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    <responseDate>2026-10-16T01:01:31Z</responseDate>
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                <identifier>oai:data.mendeley.com/xfp84r5hb7.1</identifier>
                <datestamp>2018-03-08T07:52:02Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Bogdan, Petrut Antoniu</dc:creator>
    <dc:title>Structural plasticity on the SpiNNaker many-core neuromorphic system</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Directories:
&gt; input_shape_generation: [code] a Jupyter notebook exemplifying the use of functions which generate a few different input shapes (Gaussian, Pointy, Square). The actual functions used when simulating are in the &quot;simulation_run&quot; folder.

&gt;results:[data + code] numpy .npz archives with results for various experiments and presented in the eponymous paper. Folder names containing &quot;vs.&quot; show results from performing sensitivity analysis. Additionally, each one contains a folder with a long string of alphanumerical characters as a name;  within are contained the raw results of the simulations (connectivity, all of the spiking activity, parameters used).  Moreover, a processed data set is available. Files with the prefix &quot;batch&quot; contains information about the entire respective batch run, while &quot;batch_analysis&quot; contains all of the results for each respective batch run. Finally, each folder contains a Jupyter notebook revealing the structure of each result archive, how the figures were plotted etc.

&gt;simulation_analysis:[code] Python scripts used to analyse raw data, given in individual files or as a batch. For more details type:
       ``python simulation_statistics.py --help   ``

&gt;simulation_run:[code] Python scripts used to simulate the network with a variety of parameters. For more details type:
       ``python topographic_map_formation.py --help   ``

</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Neuroscience</dc:subject>
    <dc:subject>Parallel Computing</dc:subject>
    <dc:subject>Bio-Inspired Computing</dc:subject>
    <dc:subject>Computer Simulation</dc:subject>
    <dc:contributor>Rhodes, Oliver</dc:contributor>
    <dc:contributor>Rowley, Andrew</dc:contributor>
    <dc:contributor>Furber, Steve B.</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xfp84r5hb7.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xfp84r5hb7.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/xfp84r5hb7</dc:relation>
    <dc:date>2018-03-08T07:52:02Z</dc:date>
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