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	<title>Neurobot &#187; Machine Learning</title>
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	<link>http://neurobot.bio.auth.gr</link>
	<description>A computational neuroscience and neuroinformatics blog</description>
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		<title>Musical NeuroPicks: a consumer-grade BCI for on-demand music streaming services</title>
		<link>http://neurobot.bio.auth.gr/2017/musical-neuropicks-a-consumer-grade-bci-for-on-demand-music-streaming-services/</link>
		<comments>http://neurobot.bio.auth.gr/2017/musical-neuropicks-a-consumer-grade-bci-for-on-demand-music-streaming-services/#comments</comments>
		<pubDate>Thu, 07 Sep 2017 11:19:34 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[music recommendation]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3959</guid>
		<description><![CDATA[We investigated the possibility of using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener&#8217;s subjective experience of music into scores that can be used in popular on-demand music streaming services. Our study resulted into two variants, differing in terms of performance and execution time, and hence, subserving distinct applications in online [...]]]></description>
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		<title>Neuroengineering in action: hacking the brain to bypass the injured spine</title>
		<link>http://neurobot.bio.auth.gr/2016/neuroengineering-in-action-hacking-the-brain-to-bypass-the-injured-spine/</link>
		<comments>http://neurobot.bio.auth.gr/2016/neuroengineering-in-action-hacking-the-brain-to-bypass-the-injured-spine/#comments</comments>
		<pubDate>Wed, 13 Apr 2016 19:57:26 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Bionics]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neural recordings]]></category>
		<category><![CDATA[neuroprosthetics]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3796</guid>
		<description><![CDATA[Neuroscientists used a chronically implanted intracortical microelectrode array to record multiunit activity from the motor cortex and link in real-time to muscle activation to restore movement in a paralysed human. Read more @ Nature: - the full story: First paralysed person to be &#8216;reanimated&#8217; offers neuroscience insights - the scientific report (letter): Restoring cortical control [...]]]></description>
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		<title>A non-parametric prototyping scheme for LFP dynamics and its application to detect changes in spontaneous UP-states due to cortical maturation and aging</title>
		<link>http://neurobot.bio.auth.gr/2014/a-non-parametric-prototyping-scheme-for-lfp-dynamics-and-its-application-to-detect-changes-in-spontaneous-up-states-due-to-cortical-maturation-and-aging/</link>
		<comments>http://neurobot.bio.auth.gr/2014/a-non-parametric-prototyping-scheme-for-lfp-dynamics-and-its-application-to-detect-changes-in-spontaneous-up-states-due-to-cortical-maturation-and-aging/#comments</comments>
		<pubDate>Thu, 26 Jun 2014 22:42:39 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[LFP]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Statistical Analysis]]></category>
		<category><![CDATA[Trajectories]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3577</guid>
		<description><![CDATA[Spontaneous network activity in the form of Up and Down states plays an important role in the function of neural circuits and reflects intrinsic connectivity. Such cortical dynamics are shaped by genes, experience and intrinsic cellular properties and form the substrate upon which external stimuli and neuromodulation will impinge to determine cortical responses. The scope [...]]]></description>
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		<title>Postdoctoral Research Position at Carnegie Mellon University</title>
		<link>http://neurobot.bio.auth.gr/2012/postdoctoral-research-position-at-carnegie-mellon-university/</link>
		<comments>http://neurobot.bio.auth.gr/2012/postdoctoral-research-position-at-carnegie-mellon-university/#comments</comments>
		<pubDate>Thu, 28 Jun 2012 15:59:45 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Jobs]]></category>
		<category><![CDATA[Brain Research]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Neurophysiology]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3206</guid>
		<description><![CDATA[A postdoctoral research position is available at Carnegie Mellon University for collaborative research on statistical analysis of neural data. The research topics will be selected based, in part, on the skills and interests of the candidate. Work would be supervised by Rob Kass who is interested especially in developing new methods for analyzing data from [...]]]></description>
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		<title>Brain-Computer Interfaces: Beyond Medical Applications</title>
		<link>http://neurobot.bio.auth.gr/2012/brain-computer-interfaces-beyond-medical-applications/</link>
		<comments>http://neurobot.bio.auth.gr/2012/brain-computer-interfaces-beyond-medical-applications/#comments</comments>
		<pubDate>Thu, 31 May 2012 17:39:56 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Machine Learning]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3194</guid>
		<description><![CDATA[This IEEE article addresses challenges facing BCI systems in non-medical applications (many of which are also present in life sciences applications outside the area of assistive care. BCI designers must address a range of usability, integration, standardization, and ethical issues to enable the growth of BCI applications. By Jan B.F. van Erp, Fabien Lotte, and [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Book: &#8216;The Elements of  Statistical Learning&#8217;</title>
		<link>http://neurobot.bio.auth.gr/2012/book-the-elements-of-statistical-learning/</link>
		<comments>http://neurobot.bio.auth.gr/2012/book-the-elements-of-statistical-learning/#comments</comments>
		<pubDate>Fri, 09 Mar 2012 20:49:59 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3148</guid>
		<description><![CDATA[The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Download the book PDF (corrected 5th printing) here: http://www-stat.stanford.edu/~tibs/ElemStatLearn/]]></description>
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