floybix.github.io

fxai

Explorations into Computational Intelligence. Raquo; Attempting the Numenta Anomaly Benchmark. Raquo; Sequence replay in HTM. Raquo; The taming of the SDR. Raquo; Local inhibition algorithm. Raquo; HTM protocols. Raquo; Hackathon demo: cortical.io encoder. Raquo; Learning Simple Sentences. Raquo; Temporal Pooling of Isolated Sequences. Raquo; Temporal Pooling Mechanism. Raquo; Visualization Driven Development of the Cortical Learning Algorithm. Raquo; The General Idea.

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fxai | floybix.github.io Reviews

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Explorations into Computational Intelligence. Raquo; Attempting the Numenta Anomaly Benchmark. Raquo; Sequence replay in HTM. Raquo; The taming of the SDR. Raquo; Local inhibition algorithm. Raquo; HTM protocols. Raquo; Hackathon demo: cortical.io encoder. Raquo; Learning Simple Sentences. Raquo; Temporal Pooling of Isolated Sequences. Raquo; Temporal Pooling Mechanism. Raquo; Visualization Driven Development of the Cortical Learning Algorithm. Raquo; The General Idea.

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fxai | floybix.github.io Reviews

https://floybix.github.io

Explorations into Computational Intelligence. Raquo; Attempting the Numenta Anomaly Benchmark. Raquo; Sequence replay in HTM. Raquo; The taming of the SDR. Raquo; Local inhibition algorithm. Raquo; HTM protocols. Raquo; Hackathon demo: cortical.io encoder. Raquo; Learning Simple Sentences. Raquo; Temporal Pooling of Isolated Sequences. Raquo; Temporal Pooling Mechanism. Raquo; Visualization Driven Development of the Cortical Learning Algorithm. Raquo; The General Idea.

INTERNAL PAGES

floybix.github.io

1

HTM protocols

http://floybix.github.io/2014/11/05/htm-protocols

In which I explain two of the central abstractions in Comportex (my HTM project). Firstly the decomposition of a time step into activation, learning, and depolarisation phases across an HTM network. Secondly the interface for working with synapse connection graphs. I need to know if my abstractions have problems, before I go further down the road of building on them. Also, they may help others to think about HTM in software. In Clojure, protocols. I would like to focus on two protocols. Eventually I star...

2

Tags

http://floybix.github.io/tags.html

Temporal Pooling of Isolated Sequences. Visualization Driven Development of the Cortical Learning Algorithm. The taming of the SDR. Hackathon demo: cortical.io encoder. Temporal Pooling of Isolated Sequences. Visualization Driven Development of the Cortical Learning Algorithm. Temporal Pooling of Isolated Sequences. Hackathon demo: cortical.io encoder. Attempting the Numenta Anomaly Benchmark.

3

Hackathon demo: cortical.io encoder

http://floybix.github.io/2014/10/27/hackathon_demo

Hackathon demo: cortical.io encoder. Last weekend I joined Numenta’s Fall 2014 Hackathon. A fantastic event. It underscores Numenta’s approach of being totally open with their work and supportive of the community. It feels like we are at the cusp of a revolution, where a few more good ideas will really make this thing fly. So it was inspiring to hear from Jeff Hawkins about the current challenges, and to see Chetan and Yuwei’s brilliant demonstration of temporal pooling in action. I use Clojure. But ...

4

Learning Simple Sentences

http://floybix.github.io/2014/10/15/learning-simple-sentences

In which I make an interactive demo of word sequence learning with HTM, with an eye to how generalisation might happen. I find some generalisation through word representations mixing their feed-forward receptive fields. This occurs because I bias column activations to depolarised cells. Of course this is only a superficial start at looking at generalisation. On Rob Freeman’s insistence. Jane has eyes . Jane has a head . Jane has a mouth . Jane has a brain . Jane has a book . Jane has ...Although these se...

5

Local inhibition algorithm

http://floybix.github.io/2014/11/13/local-inhibition

In which I propose and demonstrate a new local inhibition algorithm for HTM that seems more natural than existing methods. I attempt to model the waves of inhibition around firing neurons. A target level of sparsity is maintained by an adaptive control on the stimulus threshold parameter. One could imagine other formulations and I look forward to hearing other ideas. On firing trigger a wave of inhibition in the surrounding area. Inhibition algorithms in NuPIC. The local inhibition algorithm in NuPIC.

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fxai

Explorations into Computational Intelligence. Raquo; Attempting the Numenta Anomaly Benchmark. Raquo; Sequence replay in HTM. Raquo; The taming of the SDR. Raquo; Local inhibition algorithm. Raquo; HTM protocols. Raquo; Hackathon demo: cortical.io encoder. Raquo; Learning Simple Sentences. Raquo; Temporal Pooling of Isolated Sequences. Raquo; Temporal Pooling Mechanism. Raquo; Visualization Driven Development of the Cortical Learning Algorithm. Raquo; The General Idea.

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