scholarly article | Q13442814 |
P819 | ADS bibcode | 2014PLoSO...9j0805E |
P356 | DOI | 10.1371/JOURNAL.PONE.0100805 |
P932 | PMC publication ID | 4090069 |
P698 | PubMed publication ID | 25006663 |
P5875 | ResearchGate publication ID | 263816619 |
P50 | author | Mark van Rossum | Q42849148 |
Eleni Vasilaki | Q41045559 | ||
Michele Giugliano | Q41046516 | ||
P2093 | author name string | Umberto Esposito | |
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | network connectivity | Q123759594 |
P304 | page(s) | e100805 | |
P577 | publication date | 2014-07-09 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Measuring symmetry, asymmetry and randomness in neural network connectivity | |
P478 | volume | 9 |
Q31047199 | A topological approach unveils system invariances and broken symmetries in the brain |
Q41899945 | Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity |
Q36423220 | Emulating short-term synaptic dynamics with memristive devices |
Q64064873 | Weight statistics controls dynamics in recurrent neural networks |
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