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</style></head><body><header><div class="heading"><h1>clortex patch</h1><h3>Primary Implementation of CLA</h3><hr /><div class="info"><h5>Author: Fergal Byrne<b> <a href="mailto:fergalbyrnedublin@gmail.com">(fergalbyrnedublin@gmail.com)</a></b></h5><h5>Library: v0.1.1-SNAPSHOT</h5><h5>Date: 18 July 2014</h5><h5>Website: <a href="https://github.com/fergalbyrne/clortex">https://github.com/fergalbyrne/clortex</a></h5><h5>Generated By: <a href="http://www.github.com/zcaudate/lein-midje-doc">MidjeDoc</a></h5></div><br /><hr /></div><h4><a href="#introduction">1 Introduction</a></h4><h5> <i><a href="#design">1.1 Design</a></i></h5><br /></header><section><div class="heading"><h1>clortex patch</h1><h3>Primary Implementation of CLA</h3><hr /><div class="info"><h5>Author: Fergal Byrne<b> <a href="mailto:fergalbyrnedublin@gmail.com">(fergalbyrnedublin@gmail.com)</a></b></h5><h5>Library: v0.1.1-SNAPSHOT</h5><h5>Date: 18 July 2014</h5><h5>Website: <a href="https://github.com/fergalbyrne/clortex">https://github.com/fergalbyrne/clortex</a></h5><h5>Generated By: <a href="http://www.github.com/zcaudate/lein-midje-doc">MidjeDoc</a></h5></div><br /><hr /></div><div><a name="introduction"></a><h2><b>1 Introduction</b></h2></div><div><p>The <code>patch</code> in <code>clortex</code> is the core component of the Cortical Learning Algorithm and thus of Hierarchical Temporal Memory. The theory talks about Regions (as does NuPIC) and Layers, but <code>clortex</code> uses <code>patch</code> to stand for either a single-layer Region or a Layer in a multi-layer Region. What defines a <code>patch</code> is that it contains a set of neurons and it communicates with other components in <code>clortex</code> (such as sensors, classifiers and other patches in a Region or hierarchy).</p></div><div><a name="design"></a><h3>1.1 Design</h3></div><div><p></p><p>Each <code>patch</code> has a <strong>feedforward</strong> vector of input lines, on which incoming signals impinge. Neurons in the patch are connected via their proximal dendrites to the signals on this vector. The <code>patch</code> also has a vector of <strong>activation</strong> and <strong>prediction</strong> output lines which show the current state of the neurons. </p><p>The state of a patch is </p></div></section></body><script type="text/javascript">var metas = document.getElementsByTagName('meta');
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