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		<title>Convergent Science Network Podcast</title>
		<link>http://csnetwork.eu/podcast/</link>
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		<description>We can learn a lot from brains and bodies when making machines and robots. But reversely, building complex machine systems can also give ideas about how brains and bodies have implemented their functioning over the evolution of ages. This podcast discusses various themes and aspects in-between robotics, neuroscience, cognitive science, artificial intelligence, biology, and technology.</description>
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		<copyright>Convergent Science Network</copyright>
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		<title>Convergent Science Network Podcast</title>
		<link>http://csnetwork.eu/podcast/</link>
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		<itunes:summary>We can learn a lot from brains and bodies when making machines and robots. But reversely, building complex machine systems can also give ideas about how brains and bodies have implemented their functioning over the evolution of ages. This podcast discusses various themes and aspects in-between robotics, neuroscience, cognitive science, artificial intelligence, biology, and technology.</itunes:summary>
		<itunes:subtitle>Thoughts, discussions, and achievements in neurobiology, biomimetic and biohybrid systems</itunes:subtitle>
		<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
		<itunes:owner>
		<itunes:name>Convergent Science Network: by Prof. Paul Verschure</itunes:name>
		<itunes:email>paul.verschure@upf.edu</itunes:email>
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		<itunes:explicit>no</itunes:explicit>
		
		<itunes:category text="Education"><itunes:category text="Higher Education" /></itunes:category>
		<itunes:category text="Science &amp; Medicine"></itunes:category>
		
				<item>
				<title>Interview with Viktor Jisra</title>
				<itunes:subtitle>The Virtual Brain project aims to support the simulation of whole brain models. Here we discuss the state of the art and the challenges TVB is facing. </itunes:subtitle>
				<itunes:summary><![CDATA[<p>-</p>]]></itunes:summary>
				<description>The Virtual Brain project aims to support the simulation of whole brain models. Here we discuss the state of the art and the challenges TVB is facing. </description>
				<link>http://csnetwork.eu/podcast/?name=2019-01-08_viktor_jisra.mp3</link>
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				<guid>http://csnetwork.eu/podcast/?name=2019-01-08_viktor_jisra.mp3</guid>
				<itunes:duration>1:19:00</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 13 Sep 2018 10:35:00 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview with Encari Marcos</title>
				<itunes:subtitle>-</itunes:subtitle>
				<itunes:summary><![CDATA[<p>-</p>]]></itunes:summary>
				<description>-</description>
				<link>http://csnetwork.eu/podcast/?name=2019-01-08_encarni_marcos.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2019-01-08_encarni_marcos.mp3" length="20059829" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2019-01-08_encarni_marcos.mp3</guid>
				<itunes:duration>38:27</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Wed, 05 Sep 2018 10:21:00 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview Jose Halloy</title>
				<itunes:subtitle>Jose Halloy speaks on his experiments where he used robots to investigate the collective behavior of animals.</itunes:subtitle>
				<itunes:summary><![CDATA[<p>In particular, we look at the theoretical approach that Jose follows to understand behavior of ants and fish. Starting with these models, Jose has now developed a new approach that introduces biomimetic robots in animal collectives creating hybrid populations. The opportunities and challenges of this paradigm are analyzed and we speculate about its broader implications and applications. In particular, we analyze the broader challenges of building models that define life, that can drive synthetic biology and that can guide ethics and policy making.</p>]]></itunes:summary>
				<description>Jose Halloy speaks on his experiments where he used robots to investigate the collective behavior of animals.</description>
				<link>http://csnetwork.eu/podcast/?name=2018-01-22_2016_09_07_interview_jose_halloy.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2018-01-22_2016_09_07_interview_jose_halloy.mp3" length="156122866" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2018-01-22_2016_09_07_interview_jose_halloy.mp3</guid>
				<itunes:duration>1:24:17</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:53:20 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview Kate J. Jefferey</title>
				<itunes:subtitle>Kate J. Jefferey (University College, London) discusses her work on spatial navigation, focusing on the interaction between place cells, grid cells, and the influence of contextual clues.</itunes:subtitle>
				<itunes:summary><![CDATA[Kate J. Jefferey (University College, London) discusses her work on spatial navigation, focusing on the interaction between place cells, grid cells, and the influence of contextual clues.]]></itunes:summary>
				<description>Kate J. Jefferey (University College, London) discusses her work on spatial navigation, focusing on the interaction between place cells, grid cells, and the influence of contextual clues.</description>
				<link>http://csnetwork.eu/podcast/?name=2015-09-28_interview_kate_jeffreys.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2015-09-28_interview_kate_jeffreys.mp3" length="184411825" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2015-09-28_interview_kate_jeffreys.mp3</guid>
				<itunes:duration>1:16:46</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:keywords>Science, Neuroscience</itunes:keywords>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:52:43 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview John Lisman</title>
				<itunes:subtitle>John Lisman (Brandeis University, Massachusetts) discusses his work on the brain’s navigation coding, arguing how sets of faster oscillations nested in slower cycles may constitute a general communication principle in the brain.</itunes:subtitle>
				<itunes:summary><![CDATA[John Lisman (Brandeis University, Massachusetts) discusses his work on the brain’s navigation coding, arguing how sets of faster oscillations nested in slower cycles may constitute a general communication principle in the brain.]]></itunes:summary>
				<description>John Lisman (Brandeis University, Massachusetts) discusses his work on the brain’s navigation coding, arguing how sets of faster oscillations nested in slower cycles may constitute a general communication principle in the brain.</description>
				<link>http://csnetwork.eu/podcast/?name=2015-09-28_interview_john_lisman.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2015-09-28_interview_john_lisman.mp3" length="122787182" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2015-09-28_interview_john_lisman.mp3</guid>
				<itunes:duration>1:03:52</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:keywords>Science, Neuroscience</itunes:keywords>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:52:27 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview Edvard Moser</title>
				<itunes:subtitle>Edvard Moser (Kavli Institute and Centre for Neural Computation, Norway; Nobel prize 2014)  discusses the work of his group, his wife and himself on the brain’s computation of spatial memory.</itunes:subtitle>
				<itunes:summary><![CDATA[Edvard Moser (Kavli Institute and Centre for Neural Computation, Norway; Nobel prize 2014) discusses the work of his group, his wife and himself on the brain’s computation of spatial memory.]]></itunes:summary>
				<description>Edvard Moser (Kavli Institute and Centre for Neural Computation, Norway; Nobel prize 2014)  discusses the work of his group, his wife and himself on the brain’s computation of spatial memory.</description>
				<link>http://csnetwork.eu/podcast/?name=2015-09-28_interview_edvard_moser.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2015-09-28_interview_edvard_moser.mp3" length="144555237" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2015-09-28_interview_edvard_moser.mp3</guid>
				<itunes:duration>1:00:10</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:keywords>Science, Neuroscience</itunes:keywords>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:52:13 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview Yaki Setty</title>
				<itunes:subtitle>Yaki Setty (Computational Systems Biology, Max Planck Institute, Saarbrücken) discusses his work on the modeling of neurogenesis and related developmental processes. Interviewed by Paul Verschure and Tony Prescott.</itunes:subtitle>
				<itunes:summary><![CDATA[<p>Yaki Setty (Computational Systems Biology, Max Planck Institute, Saarbrücken) discusses his work on the modeling of neurogenesis and related developmental processes. Interviewed by Paul Verschure and Tony Prescott.</p>]]></itunes:summary>
				<description>Yaki Setty (Computational Systems Biology, Max Planck Institute, Saarbrücken) discusses his work on the modeling of neurogenesis and related developmental processes. Interviewed by Paul Verschure and Tony Prescott.</description>
				<link>http://csnetwork.eu/podcast/?name=2014-10-14_interview_yaki_setty.mp3</link>
				<enclosure url="http://csnetwork.eu/podcast/media/2014-10-14_interview_yaki_setty.mp3" length="83321238" type="audio/mpeg"/>
				<guid>http://csnetwork.eu/podcast/?name=2014-10-14_interview_yaki_setty.mp3</guid>
				<itunes:duration>57:52</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:keywords>Neuroscience, Neurogenesis, Brain development, Computational systems biology</itunes:keywords>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:51:05 +0000</pubDate>
				</item>
				
				<item>
				<title>Interview Murray Shanahan</title>
				<itunes:subtitle>Murray Shanahan (Cognitive Robotics, Imperial College London) discusses his work on the dynamics of cortical networks and their non-linear properties. Interviewed by Paul Verschure and Tony Prescott.</itunes:subtitle>
				<itunes:summary><![CDATA[<p>Murray Shanahan (Cognitive Robotics, Imperial College London) discusses his work on the dynamics of cortical networks and their non-linear properties. Interviewed by Paul Verschure and Tony Prescott.</p>]]></itunes:summary>
				<description>Murray Shanahan (Cognitive Robotics, Imperial College London) discusses his work on the dynamics of cortical networks and their non-linear properties. Interviewed by Paul Verschure and Tony Prescott.</description>
				<link>http://csnetwork.eu/podcast/?name=2014-10-14_interview_murray_shanahan.mp3</link>
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				<guid>http://csnetwork.eu/podcast/?name=2014-10-14_interview_murray_shanahan.mp3</guid>
				<itunes:duration>42:32</itunes:duration>
				<author>paul.verschure@upf.edu (Convergent Science Network: by Prof. Paul Verschure)</author>
				<itunes:author>Convergent Science Network: by Prof. Paul Verschure</itunes:author>
				<itunes:keywords>Computational Neuroscience, Cortical organization</itunes:keywords>
				<itunes:explicit>no</itunes:explicit>
				<pubDate>Thu, 05 Apr 2018 09:50:50 +0000</pubDate>
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