Measuring symmetry, asymmetry and randomness in neural network connectivity

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Measuring symmetry, asymmetry and randomness in neural network connectivity is …
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scholarly articleQ13442814

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P819ADS bibcode2014PLoSO...9j0805E
P356DOI10.1371/JOURNAL.PONE.0100805
P932PMC publication ID4090069
P698PubMed publication ID25006663
P5875ResearchGate publication ID263816619

P50authorMark van RossumQ42849148
Eleni VasilakiQ41045559
Michele GiuglianoQ41046516
P2093author name stringUmberto Esposito
P2860cites workEmergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapsesQ41874152
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Neuroscience networks: data-sharing in an information ageQ24803871
Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cellsQ28290614
A synaptic organizing principle for cortical neuronal groupsQ30499294
Spike-based reinforcement learning in continuous state and action space: when policy gradient methods failQ30972868
Tag-trigger-consolidation: a model of early and late long-term-potentiation and depressionQ33396203
Synaptic plasticity and connectivity requirements to produce stimulus-pair specific responses in recurrent networks of spiking neuronsQ33842145
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulationsQ33900113
Wiring specificity in the direction-selectivity circuit of the retinaQ34169590
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Circuit reconstruction tools todayQ34586111
Pairwise analysis can account for network structures arising from spike-timing dependent plasticityQ34597883
Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasksQ35207877
Towards neural circuit reconstruction with volume electron microscopy techniquesQ36589941
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue7
P407language of work or nameEnglishQ1860
P921main subjectnetwork connectivityQ123759594
P304page(s)e100805
P577publication date2014-07-09
P1433published inPLOS OneQ564954
P1476titleMeasuring symmetry, asymmetry and randomness in neural network connectivity
P478volume9

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cites work (P2860)
Q31047199A topological approach unveils system invariances and broken symmetries in the brain
Q41899945Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity
Q36423220Emulating short-term synaptic dynamics with memristive devices
Q64064873Weight statistics controls dynamics in recurrent neural networks

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