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        <title>The Neuromorphic Engineer </title>
        <description>News from INE</description>
        <link>http://www.ine-news.org</link>
        <lastBuildDate>Fri, 18 May 2012 02:09:19 +0100</lastBuildDate>
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        <item>
            <title>Modern classical conditioning: replacing a learning circuit in the brain</title>
            <link>http://www.ine-news.org/view.php?article=004172-2012-04-23</link>
            <description>A programmable chip can replace the ability of the cerebellum to learn a timed eye-blink response to a sound.</description>
            <author>Applications:Neural Interface, Biological Models:Neural, Technologies:Mixed mode</author>
            <pubDate>Mon, 23 Apr 2012 13:00:00 +0100</pubDate>
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        <item>
            <title>Apply for Telluride Neuromorphic Cognition Engineering Workshop by 30 March</title>
            <link>http://ine-web.org/telluride-conference-2012/telluride-2012/index.html</link>
            <description>Applications are invited for a three-week summer workshop that will be held in Telluride, Colorado from Sunday July 1st - Saturday July 21st, 2012. This three-week intensive workshop and is intended to promote interaction between senior and junior researchers; educate new members of the community;  introduce new enabling fields and applications to the community; promote on-going collaborative activities emerging from the Workshop, and promote a self-sustaining research field.</description>
            <author>Workshops:Telluride</author>
            <pubDate>Thu, 08 Mar 2012 13:00:00 +0100</pubDate>
        </item>
        <item>
            <title>CapoCaccia Cognitive Neuromorphic Engineering Workshop</title>
            <link>http://ncs.ethz.ch/events/2012-capocaccia-cognitive-neuromorphic-engineering-workshop</link>
            <description>Themes  will include cortical development, multi-scale neural circuit experimental and modeling approaches, state-dependent computation, brain-machine interfaces, VLSI implementations of neural processing systems, plasticity in real and silicon neural systems, memristive devices and phase-change materials, and of course cognitive behaving neuromorphic systems.</description>
            <author>Workshops:General</author>
            <pubDate>Thu, 08 Dec 2011 13:00:00 +0100</pubDate>
        </item>
        <item>
            <title>Open post-doc position</title>
            <link>http://ncs.ethz.ch/news/open-post-doc-position</link>
            <description>Job opening for a post-doctoral position at the Institute of Neuroinformatics, University of Zurich and ETH Zurich</description>
            <author>Jobs</author>
            <pubDate>Wed, 02 Nov 2011 13:00:00 +0100</pubDate>
        </item>
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            <title>VLSI implementation of a 2.8 Gevent/s packet-based AER interface with routing and event sorting ...</title>
            <link>http://www.frontiersin.org/neuromorphic_engineering/10.3389/fnins.2011.00117/full</link>
            <description>We present a high-speed communication infrastructure for a waferscale neuromorphic system, based on application-specific neuromorphic communication ICs in an field programmable gate arrays (FPGA)-maintained environment.  The overall so-called pulse communication subgroup (ICs and FPGA) delivers a factor 25–50 more event transmission rate than other current neuromorphic communication infrastructures.</description>
            <author>Technologies:Interconnection</author>
            <pubDate>Wed, 12 Oct 2011 13:00:00 +0100</pubDate>
        </item>
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            <title>Frontiers in neuromorphic engineering</title>
            <link>http://www.frontiersin.org/neuromorphic_engineering/10.3389/fnins.2011.00118/full</link>
            <description>Understanding the computational principles used by the brain and how they are physically embodied is crucial for developing novel computing paradigms and guiding a new generation of technologies that can combine the strengths of industrial-scale electronics with the computational performance of brains.</description>
            <author>Biological Models:Neural</author>
            <pubDate>Mon, 10 Oct 2011 13:00:00 +0100</pubDate>
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