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<feed xmlns="http://www.w3.org/2005/Atom"><title>UH Biocomputation Group - HBP</title><link href="http://biocomputation.herts.ac.uk/" rel="alternate"/><link href="http://biocomputation.herts.ac.uk/feeds/tags/hbp.atom.xml" rel="self"/><id>http://biocomputation.herts.ac.uk/</id><updated>2017-07-13T12:48:34+01:00</updated><entry><title>The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance</title><link href="http://biocomputation.herts.ac.uk/2017/07/13/the-correlation-between-eeg-signals-as-measured-in-different-positions-on-scalp-varying-with-distance.html" rel="alternate"/><published>2017-07-13T12:48:34+01:00</published><updated>2017-07-13T12:48:34+01:00</updated><author><name>Ronakben Bhavsar</name></author><id>tag:biocomputation.herts.ac.uk,2017-07-13:/2017/07/13/the-correlation-between-eeg-signals-as-measured-in-different-positions-on-scalp-varying-with-distance.html</id><summary type="html">&lt;p class="first last"&gt;Ronak's journal club session on The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance.&lt;/p&gt;
</summary><content type="html">&lt;p&gt;Biomedical signals such as electroencephalogram (EEG) are the time varying signal, and different position of electrodes give different time varying signals. There might be a correlation between these signals. It is likely that the correlation is related to the actual position of electrodes. In this paper, we show that correlation is related to the physical distance between electrodes as measured. This finding is independent of participants and brain hemisphere. Our results indicate that the EEG signal is not transmitted via neurons but through white matter in a brain.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Date:&lt;/strong&gt; 14/07/2017 &lt;br /&gt;
&lt;strong&gt;Time:&lt;/strong&gt; 16:00 &lt;br /&gt;
&lt;strong&gt;Location&lt;/strong&gt;: LB252&lt;/p&gt;
</content><category term="Seminars"/><category term="Computational neuroscience"/><category term="HBP"/></entry><entry><title>Opportunities and challenges in the Human Brain Project</title><link href="http://biocomputation.herts.ac.uk/2017/07/05/opportunities-and-challenges-in-the-human-brain-project.html" rel="alternate"/><published>2017-07-05T17:19:34+01:00</published><updated>2017-07-05T17:19:34+01:00</updated><author><name>Michael Schmuker</name></author><id>tag:biocomputation.herts.ac.uk,2017-07-05:/2017/07/05/opportunities-and-challenges-in-the-human-brain-project.html</id><summary type="html">&lt;p class="first last"&gt;Michael Schmuker's journal club session on Opportunities and challenges in the Human Brain Project.&lt;/p&gt;
</summary><content type="html">&lt;p&gt;The Human Brain Project (HBP) is a 10-year &amp;quot;flagship research initiative&amp;quot; funded
by the EU. Last September, the University of Hertfordshire has joined this
initiative as one of over 120 international partners. The goal of HBP is to
&amp;quot;accelerate the fields of neuroscience, computing and brain-related medicine&amp;quot;
[1].&lt;/p&gt;
&lt;p&gt;In my presentation I will give an overview on the science that is done in HBP,
with a special focus on our specific role within this huge project.  The HBP
provides 6 &amp;quot;research platforms&amp;quot; that are potentially highly relevant to ongoing
projects in the Biocomputation group. I will introduce two of those platforms in
more detail, i.e. the neuromorphic computing platform and the neurorobotics
platform.&lt;/p&gt;
&lt;p&gt;[1] &lt;a class="reference external" href="https://www.humanbrainproject.eu/en/"&gt;https://www.humanbrainproject.eu/en/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Date:&lt;/strong&gt; 07/07/2017 &lt;br /&gt;
&lt;strong&gt;Time:&lt;/strong&gt; 16:00 &lt;br /&gt;
&lt;strong&gt;Location&lt;/strong&gt;: LB252&lt;/p&gt;
</content><category term="Seminars"/><category term="Computational neuroscience"/><category term="HBP"/></entry></feed>