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	<title>Neurobot &#187; Neural Networks</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>Music perception triggers brain rhythms multiplexing: EEG experimental evidence</title>
		<link>http://neurobot.bio.auth.gr/2018/music-perception-triggers-brain-rhythms-multiplexing-eeg-experimental-evidence/</link>
		<comments>http://neurobot.bio.auth.gr/2018/music-perception-triggers-brain-rhythms-multiplexing-eeg-experimental-evidence/#comments</comments>
		<pubDate>Mon, 05 Feb 2018 16:40:04 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[brain networks]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[community detection]]></category>
		<category><![CDATA[modularity]]></category>
		<category><![CDATA[multiplexing]]></category>
		<category><![CDATA[music]]></category>
		<category><![CDATA[music neuroscience]]></category>
		<category><![CDATA[music perception]]></category>
		<category><![CDATA[network neuroscience]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=4001</guid>
		<description><![CDATA[A new study reports for the first time functional interactions among brain rhythms in music perception using a novel, elegant, multiplex-aware approach based on a community detection algorithm. The approach was motivated by recent trends in Network Science that focus on the multi-scaled character of complex network systems. A novel, elegant, multiplex-aware framework is introduced, [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2018/music-perception-triggers-brain-rhythms-multiplexing-eeg-experimental-evidence/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>AREADNE 2014 Conference</title>
		<link>http://neurobot.bio.auth.gr/2013/areadne-2014-conference/</link>
		<comments>http://neurobot.bio.auth.gr/2013/areadne-2014-conference/#comments</comments>
		<pubDate>Fri, 22 Nov 2013 09:48:04 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[External announcements]]></category>
		<category><![CDATA[Brain Research]]></category>
		<category><![CDATA[Modelling]]></category>
		<category><![CDATA[Neural coding]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3527</guid>
		<description><![CDATA[Research in Encoding and Decoding of Neural Ensembles The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal yet spectacular setting on Santorini. The conference series emphasizes interaction with a size and pace that encourages in-depth discussion. Interested researchers are strongly [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2013/areadne-2014-conference/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Nengo Neural Simulator</title>
		<link>http://neurobot.bio.auth.gr/2013/the-nengo-neural-simulator/</link>
		<comments>http://neurobot.bio.auth.gr/2013/the-nengo-neural-simulator/#comments</comments>
		<pubDate>Wed, 26 Jun 2013 19:47:45 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Modelling]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3436</guid>
		<description><![CDATA[Nengo is a new graphical and scripting based software package for simulating large-scale neural systems. Nengo helps make detailed spiking neuron models that implement complex high-level cognitive algorithms. Among other things, Nengo has been used to implement motor control, visual attention, serial recall, action selection, working memory, attractor networks, inductive reasoning, path integration, and planning [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2013/the-nengo-neural-simulator/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Bio-Inspired robotic legs mimic human walking gait</title>
		<link>http://neurobot.bio.auth.gr/2012/bio-inspired-robotic-legs-mimic-human-walking-gait/</link>
		<comments>http://neurobot.bio.auth.gr/2012/bio-inspired-robotic-legs-mimic-human-walking-gait/#comments</comments>
		<pubDate>Sat, 28 Jul 2012 17:37:03 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[CPG]]></category>
		<category><![CDATA[Modelling]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3246</guid>
		<description><![CDATA[A group of US researchers has produced a robotic set of legs which they believe is the first to fully model walking in a biologically accurate manner. The neural architecture, musculoskeletal architecture and sensory feedback pathways in humans have been simplified and built into the robot, giving it a remarkably human-like walking gait that can [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/bio-inspired-robotic-legs-mimic-human-walking-gait/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy</title>
		<link>http://neurobot.bio.auth.gr/2012/trentool-a-matlab-open-source-toolbox-to-analyse-information-flow-in-time-series-data-with-transfer-entropy/</link>
		<comments>http://neurobot.bio.auth.gr/2012/trentool-a-matlab-open-source-toolbox-to-analyse-information-flow-in-time-series-data-with-transfer-entropy/#comments</comments>
		<pubDate>Mon, 16 Apr 2012 10:42:39 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=3176</guid>
		<description><![CDATA[TRENTOOL is an implementation of transfer entropy and mutual information analysis based on Wiener&#8217;s causality principle, aiming at the detection of model-free neuronal interactions in neural networks. TRENTOOL is available as an open-source MATLAB toolbox, available under an open source license (GPL v3), &#8220;that allows the user to handle the considerable complexity of this measure [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2012/trentool-a-matlab-open-source-toolbox-to-analyse-information-flow-in-time-series-data-with-transfer-entropy/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Tutorial on Geometrical Data Analysis: Algorithms for Vectorial Pattern-Analysis</title>
		<link>http://neurobot.bio.auth.gr/2010/tutorial-on-geometrical-data-analysis-algorithms-for-vectorial-pattern-analysis/</link>
		<comments>http://neurobot.bio.auth.gr/2010/tutorial-on-geometrical-data-analysis-algorithms-for-vectorial-pattern-analysis/#comments</comments>
		<pubDate>Tue, 28 Dec 2010 12:10:14 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Tutorials]]></category>
		<category><![CDATA[Clustering]]></category>
		<category><![CDATA[Dimensionality Reduction]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2787</guid>
		<description><![CDATA[By Dr. Nikolaos A. Laskaris The term ‘‘pattern’’, currently, encompasses the notion of a variety of data-forms the machines have to tackle with. Despite the fact that in early days it was used mostly for pictorial information, i.e. 2D-signals, now the same term stands almost for any output from a data-source. For instance, any digital-signal can be [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2010/tutorial-on-geometrical-data-analysis-algorithms-for-vectorial-pattern-analysis/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A Description of NeuroML in PLoS Computational Biology</title>
		<link>http://neurobot.bio.auth.gr/2010/a-description-of-neuroml-in-plos-computational-biology/</link>
		<comments>http://neurobot.bio.auth.gr/2010/a-description-of-neuroml-in-plos-computational-biology/#comments</comments>
		<pubDate>Tue, 27 Jul 2010 06:27:05 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2432</guid>
		<description><![CDATA[A description of NeuroML (http://www.neuroml.org) has been published in PLoS Computational Biology. Padraig Gleeson, Sharon Crook, Robert C. Cannon, Michael L. Hines, Guy O. Billings, Matteo Farinella, Thomas M. Morse, Andrew P. Davison, Subhasis Ray, Upinder S. Bhalla, Simon R. Barnes, Yoana D. Dimitrova, R. Angus Silver NeuroML: A Language for Describing Data Driven Models [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2010/a-description-of-neuroml-in-plos-computational-biology/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>NeuroConstruct</title>
		<link>http://neurobot.bio.auth.gr/2009/neuroconstruct/</link>
		<comments>http://neurobot.bio.auth.gr/2009/neuroconstruct/#comments</comments>
		<pubDate>Wed, 04 Mar 2009 08:46:48 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neurophysiology]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2286</guid>
		<description><![CDATA[NeuroConstruct is a software for developing biologically realistic 3D neural network. It has been developed in the Silver Lab in the Department of Physiology at UCL. NeuroConstruct has been designed to simplify development of complex networks of biologically realistic neurons, i.e. models incorporating dendritic morphologies and realistic cell membrane conductances. It is implemented in Java [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2009/neuroconstruct/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>C++ library allows large scale neuronal network simulators to exchange data during runtime</title>
		<link>http://neurobot.bio.auth.gr/2009/c-library-allows-large-scale-neuronal-network-simulators-to-exchange-data-during-runtime/</link>
		<comments>http://neurobot.bio.auth.gr/2009/c-library-allows-large-scale-neuronal-network-simulators-to-exchange-data-during-runtime/#comments</comments>
		<pubDate>Wed, 04 Mar 2009 08:41:23 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2285</guid>
		<description><![CDATA[MUSIC allows spike events and continuous time series to be communicated between applications in a cluster computer. The typical usage cases are connecting models developed for different simulators and connecting a parallel simulator to a post-processing tool. You may find more information here]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2009/c-library-allows-large-scale-neuronal-network-simulators-to-exchange-data-during-runtime/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Multiscale Object-Oriented Simulation Environment</title>
		<link>http://neurobot.bio.auth.gr/2008/multiscale-object-oriented-simulation-environment/</link>
		<comments>http://neurobot.bio.auth.gr/2008/multiscale-object-oriented-simulation-environment/#comments</comments>
		<pubDate>Sat, 18 Oct 2008 06:31:14 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2245</guid>
		<description><![CDATA[MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base and numerical core for large, detailed simulations including Computational Neuroscience and Systems Biology. It is substantially backward compatible with GENESIS, and has scripting in the GENESIS script language and in Python. MOOSE spans the range from single molecules to subcellular networks, from single cells [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/multiscale-object-oriented-simulation-environment/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Neural Ensemble Project</title>
		<link>http://neurobot.bio.auth.gr/2008/neural-ensemble-project/</link>
		<comments>http://neurobot.bio.auth.gr/2008/neural-ensemble-project/#comments</comments>
		<pubDate>Thu, 21 Aug 2008 07:30:28 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neurophysiology]]></category>
		<category><![CDATA[Statistical Analysis]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2221</guid>
		<description><![CDATA[NeuralEnsemble is a multilateral effort to coordinate and organise Neuroscience software development efforts into a larger meta-simulator software system, a natural and alternate approach to incrementally address what is known as the complexity bottleneck, presently a major roadblock for neural modelling. NeuralEnsemble hosts Trac/Subversion servers for a number of open-source neuroscience tools: PyNN a Python [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/neural-ensemble-project/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Brian: a pure Python neural simulator</title>
		<link>http://neurobot.bio.auth.gr/2008/brian-a-pure-python-neural-simulator/</link>
		<comments>http://neurobot.bio.auth.gr/2008/brian-a-pure-python-neural-simulator/#comments</comments>
		<pubDate>Thu, 08 May 2008 09:57:51 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2176</guid>
		<description><![CDATA[Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists. Brian is easy to learn and use, highly flexible and easily extensible. http://brian.di.ens.fr The Brian package itself and [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/brian-a-pure-python-neural-simulator/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Mysterious Memristor</title>
		<link>http://neurobot.bio.auth.gr/2008/the-mysterious-memristor/</link>
		<comments>http://neurobot.bio.auth.gr/2008/the-mysterious-memristor/#comments</comments>
		<pubDate>Fri, 02 May 2008 10:18:59 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Stories]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2175</guid>
		<description><![CDATA[1 May 2008—Anyone familiar with electronics knows the trinity of fundamental components: the resistor, the capacitor, and the inductor. In 1971, a University of California, Berkeley, engineer predicted that there should be a fourth element: a memory resistor, or memristor. But no one knew how to build one. Now, 37 years later, electronics have finally [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2008/the-mysterious-memristor/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>IQR simulator for large scale neural systems</title>
		<link>http://neurobot.bio.auth.gr/2007/iqr-simulator-for-large-scale-neural-systems/</link>
		<comments>http://neurobot.bio.auth.gr/2007/iqr-simulator-for-large-scale-neural-systems/#comments</comments>
		<pubDate>Sat, 09 Jun 2007 07:42:26 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2042</guid>
		<description><![CDATA[IQR provides an efficient graphical environment to design large-scale multi-level neuronal systems that can control real-world devices &#8211; robots in the broader sense &#8211; in real-time. IQR has been released as open-source under GNU General Public License (GPL) IRQ is written by Ulysses Bernardet, Institute of Neuroinformatics University, ETH Zurich. Models in IRQ are organized [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2007/iqr-simulator-for-large-scale-neural-systems/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Learn Like A Human</title>
		<link>http://neurobot.bio.auth.gr/2007/learn-like-a-human/</link>
		<comments>http://neurobot.bio.auth.gr/2007/learn-like-a-human/#comments</comments>
		<pubDate>Fri, 11 May 2007 07:09:23 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Stories]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2037</guid>
		<description><![CDATA[Why Can&#8217;t A Computer Be More Like A Brain? &#8220;Computers, at long last, can play winning chess. But the program that can beat the world champion can&#8217;t talk about chess, let alone learn backgammon. Today&#8217;s programs-at best-solve specific problems. Where humans have broad and flexible capabilities, computers do not. &#8221; Source: IEEE Spectrum Magazine To [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2007/learn-like-a-human/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Decoding neuronal firing and modeling neural networks</title>
		<link>http://neurobot.bio.auth.gr/2006/decoding-neuronal-firing-and-modeling-neural-networks/</link>
		<comments>http://neurobot.bio.auth.gr/2006/decoding-neuronal-firing-and-modeling-neural-networks/#comments</comments>
		<pubDate>Mon, 08 May 2006 18:45:37 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=2007</guid>
		<description><![CDATA[Biological neural networks are large systems of complex elements interacting through a complex array of connections. How do we describe and interpret the activity of a large population of neurons and how do we model neural circuits when: o individual neurons are such complex elements and o our knowledge of the synaptic connections is so [...]]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2006/decoding-neuronal-firing-and-modeling-neural-networks/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Networks of Spiking Neurons: A New Generation of Neural Network Models</title>
		<link>http://neurobot.bio.auth.gr/2005/networks-of-spiking-neurons-a-new-generation-of-neural-network-models/</link>
		<comments>http://neurobot.bio.auth.gr/2005/networks-of-spiking-neurons-a-new-generation-of-neural-network-models/#comments</comments>
		<pubDate>Tue, 14 Jun 2005 10:23:19 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1988</guid>
		<description><![CDATA[A nice article trying to give the reader an intuition what computer scientists can contribute to the question how the brain works. Access the article here by Thomas NatschlÃ¤ger Institute for Theoretical Computer Science at the Technical University of Graz.]]></description>
		<wfw:commentRss>http://neurobot.bio.auth.gr/2005/networks-of-spiking-neurons-a-new-generation-of-neural-network-models/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Pulsed Neural Networks and their Application</title>
		<link>http://neurobot.bio.auth.gr/2005/pulsed-neural-networks-and-their-application/</link>
		<comments>http://neurobot.bio.auth.gr/2005/pulsed-neural-networks-and-their-application/#comments</comments>
		<pubDate>Tue, 14 Jun 2005 10:18:47 +0000</pubDate>
		<dc:creator>Dimitrios A. Adamos</dc:creator>
				<category><![CDATA[Documentation]]></category>
		<category><![CDATA[Neural Networks]]></category>

		<guid isPermaLink="false">http://neurobot.bio.auth.gr/?p=1987</guid>
		<description><![CDATA[Pulsed neural networks are networks of spiking neurons, which represent an entirely new class of artificial neurons. The paper presents an overview of pulsed neural networks, including the structure, function and available training mechanisms for networks of spiking neurons. This paper highlights differences between this model,âfirst generationâ threshold gates, and âsecond generationâ sigmoid activation gates, [...]]]></description>
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		<slash:comments>0</slash:comments>
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