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Data · dataset · 2017

Data for: Emergence of the consonance pattern within synaptic weights of a neural network featuring Hebbian neuroplasticity

Listed in Teesside University Research Data Repository

Description

Visual Studio 2015 (free edition) c# programming code used to compare the produced patterns resulting from all the possible spectral distributions of the input stimuli, across the whole auditory spectrum, within the following chosen precision: Inter-band frequency distance of one semi-tone; Six and seven spectral components,f0, 2f0, 3f0, 4f0, 5f0, 6f0 and 7f0, where the base component f0 was always assumed to have the biggest magnitude (a value of one, in relative units); The results are produced by considering all the possible magnitudes for each spectral component, selected from a discrete range of (relative) values between zero and one, with 11 (for the case with 6 and 7 harmonics) and 21 (for the case with 6 harmonics) discrete values within the said range;

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/8rmsfy6y67.217 h agoJSON v1
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concepts[field].anzsrc:field:320904mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computational Neuroscience']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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