64 citations · 316 across the 28 of their papers we have counts for
3 papers · 1 filter
Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling
Lennard Streat, Dhireesha Kudithipudi, Kevin Gomez
Hierarchical Temporal Memory (HTM) is a biomimetic machine learning algorithm imbibing the structural and algorithmic properties of the neocortex. Two main functional components of…
Unsupervised Learning in Neuromemristive Systems
Cory Merkel, Dhireesha Kudithipudi
Neuromemristive systems (NMSs) currently represent the most promising platform to achieve energy efficient neuro-inspired computation. However, since the research field is less tha…
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler
James Mnatzaganian, Ernest Fokoué, Dhireesha Kudithipudi
Hierarchical temporal memory (HTM) is an emerging machine learning algorithm, with the potential to provide a means to perform predictions on spatiotemporal data. The algorithm, in…