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	<title>Neurobot &#187; Spike Sorting</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>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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2016/neuroengineering-in-action-hacking-the-brain-to-bypass-the-injured-spine/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A brain-machine interface to allow primates to navigate a robotic wheelchair using their thoughts</title>
		<link>http://neurobot.bio.auth.gr/2016/a-brain-machine-interface-to-allow-primates-to-navigate-a-robotic-wheelchair-using-their-thoughts/</link>
		<comments>http://neurobot.bio.auth.gr/2016/a-brain-machine-interface-to-allow-primates-to-navigate-a-robotic-wheelchair-using-their-thoughts/#comments</comments>
		<pubDate>Sun, 06 Mar 2016 17:24:25 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[neuroprosthetics]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3784</guid>
		<description><![CDATA[The interface, described in the March 3 issue of the online journal Scientific Reports, demonstrates the future potential for people with disabilities who have lost most muscle control and mobility due to quadriplegia or ALS, said senior author Miguel Nicolelis, M.D., Ph.D., co-director for the Duke Center for Neuroengineering. You may read the research report [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2016/a-brain-machine-interface-to-allow-primates-to-navigate-a-robotic-wheelchair-using-their-thoughts/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3353</guid>
		<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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2013/dominant-sets-clustering-for-spike-sorting/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3326</guid>
		<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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2013/using-isomap-algorithm-for-feature-extraction-in-spike-sorting/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>NeuroRighter</title>
		<link>http://neurobot.bio.auth.gr/2012/neurorighter/</link>
		<comments>http://neurobot.bio.auth.gr/2012/neurorighter/#comments</comments>
		<pubDate>Thu, 06 Dec 2012 09:53:01 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[neural recordings]]></category>
		<category><![CDATA[Neurophysiology]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3318</guid>
		<description><![CDATA[NeuroRighter is an open-source system for multi-electrode closed-loop recording and stimulation originally produced by the Potter Lab at Georgia Tech. The software is free, and the hardware schematics and layouts are free for download. NeuroRighter is available here]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/neurorighter/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3276</guid>
		<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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/in-quest-of-the-missing-neuron-spike-sorting-based-on-dominant-sets-clustering/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>People with paralysis control robotic arms using brain-computer interface</title>
		<link>http://neurobot.bio.auth.gr/2012/people-with-paralysis-control-robotic-arms-using-brain-computer-interface/</link>
		<comments>http://neurobot.bio.auth.gr/2012/people-with-paralysis-control-robotic-arms-using-brain-computer-interface/#comments</comments>
		<pubDate>Tue, 21 Aug 2012 10:02:29 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3265</guid>
		<description><![CDATA[Advances in brain-computer interfaces, restorative neurotechnology, and assistive robot technology reported in Nature by the BrainGate2 collaboration of researchers, allowed two people with tetraplegia to reach for and grasp objects in three-dimensional space using robotic arms that they controlled directly with brain activity. The BrainGate2 pilot clinical trial employs the investigational BrainGate system, initially developed [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/people-with-paralysis-control-robotic-arms-using-brain-computer-interface/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Towards reliable spike-train recordings from thousands of neurons with multielectrodes</title>
		<link>http://neurobot.bio.auth.gr/2012/towards-reliable-spike-train-recordings-from-thousands-of-neurons-with-multielectrodes/</link>
		<comments>http://neurobot.bio.auth.gr/2012/towards-reliable-spike-train-recordings-from-thousands-of-neurons-with-multielectrodes/#comments</comments>
		<pubDate>Tue, 24 Jan 2012 18:25:13 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3103</guid>
		<description><![CDATA[A review article describing challenges towards accurate multi-electrode automatic spike sorting. The article emphasizes the absence of ground truth and the need of realistic modeling in the validation step of spike-sorting algorithms. You may read the article here: Einevoll GT, Franke F, Hagen E, Pouzat C, Harris KD. Towards reliable spike-train recordings from thousands of [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/towards-reliable-spike-train-recordings-from-thousands-of-neurons-with-multielectrodes/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Monkey brains &#8216;feel&#8217; virtual objects</title>
		<link>http://neurobot.bio.auth.gr/2012/monkey-brains-feel-virtual-objects/</link>
		<comments>http://neurobot.bio.auth.gr/2012/monkey-brains-feel-virtual-objects/#comments</comments>
		<pubDate>Tue, 10 Jan 2012 21:14:25 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Brain Research]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3088</guid>
		<description><![CDATA[In a first-ever demonstration of a two-way interaction between a primate brain and a virtual body, two monkeys trained at the Duke University Center for Neuroengineering learned to employ brain activity alone to move an avatar hand and identify the texture of virtual objects. You may read the news report at Duke University here or [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/monkey-brains-feel-virtual-objects/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/spike-sorting-based-on-noise-assisted-semi-supervised-learning-methodologies/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Quality metrics to accompany spike sorting of extracellular signals</title>
		<link>http://neurobot.bio.auth.gr/2011/quality-metrics-to-accompany-spike-sorting-of-extracellular-signals/</link>
		<comments>http://neurobot.bio.auth.gr/2011/quality-metrics-to-accompany-spike-sorting-of-extracellular-signals/#comments</comments>
		<pubDate>Mon, 26 Dec 2011 10:46:17 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Brain Research]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3069</guid>
		<description><![CDATA[A review on visualization schemes and quality metrics used to evaluate the success of spike sorting procedures, published in Journal of Neuroscience. You may read the article here: Hill DN, Mehta SB and Kleinfeld D. Quality metrics to accompany spike sorting of extracellular signals. J Neurosci (2011) vol. 31 (24) pp. 8699-705]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/quality-metrics-to-accompany-spike-sorting-of-extracellular-signals/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Spike Sorting: The First Step in Decoding the Brain</title>
		<link>http://neurobot.bio.auth.gr/2011/spike-sorting-the-first-step-in-decoding-the-brain/</link>
		<comments>http://neurobot.bio.auth.gr/2011/spike-sorting-the-first-step-in-decoding-the-brain/#comments</comments>
		<pubDate>Mon, 26 Dec 2011 10:19:14 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3061</guid>
		<description><![CDATA[An overview of the spike sorting problem and challenges in IEEE Signal Processing Magazine. You may read the article here: Gibson et al. Spike Sorting: The First Step in Decoding the Brain. Signal Processing Magazine, IEEE (2012) vol. 29 (1) pp. 124 &#8211; 143 For an extended review on available contemporary algorithms in the spike [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/spike-sorting-the-first-step-in-decoding-the-brain/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Performance comparison of extracellular spike sorting algorithms for single-channel recordings</title>
		<link>http://neurobot.bio.auth.gr/2011/performance-comparison-of-extracellular-spike-sorting-algorithms-for-single-channel-recordings/</link>
		<comments>http://neurobot.bio.auth.gr/2011/performance-comparison-of-extracellular-spike-sorting-algorithms-for-single-channel-recordings/#comments</comments>
		<pubDate>Wed, 07 Dec 2011 09:20:23 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3050</guid>
		<description><![CDATA[A review and comparative analysis paper of contemporary algorithms in the spike sorting domain, published in Journal of Neuroscience Methods. Wild J et al. “Performance comparison of extracellular spike sorting algorithms for single-channel recordings“. Journal of Neuroscience Methods, 2011, vol.203 (2), pp. 369-76; doi:10.1016/j.jneumeth.2011.10.013]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/performance-comparison-of-extracellular-spike-sorting-algorithms-for-single-channel-recordings/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Nev2lkit enhanced demo</title>
		<link>http://neurobot.bio.auth.gr/2011/nev2lkit-enhanced-demo/</link>
		<comments>http://neurobot.bio.auth.gr/2011/nev2lkit-enhanced-demo/#comments</comments>
		<pubDate>Thu, 19 May 2011 17:19:40 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2962</guid>
		<description><![CDATA[An example of a spike sorting task using &#8216;nev2lkit enhanced&#8216; tool. Nev2lkit acts as a preprocessor for the extracellularly recorded data, extracting neural waveforms (i.e. spikes) from the continuous time series. Nev2lkit enhanced features user-customized optimization of the time-window used during the spike extraction procedure. Consequently, Nev2lkit employs Principal Component Analysis (PCA) in the spike [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/nev2lkit-enhanced-demo/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://neurobot.bio.auth.gr/wp-content/uploads/2011/05/nev2lkit.mov" length="1886593" type="video/quicktime" />
		</item>
		<item>
		<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>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2881</guid>
		<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>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/nass-an-empirical-approach-to-spike-sorting-with-overlap-resolution-based-on-a-hybrid-noise-assisted-methodology/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>An Expectation-Maximization tutorial in neural signal analysis</title>
		<link>http://neurobot.bio.auth.gr/2011/an-expectation-maximization-tutorial-in-neural-signal-processing/</link>
		<comments>http://neurobot.bio.auth.gr/2011/an-expectation-maximization-tutorial-in-neural-signal-processing/#comments</comments>
		<pubDate>Mon, 03 Jan 2011 11:18:06 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2811</guid>
		<description><![CDATA[In this tutorial by Dr. Liam Paninski, the Expectation-Maximization (EM) algorithm is discussed and illustrated in a variety of neural examples. Key topics addressed: Example: Mixture models and spike sorting The method of bound optimization via auxiliary functions provides a useful alternative optimization technique The EM algorithm for maximizing the likelihood given hidden data may be derived [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2011/an-expectation-maximization-tutorial-in-neural-signal-processing/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Template matching methods for spike sorting</title>
		<link>http://neurobot.bio.auth.gr/2010/template-matching-methods-for-spike-sorting/</link>
		<comments>http://neurobot.bio.auth.gr/2010/template-matching-methods-for-spike-sorting/#comments</comments>
		<pubDate>Wed, 04 Aug 2010 08:31:25 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Brain Research]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2438</guid>
		<description><![CDATA[Template matching is a popular method in spike sorting, mostly employed in the overlap resolution task. Several algorithms have been proposed during the last 5 years, some of them featuring online implementations. Selected publications follow: Zhang et al. Spike sorting based on automatic template reconstruction with a partial solution to the overlapping problem. J Neurosci [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2010/template-matching-methods-for-spike-sorting/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>SigTool: A MATLAB-based environment for sharing laboratory-developed software to analyze biological signals</title>
		<link>http://neurobot.bio.auth.gr/2009/sigtool-a-matlab-based-environment-for-sharing-laboratory-developed-software-to-analyze-biological-signals/</link>
		<comments>http://neurobot.bio.auth.gr/2009/sigtool-a-matlab-based-environment-for-sharing-laboratory-developed-software-to-analyze-biological-signals/#comments</comments>
		<pubDate>Sat, 16 May 2009 21:38:25 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2316</guid>
		<description><![CDATA[Developed to run within MATLAB, sigTOOL provides a programming and analysis environment for processing neuroscience data. A graphical-user interface to this environment provides the end-user with a self-contained application for waveform and spike-train analysis. User-written extensions to this application can be added to the interface on-the-fly without the need to modify any of the existing [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2009/sigtool-a-matlab-based-environment-for-sharing-laboratory-developed-software-to-analyze-biological-signals/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>An enhanced version of nev2lkit: precompiled binaries available</title>
		<link>http://neurobot.bio.auth.gr/2009/an-enhanced-version-of-nev2lkit-precompiled-binaries-available/</link>
		<comments>http://neurobot.bio.auth.gr/2009/an-enhanced-version-of-nev2lkit-precompiled-binaries-available/#comments</comments>
		<pubDate>Mon, 19 Jan 2009 19:26:18 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2272</guid>
		<description><![CDATA[Precompiled binaries are available for the following platforms: o Mac OS X version 10.5 “Leopard” (Packed with Qt &#038; Qwt libraries) o Linux Ubuntu (x86) version 8.10 (Qt &#038; Qwt packed seperately as an option) Binaries are available for download in nev2lkit&#8217;s enhanced version project page. Win32 binaries are not provided due to lack of [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2009/an-enhanced-version-of-nev2lkit-precompiled-binaries-available/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>NeuroMAX Toolbox</title>
		<link>http://neurobot.bio.auth.gr/2008/neuromax-toolbox/</link>
		<comments>http://neurobot.bio.auth.gr/2008/neuromax-toolbox/#comments</comments>
		<pubDate>Fri, 03 Oct 2008 06:48:58 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2238</guid>
		<description><![CDATA[NeuroMAX is a MATLAB-based software toolbox for the analysis of spike train data. NeuroMAX creates a chain of powerful analysis tools that meet your specific research goals. This tool chain, or Workspace, can be any combination of packaged NeuroMAX tools and your own custom MATLAB-based tools. NeuroMAX tools are grouped into four toolboxes: Spike Detection, [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/neuromax-toolbox/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>An enhanced version of nev2lkit</title>
		<link>http://neurobot.bio.auth.gr/2008/an-enhanced-version-of-nev2lkit/</link>
		<comments>http://neurobot.bio.auth.gr/2008/an-enhanced-version-of-nev2lkit/#comments</comments>
		<pubDate>Tue, 23 Sep 2008 16:32:39 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2236</guid>
		<description><![CDATA[Extracellular recordings of spontaneous nerve activity is a common practice for a number of electrophysiological experiments providing valuable information concerning peripheral and central nervous system physiology of vertebrates and invertebrates. Extracellular electrodes record voltage potentials representing the activity of an unknown number of activated axons which may serve different functions. It is generally assumed that [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/an-enhanced-version-of-nev2lkit/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Performance evaluation of PCA-based spike sorting algorithms</title>
		<link>http://neurobot.bio.auth.gr/2008/performance-evaluation-of-pca-based-spike-sorting-algorithms/</link>
		<comments>http://neurobot.bio.auth.gr/2008/performance-evaluation-of-pca-based-spike-sorting-algorithms/#comments</comments>
		<pubDate>Tue, 09 Sep 2008 07:14:06 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Neurophysiology]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2230</guid>
		<description><![CDATA[Adamos DA, Kosmidis EK and Theophilidis G Deciphering the electrical activity of individual neurons from multi-unit noisy recordings is critical for understanding complex neural systems. A widely used spike sorting algorithm is being evaluated for single-electrode nerve trunk recordings. The algorithm is based on principal component analysis (PCA) for spike feature extraction. In the neuroscience [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/performance-evaluation-of-pca-based-spike-sorting-algorithms/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>FIND toolbox &#8211; Finding Information in Neural Data</title>
		<link>http://neurobot.bio.auth.gr/2008/find-toolbox-finding-information-in-neural-data/</link>
		<comments>http://neurobot.bio.auth.gr/2008/find-toolbox-finding-information-in-neural-data/#comments</comments>
		<pubDate>Thu, 21 Aug 2008 07:17:44 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2220</guid>
		<description><![CDATA[A Matlab-based, open-source analysis toolbox for multiple-neuron recordings and network simulations. Currently the FIND-Toolbox accommodates import of multiple proprietary data formats, based on the Neuroshare Project . Physiological data from different acquisition systems and Network simulations Environments can now be compared using identical analysis methods. This allows verifying of both results across experiments and laboratories [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/find-toolbox-finding-information-in-neural-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Trends in Brain Machine interfaces</title>
		<link>http://neurobot.bio.auth.gr/2008/trends-in-brain-machine-interfaces/</link>
		<comments>http://neurobot.bio.auth.gr/2008/trends-in-brain-machine-interfaces/#comments</comments>
		<pubDate>Thu, 24 Jul 2008 08:07:13 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Brain Interfaces]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2215</guid>
		<description><![CDATA[Brain machine interfaces (BMIs) is a field that holds out the hope of allowing severely paralyzed people to communicate with the world, move their limbs, and even walk. Of course, making that happen is far from simple. Nevertheless, researchers are working to develop solutions to the many practical problems that have prevented the idea from [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/trends-in-brain-machine-interfaces/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Automatic spike detection and sorting using wavelets and super-paramagnetic clustering</title>
		<link>http://neurobot.bio.auth.gr/2006/automatic-spike-detection-and-sorting-using-wavelets-and-super-paramagnetic-clustering/</link>
		<comments>http://neurobot.bio.auth.gr/2006/automatic-spike-detection-and-sorting-using-wavelets-and-super-paramagnetic-clustering/#comments</comments>
		<pubDate>Wed, 02 Aug 2006 20:42:29 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Wavelets]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2013</guid>
		<description><![CDATA[Wave_clus is a fast and unsupervised algorithm for spike detection and sorting. Although it gives a first unsupervised solution, this can be further modified according to the experimenter&#8217;s preference (semi-automatic sorting). By Rodrigo Quian Quiroga, Reader in Bioengineering, Dept. Engineering. University of Leicester, UK. The method combines the wavelet transform,which localizes distinctive spike features, with [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2006/automatic-spike-detection-and-sorting-using-wavelets-and-super-paramagnetic-clustering/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Online Sorter &#8220;OSort&#8221; for spike sorting</title>
		<link>http://neurobot.bio.auth.gr/2006/online-sorter-osort-for-spike-sorting/</link>
		<comments>http://neurobot.bio.auth.gr/2006/online-sorter-osort-for-spike-sorting/#comments</comments>
		<pubDate>Mon, 12 Jun 2006 17:43:30 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2010</guid>
		<description><![CDATA[&#8220;Offline spike sorting approaches are currently used to detect and sort action potentials after finishing the experiment. Because the opportunities to record from the human brain are relatively rare, it is desirable to analyze large numbers of simultaneous recordings quickly using online sorting and detection algorithms. In this way, the experiment can be optimized for [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2006/online-sorter-osort-for-spike-sorting/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Multiple neural spike train data analysis: state-of-the-art and future challenges</title>
		<link>http://neurobot.bio.auth.gr/2006/multiple-neural-spike-train-data-analysis-state-of-the-art-and-future-challenges/</link>
		<comments>http://neurobot.bio.auth.gr/2006/multiple-neural-spike-train-data-analysis-state-of-the-art-and-future-challenges/#comments</comments>
		<pubDate>Thu, 23 Feb 2006 00:17:38 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1999</guid>
		<description><![CDATA[Multiple electrodes are now a standard tool in neuroscience research that make it possible to study the simultaneous activity of several neurons in a given brain region or across different regions. The data from multi-electrode studies present important analysis challenges that must be resolved for optimal use of these neurophysiological measurements to answer questions about [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2006/multiple-neural-spike-train-data-analysis-state-of-the-art-and-future-challenges/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements</title>
		<link>http://neurobot.bio.auth.gr/2005/accuracy-of-tetrode-spike-separation-as-determined-by-simultaneous-intracellular-and-extracellular-measurements/</link>
		<comments>http://neurobot.bio.auth.gr/2005/accuracy-of-tetrode-spike-separation-as-determined-by-simultaneous-intracellular-and-extracellular-measurements/#comments</comments>
		<pubDate>Wed, 01 Jun 2005 13:40:05 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1978</guid>
		<description><![CDATA[This Paper by K.D.Harris provides an excellent walkthrough to the understanding of the spike-sorting procedure. KENNETH D. HARRIS, DARRELL A. HENZE, JOZSEF CSICSVARI, HAJIME HIRASE, AND GY ORGY BUZS AKI Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, New Jersey 07102 Download here(pdf): View this publication]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2005/accuracy-of-tetrode-spike-separation-as-determined-by-simultaneous-intracellular-and-extracellular-measurements/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Spike sorting in the frequency domain</title>
		<link>http://neurobot.bio.auth.gr/2005/spike-sorting-in-the-frequency-domain/</link>
		<comments>http://neurobot.bio.auth.gr/2005/spike-sorting-in-the-frequency-domain/#comments</comments>
		<pubDate>Thu, 03 Feb 2005 12:40:55 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1969</guid>
		<description><![CDATA[This paper deals with the problem of extracting the activity of individual neurons from multi-electrode recordings. Dima Rinberg William Bialek Hanan Davidowitz Naftali Tishby NEC Research Institute, 4 Independence Way, Princeton, NJ 08540. This paper deals with the problem of extracting the activity of individual neurons from multi-electrode recordings. Important aspects of this work are: [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2005/spike-sorting-in-the-frequency-domain/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Test of spike sorting algorithms on the basis of simulated network data</title>
		<link>http://neurobot.bio.auth.gr/2005/test-of-spike-sorting-algorithms-on-the-basis-of-simulated-network-data/</link>
		<comments>http://neurobot.bio.auth.gr/2005/test-of-spike-sorting-algorithms-on-the-basis-of-simulated-network-data/#comments</comments>
		<pubDate>Mon, 31 Jan 2005 22:30:29 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1967</guid>
		<description><![CDATA[A comparison of spike sorting algorithms agains physiological extracellular potential data by a realistic cortical network simulation. Kerstin M.L. Menne*1, Andre Folkers*1, Thomas Malina*1, Reinoud Maex*2, Ulrich G. Hofmann*1 *1 Medical University of Lbeck, Institute for Signal Processing, Seelandstr. 1a, D-23569 Lbeck, Germany [menne, folkers, malina, hofmann]@ isip.mu-luebeck.de *2 Born-Bunge Foundation, University of Antwerp, B-2610 [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2005/test-of-spike-sorting-algorithms-on-the-basis-of-simulated-network-data/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A review of methods for spike sorting</title>
		<link>http://neurobot.bio.auth.gr/2005/a-review-of-methods-for-spike-sorting/</link>
		<comments>http://neurobot.bio.auth.gr/2005/a-review-of-methods-for-spike-sorting/#comments</comments>
		<pubDate>Mon, 31 Jan 2005 22:18:52 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Spike Sorting]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1966</guid>
		<description><![CDATA[A review of methods for spike sorting: the detection and classification of neural action potentials. Michael S Lewickiy Howard Hughes Medical Institute, Computational Neurobiology Laboratory, The Salk Institute, 10010 N Torrey Pines Road, La Jolla, CA 92037, USA Received 31 July 1998 The detection of neural spike activity is a technical challenge that is a [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2005/a-review-of-methods-for-spike-sorting/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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