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<item rdf:about="http://www.citeulike.org/user/mbregman/article/2621743">
    <title>Computer simulation of human thought</title>
    <link>http://www.citeulike.org/user/mbregman/article/2621743</link>
    <description>&lt;i&gt;Science, Vol. 134 (1961), pp. 2011-2017.&lt;/i&gt;</description>
    <dc:title>Computer simulation of human thought</dc:title>

    <dc:creator>A Newell</dc:creator>
    <dc:creator>HA Simon</dc:creator>
    <dc:source>Science, Vol. 134 (1961), pp. 2011-2017.</dc:source>
    <dc:date>2008-04-02T01:28:20-00:00</dc:date>
    <prism:publicationYear>1961</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:volume>134</prism:volume>
    <prism:startingPage>2011</prism:startingPage>
    <prism:endingPage>2017</prism:endingPage>
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<item rdf:about="http://www.citeulike.org/user/mbregman/article/1813038">
    <title>Computer science as empirical inquiry: symbols and search</title>
    <link>http://www.citeulike.org/user/mbregman/article/1813038</link>
    <description>&lt;i&gt;Commun. ACM, Vol. 19, No. 3. (March 1976), pp. 113-126.&lt;/i&gt;</description>
    <dc:title>Computer science as empirical inquiry: symbols and search</dc:title>

    <dc:creator>Allen Newell</dc:creator>
    <dc:creator>Herbert Simon</dc:creator>
    <dc:identifier>doi:10.1145/360018.360022</dc:identifier>
    <dc:source>Commun. ACM, Vol. 19, No. 3. (March 1976), pp. 113-126.</dc:source>
    <dc:date>2007-10-23T22:20:40-00:00</dc:date>
    <prism:publicationYear>1976</prism:publicationYear>
    <prism:publicationName>Commun. ACM</prism:publicationName>
    <prism:issn>0001-0782</prism:issn>
    <prism:volume>19</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>113</prism:startingPage>
    <prism:endingPage>126</prism:endingPage>
    <prism:publisher>ACM Press</prism:publisher>
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    <title>Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission</title>
    <link>http://www.citeulike.org/user/mbregman/article/884653</link>
    <description>&lt;i&gt;Neuron, Vol. 40, No. 6. (18 December 2003), pp. 1063-1073.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;It is well-known that chemical synaptic transmission is an unreliable process, but the function of such unreliability remains unclear. Here I consider the hypothesis that the randomness of synaptic transmission is harnessed by the brain for learning, in analogy to the way that genetic mutation is utilized by Darwinian evolution. This is possible if synapses are &#34;hedonistic,&#34; responding to a global reward signal by increasing their probabilities of vesicle release or failure, depending on which action immediately preceded reward. Hedonistic synapses learn by computing a stochastic approximation to the gradient of the average reward. They are compatible with synaptic dynamics such as short-term facilitation and depression and with the intricacies of dendritic integration and action potential generation. A network of hedonistic synapses can be trained to perform a desired computation by administering reward appropriately, as illustrated here through numerical simulations of integrate-and-fire model neurons.</description>
    <dc:title>Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission</dc:title>

    <dc:creator>Sebastian Seung</dc:creator>
    <dc:identifier>doi:10.1016/S0896-6273(03)00761-X</dc:identifier>
    <dc:source>Neuron, Vol. 40, No. 6. (18 December 2003), pp. 1063-1073.</dc:source>
    <dc:date>2006-10-05T12:48:49-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>Neuron</prism:publicationName>
    <prism:volume>40</prism:volume>
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    <title>Path integration and the neural basis of the 'cognitive map'</title>
    <link>http://www.citeulike.org/user/mbregman/article/769171</link>
    <description>&lt;i&gt;Nature Reviews Neuroscience, Vol. 7, No. 8., pp. 663-678.&lt;/i&gt;</description>
    <dc:title>Path integration and the neural basis of the 'cognitive map'</dc:title>

    <dc:creator>Bruce Mcnaughton</dc:creator>
    <dc:creator>Francesco Battaglia</dc:creator>
    <dc:creator>Ole Jensen</dc:creator>
    <dc:creator>Edvard Moser</dc:creator>
    <dc:creator>May-Britt Moser</dc:creator>
    <dc:identifier>doi:10.1038/nrn1932</dc:identifier>
    <dc:source>Nature Reviews Neuroscience, Vol. 7, No. 8., pp. 663-678.</dc:source>
    <dc:date>2006-07-21T19:08:00-00:00</dc:date>
    <prism:publicationName>Nature Reviews Neuroscience</prism:publicationName>
    <prism:issn>1471-003X</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:number>8</prism:number>
    <prism:startingPage>663</prism:startingPage>
    <prism:endingPage>678</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>no-tag</prism:category>
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    <title>The Semantic Conception of Truth: and the Foundations of Semantics</title>
    <link>http://www.citeulike.org/user/mbregman/article/2236229</link>
    <description>&lt;i&gt;Philosophy and Phenomenological Research, Vol. 4, No. 3. (1944), pp. 341-376.&lt;/i&gt;</description>
    <dc:title>The Semantic Conception of Truth: and the Foundations of Semantics</dc:title>

    <dc:creator>Alfred Tarski</dc:creator>
    <dc:source>Philosophy and Phenomenological Research, Vol. 4, No. 3. (1944), pp. 341-376.</dc:source>
    <dc:date>2008-01-15T20:08:32-00:00</dc:date>
    <prism:publicationYear>1944</prism:publicationYear>
    <prism:publicationName>Philosophy and Phenomenological Research</prism:publicationName>
    <prism:volume>4</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>341</prism:startingPage>
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