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	<title>Neurobot &#187; Sparse neurons</title>
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		<title>Dominant-Sets clustering for spike sorting</title>
		<link>http://neurobot.bio.auth.gr/2013/dominant-sets-clustering-for-spike-sorting/</link>
		<comments>http://neurobot.bio.auth.gr/2013/dominant-sets-clustering-for-spike-sorting/#comments</comments>
		<pubDate>Wed, 30 Jan 2013 20:46:48 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Sparse neurons]]></category>
		<category><![CDATA[Spike Sorting]]></category>

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		<description><![CDATA[The decision about the actual number of active neurons is an open issue in spike sorting, with sparsely firing neurons and background activity the most influencing factors. Dominant-sets clustering algorithm is a graph-theoretical algorithmic procedure that successfully addresses this issue. The quality of grouping in the data is evaluated with the estimation of &#8216;cohesiveness&#8217;, i.e. [...]]]></description>
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		<title>Using ISOMAP algorithm for feature extraction in spike sorting</title>
		<link>http://neurobot.bio.auth.gr/2013/using-isomap-algorithm-for-feature-extraction-in-spike-sorting/</link>
		<comments>http://neurobot.bio.auth.gr/2013/using-isomap-algorithm-for-feature-extraction-in-spike-sorting/#comments</comments>
		<pubDate>Wed, 30 Jan 2013 20:02:43 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Sparse neurons]]></category>
		<category><![CDATA[Spike Sorting]]></category>

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		<description><![CDATA[Background noise and spike overlap pose problems in contemporary spike-sorting strategies. The (non-linear) isometric feature mapping (ISOMAP) technique reveals the intrinsic data structure and helps with recognising the involved neurons. To reproduce this tutorial in MATLAB you will need : 1. ISOMAP source code for MATLAB (for more information and updated version see here: http://isomap.stanford.edu) [...]]]></description>
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		<title>In quest of the missing neuron: Spike sorting based on dominant-sets clustering</title>
		<link>http://neurobot.bio.auth.gr/2012/in-quest-of-the-missing-neuron-spike-sorting-based-on-dominant-sets-clustering/</link>
		<comments>http://neurobot.bio.auth.gr/2012/in-quest-of-the-missing-neuron-spike-sorting-based-on-dominant-sets-clustering/#comments</comments>
		<pubDate>Wed, 12 Sep 2012 11:18:51 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[neural recordings]]></category>
		<category><![CDATA[Sparse neurons]]></category>
		<category><![CDATA[Spike Sorting]]></category>

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		<description><![CDATA[Spike sorting algorithms aim at decomposing complex extracellular signals to independent events from single neurons in the electrode&#8217;s vicinity. The decision about the actual number of active neurons is still an open issue, with sparsely firing neurons and background activity the most influencing factors. We introduce a graph-theoretical algorithmic procedure that successfully resolves this issue. Dimensionality [...]]]></description>
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