLA implementation.
1.0

HTM Toolbox for MATLAB