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        <title>The Neuromorphic Engineer </title>
        <description>News from INE</description>
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        <lastBuildDate>Wed, 08 Feb 2012 21:13:46 +0100</lastBuildDate>
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        <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>
        <item>
            <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>
        <item>
            <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>
        </item>
        <item>
            <title>Neuromorphic silicon neurons and large-scale neural networks: challenges and opportunities</title>
            <link>http://www.frontiersin.org/neuromorphic_engineering/10.3389/fnins.2011.00108/full</link>
            <description>Complementary metal-oxide-semiconductor (CMOS) transistors are commonly used in very-large-scale-integration (VLSI) digital circuits as a basic binary switch that turns on or off as the transistor gate voltage crosses some threshold. Carver Mead first noted that CMOS transistor circuits operating below this threshold in current mode have strikingly similar sigmoidal current–voltage relationships as do neuronal ion channels and consume little power; hence they are ideal analogs of...</description>
            <author>Technologies:Analog</author>
            <pubDate>Thu, 22 Sep 2011 13:00:00 +0100</pubDate>
        </item>
        <item>
            <title>Learning to correct orientation estimates using spatial memory</title>
            <link>http://www.ine-news.org/view.php?article=003828-2011-09-05</link>
            <description>A simple learning rule that implements a spatial map can be used for online correction of position estimates in a neuromorphic head direction cell system.</description>
            <author>Biological Models:Neural, Applications: Spatial Awareness</author>
            <pubDate>Tue, 06 Sep 2011 13:00:00 +0100</pubDate>
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