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	<title>Neurobot &#187; Noise</title>
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	<description>A computational neuroscience and neuroinformatics blog</description>
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		<title>Spike sorting based on noise-assisted semi-supervised learning methodologies</title>
		<link>http://neurobot.bio.auth.gr/2012/spike-sorting-based-on-noise-assisted-semi-supervised-learning-methodologies/</link>
		<comments>http://neurobot.bio.auth.gr/2012/spike-sorting-based-on-noise-assisted-semi-supervised-learning-methodologies/#comments</comments>
		<pubDate>Sun, 08 Jan 2012 15:23:11 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Noise]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3076</guid>
		<description><![CDATA[SAN 2011 abstract in Neuroscience Letters 2011, vol. 500(Suppl.), e32-33.- DOI: http://dx.doi.org/10.1016/j.neulet.2011.05.161 Also, see presentation in SAN 2011]]></description>
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		<title>NASS: an empirical approach to spike sorting with overlap resolution based on a hybrid noise-assisted methodology</title>
		<link>http://neurobot.bio.auth.gr/2011/nass-an-empirical-approach-to-spike-sorting-with-overlap-resolution-based-on-a-hybrid-noise-assisted-methodology/</link>
		<comments>http://neurobot.bio.auth.gr/2011/nass-an-empirical-approach-to-spike-sorting-with-overlap-resolution-based-on-a-hybrid-noise-assisted-methodology/#comments</comments>
		<pubDate>Sat, 26 Feb 2011 07:39:05 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Noise]]></category>
		<category><![CDATA[Spike Sorting]]></category>

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		<description><![CDATA[Background noise and spike overlap pose problems in contemporary spike-sorting strategies. In this paper, both issues are addressed by a hybrid scheme that combines the robust representation of spike waveforms to facilitate the reliable identification of contributing neurons with efficient data learning to enable the precise decomposition of coactivations. A recently introduced manifold learning technique, [...]]]></description>
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		<title>What if Gaussian engineering is clear, simple and wrong?</title>
		<link>http://neurobot.bio.auth.gr/2010/what-if-gaussian-engineering-is-clear-simple-and-wrong/</link>
		<comments>http://neurobot.bio.auth.gr/2010/what-if-gaussian-engineering-is-clear-simple-and-wrong/#comments</comments>
		<pubDate>Wed, 01 Dec 2010 21:00:16 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Noise]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2693</guid>
		<description><![CDATA[R.W. Lucky discusses the Gaussian profile of our world in the November&#8217;s issue of IEEE Spectrum. Noise in neural systems usually carries a non-white complex correlated gaussian profile with higher power in low frequencies, due to synaptic coupling among neurons, superimposed field potentials etc. Furthermore, as it has already been argued for more than a [...]]]></description>
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