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<pubDate>Sun, 20 Jul 2008 13:43:40 BST</pubDate>


	<title>CiteULike: mbregman plasticity</title>
	<description>CiteULike: mbregman plasticity</description>


	<link>http://www.citeulike.org/user/mbregman/tag/plasticity</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/mbregman/article/2445142"/>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/mbregman/article/2426874"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/mbregman/article/2404358"/>
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<item rdf:about="http://www.citeulike.org/user/mbregman/article/2445142">
    <title>Large-scale model of mammalian thalamocortical systems</title>
    <link>http://www.citeulike.org/user/mbregman/article/2445142</link>
    <description>&lt;i&gt;Proceedings of the National Academy of Sciences (21 February 2008), 0712231105.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The understanding of the structural and dynamic complexity of mammalian brains is greatly facilitated by computer simulations. We present here a detailed large-scale thalamocortical model based on experimental measures in several mammalian species. The model spans three anatomical scales. (i) It is based on global (white-matter) thalamocortical anatomy obtained by means of diffusion tensor imaging (DTI) of a human brain. (ii) It includes multiple thalamic nuclei and six-layered cortical microcircuitry based on in vitro labeling and three-dimensional reconstruction of single neurons of cat visual cortex. (iii) It has 22 basic types of neurons with appropriate laminar distribution of their branching dendritic trees. The model simulates one million multicompartmental spiking neurons calibrated to reproduce known types of responses recorded in vitro in rats. It has almost half a billion synapses with appropriate receptor kinetics, short-term plasticity, and long-term dendritic spike-timing-dependent synaptic plasticity (dendritic STDP). The model exhibits behavioral regimes of normal brain activity that were not explicitly built-in but emerged spontaneously as the result of interactions among anatomical and dynamic processes. We describe spontaneous activity, sensitivity to changes in individual neurons, emergence of waves and rhythms, and functional connectivity on different scales. 10.1073/pnas.0712231105</description>
    <dc:title>Large-scale model of mammalian thalamocortical systems</dc:title>

    <dc:creator>Eugene Izhikevich</dc:creator>
    <dc:creator>Gerald Edelman</dc:creator>
    <dc:identifier>doi:10.1073/pnas.0712231105</dc:identifier>
    <dc:source>Proceedings of the National Academy of Sciences (21 February 2008), 0712231105.</dc:source>
    <dc:date>2008-02-28T20:15:52-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Proceedings of the National Academy of Sciences</prism:publicationName>
    <prism:startingPage>0712231105</prism:startingPage>
    <prism:category>oscillations</prism:category>
    <prism:category>plasticity</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mbregman/article/2445041">
    <title>Neuron types in the rat lateral superior olive and developmental changes in the complexity of their dendritic arbors</title>
    <link>http://www.citeulike.org/user/mbregman/article/2445041</link>
    <description>&lt;i&gt;The Journal of Comparative Neurology, Vol. 390, No. 1. (1998), pp. 20-40.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The lateral superior olive (LSO), a conspicuous mammalian brainstem nucleus that is involved in sound localization, has become a model system for investigating the formation of topographically organized inhibitory and excitatory connections. In experiments employing intracellular injections of Lucifer yellow or neurobiotin into lightly fixed brain slices, we have examined the soma-dendritic morphology of 483 LSO neurons of rats between postnatal day (P) 4 and P36. A detailed analysis of the shape and complexity of dendritic arbors was performed in 238 neurons in order to identify different cell classes and to determine whether age-related changes occur that may relate to a topographical refinement. Regardless of age, seven classes of LSO neurons were identified, more than had been delineated previously with the Golgi technique. Bipolar neurons and multipolar neurons comprised the two major cell types, whereas small multipolar cells, banana-like cells, bushy cells, unipolar cells, and marginal cells were found less frequently. Age-related changes were analyzed in bipolar and multipolar neurons, and several modifications of their dendritic arbors were observed that are in accordance with a refinement of topography. For example, at P4, bipolar and multipolar cells had relatively broad dendritic arbors, with an average of 140 and 138 dendritic end branches, respectively. During further development, their numbers became drastically reduced by about 80%, such that an average of less than 30 endpoints remained by P36. As the dendritic arbors became smaller specifically along the transverse axis of the LSO, they became confined to a smaller frequency area. We conclude from our results that considerable remodeling takes place in the LSO and that the selective loss of dendritic branches may be a morphological correlate for the formation of exquisite tonotopy. J. Comp. Neurol. 390:20-40, 1998. © 1998 Wiley-Liss, Inc.</description>
    <dc:title>Neuron types in the rat lateral superior olive and developmental changes in the complexity of their dendritic arbors</dc:title>

    <dc:creator>Heike-Jana Rietzel</dc:creator>
    <dc:creator>Eckhard Friauf</dc:creator>
    <dc:identifier>doi:10.1002/(SICI)1096-9861(19980105)390:1&#60;20::AID-CNE3&#62;3.0.CO;2-S</dc:identifier>
    <dc:source>The Journal of Comparative Neurology, Vol. 390, No. 1. (1998), pp. 20-40.</dc:source>
    <dc:date>2008-02-28T19:22:11-00:00</dc:date>
    <prism:publicationYear>1998</prism:publicationYear>
    <prism:publicationName>The Journal of Comparative Neurology</prism:publicationName>
    <prism:volume>390</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>20</prism:startingPage>
    <prism:endingPage>40</prism:endingPage>
    <prism:category>auditory</prism:category>
    <prism:category>development</prism:category>
    <prism:category>plasticity</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mbregman/article/2426874">
    <title>Elimination and strengthening of glycinergic/GABAergic connections during tonotopic map formation</title>
    <link>http://www.citeulike.org/user/mbregman/article/2426874</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 6, No. 3. (March 2003), pp. 282-290.&lt;/i&gt;</description>
    <dc:title>Elimination and strengthening of glycinergic/GABAergic connections during tonotopic map formation</dc:title>

    <dc:creator>Gunsoo Kim</dc:creator>
    <dc:creator>Karl Kandler</dc:creator>
    <dc:identifier>doi:10.1038/nn1015</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 6, No. 3. (March 2003), pp. 282-290.</dc:source>
    <dc:date>2008-02-25T19:28:02-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:volume>6</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>282</prism:startingPage>
    <prism:endingPage>290</prism:endingPage>
    <prism:category>auditory</prism:category>
    <prism:category>development</prism:category>
    <prism:category>localization</prism:category>
    <prism:category>plasticity</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mbregman/article/2404358">
    <title>Experience-dependent refinement of inhibitory inputs to auditory coincidence-detector neurons</title>
    <link>http://www.citeulike.org/user/mbregman/article/2404358</link>
    <description>&lt;i&gt;Nat Neurosci, Vol. 5, No. 3. (March 2002), pp. 247-253.&lt;/i&gt;</description>
    <dc:title>Experience-dependent refinement of inhibitory inputs to auditory coincidence-detector neurons</dc:title>

    <dc:creator>Christoph Kapfer</dc:creator>
    <dc:creator>Armin Seidl</dc:creator>
    <dc:creator>Hermann Schweizer</dc:creator>
    <dc:creator>Benedikt Grothe</dc:creator>
    <dc:identifier>doi:10.1038/nn810</dc:identifier>
    <dc:source>Nat Neurosci, Vol. 5, No. 3. (March 2002), pp. 247-253.</dc:source>
    <dc:date>2008-02-20T18:52:04-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Nat Neurosci</prism:publicationName>
    <prism:volume>5</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>247</prism:startingPage>
    <prism:endingPage>253</prism:endingPage>
    <prism:category>auditory</prism:category>
    <prism:category>development</prism:category>
    <prism:category>plasticity</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/mbregman/article/2338081">
    <title>Auditory cortical plasticity: a comparison with other sensory systems.</title>
    <link>http://www.citeulike.org/user/mbregman/article/2338081</link>
    <description>&lt;i&gt;Trends Neurosci, Vol. 22, No. 2. (February 1999), pp. 74-80.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The auditory cortex has a crucial role in higher cognitive functions, including the perception of speech, music and auditory space. Cortical plasticity, as in other sensory systems, is used in the fine tuning of the auditory system for these higher functions. Auditory cortical plasticity can also be demonstrated after lesions of the cochlea and it appears to participate in generating tinnitus. Early musical training leads to an expansion in the representation of complex harmonic sounds in the auditory cortex. Similarly, the early phonetic environment has a strong influence on speech development and, presumably, on the cortical organization of speech. In auditory spatial perception, the spectral cues generated by the head and outer ears vary between individuals and have to be calibrated by learning, which most probably takes place at the cortical level. The neural mechanisms of plasticity are likely to be the same across all cortical regions. It should be useful, therefore, to relate some of the findings and hypotheses about auditory cortical plasticity to previous studies of other sensory systems.</description>
    <dc:title>Auditory cortical plasticity: a comparison with other sensory systems.</dc:title>

    <dc:creator>JP Rauschecker</dc:creator>
    <dc:source>Trends Neurosci, Vol. 22, No. 2. (February 1999), pp. 74-80.</dc:source>
    <dc:date>2008-02-06T01:09:40-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:publicationName>Trends Neurosci</prism:publicationName>
    <prism:issn>0166-2236</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>74</prism:startingPage>
    <prism:endingPage>80</prism:endingPage>
    <prism:category>auditory</prism:category>
    <prism:category>development</prism:category>
    <prism:category>plasticity</prism:category>
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