465 citations · 1.5k across the 12 of their papers we have counts for
5 papers · 1 filter
Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
The ability to recognize and predict temporal sequences of sensory inputs is vital for survival in natural environments. Based on many known properties of cortical neurons, hierarc…
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
Jeff Hawkins, Subutai Ahmad
Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this…
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark
Alexander Lavin, Subutai Ahmad
Much of the world's data is streaming, time-series data, where anomalies give significant information in critical situations; examples abound in domains such as finance, IT, securi…
Porting HTM Models to the Heidelberg Neuromorphic Computing Platform
Sebastian Billaudelle, Subutai Ahmad
Hierarchical Temporal Memory (HTM) is a computational theory of machine intelligence based on a detailed study of the neocortex. The Heidelberg Neuromorphic Computing Platform, dev…
Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory
Subutai Ahmad, Jeff Hawkins
Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns. This paper examines Sparse Distributed Representations (SD…