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Hierarchical temporal memory

Known as: CLA, Cortical Learning Algorithm, HTM 
Hierarchical temporal memory (HTM) is an unsupervised to semi-supervised online machine learning model developed by Jeff Hawkins and Dileep George of… Expand
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AlgorithmAnomaly detectionArtificial consciousnessArtificial general intelligence
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Feature extraction without learning in an analog spatial pooler memristive-CMOS circuit design of hierarchical temporal memory
Hierarchical temporal memory (HTM) is a neuromorphic algorithm that emulates sparsity, hierarchy and modularity resembling the… Expand
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2018
2018
Hierarchical Temporal Memory Features with Memristor Logic Circuits for Pattern Recognition
Hierarchical temporal memory (HTM) is a machine learning algorithm inspired by the information processing mechanisms of the human… Expand
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2017
2017
A Mathematical Formalization of Hierarchical Temporal Memory’s Spatial Pooler
Hierarchical temporal memory (HTM) is an emerging machine learning algorithm, with the potential to provide a means to perform… Expand
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2016
2016
Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection
Time-series-based anomaly detection is a quite important field that has been researched over years. Many techniques have been… Expand
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Highly Cited
2015
Highly Cited
2015
Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory
Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns. This… Expand
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2009
2009
Spoken Language Identication With Hierarchical Temporal Memories
The task of spoken language identification has enjoyed many promising approaches via machine learning and signal processing since… Expand
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Highly Cited
2008
Highly Cited
2008
How the brain might work: a hierarchical and temporal model for learning and recognition
The brains of mammals are very efficient learning machines. Many aspects of mammalian learning are yet to be incorporated into… Expand
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Highly Cited
2008
Highly Cited
2008
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social… Expand
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2008
2008
HTM: A Topic Model for Hypertexts
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were… Expand
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Highly Cited
2006
Highly Cited
2006
Hierarchical Temporal Memory Concepts , Theory , and Terminology
HTMs are unlike traditional programmable computers. With traditional computers, a programmer creates specific programs to solve… Expand
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