Search Results for author: Jeff Hawkins

Found 4 papers, 1 papers with code

How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites

no code implementations5 Jan 2016 Subutai Ahmad, Jeff Hawkins

Our model is inspired by recent experimental findings on active dendritic processing and NMDA spikes in pyramidal neurons.

Continuous online sequence learning with an unsupervised neural network model

no code implementations17 Dec 2015 Yuwei Cui, Subutai Ahmad, Jeff Hawkins

In this paper, we analyze properties of HTM sequence memory and apply it to sequence learning and prediction problems with streaming data.

Anomaly Detection

Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex

1 code implementation31 Oct 2015 Jeff Hawkins, Subutai Ahmad

Given the similarity of excitatory neurons throughout the neocortex and the importance of sequence memory in inference and behavior, we propose that this form of sequence memory is a universal property of neocortical tissue.

Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory

no code implementations25 Mar 2015 Subutai Ahmad, Jeff Hawkins

Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns.

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