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

Published: 4 Oct 2017 | Version 1 | DOI: 10.17632/8rmsfy6y67.1
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Description of this data

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;

Experiment data files

This data is associated with the following publication:

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

Published in: Biologically Inspired Cognitive Architectures

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  • Version 1

    2017-10-04

    Published: 2017-10-04

    DOI: 10.17632/8rmsfy6y67.1

    Cite this dataset

    Pankovski, Toso; Pankovska, Eva (2017), “Data for: Emergence of the consonance pattern within synaptic weights of a neural network featuring Hebbian neuroplasticity”, Mendeley Data, v1 http://dx.doi.org/10.17632/8rmsfy6y67.1

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Computational Neuroscience

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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