Data from: Mirrored STDP implements autoencoder learning in a network of spiking neurons

Burbank KS

Date Published: December 23, 2015

DOI: http://dx.doi.org/10.5061/dryad.kv5r4

 

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Title Archive of code and parameter files
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Description A zip file containing the code used to run the simulations, as well as the specific parameter files used to generate the data shown in the paper.
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Title MNIST main params network over time
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Description The data file where network state is recorded throughout the simulation training period, for the MNIST parameters used for the main results in the paper.
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Title MNIST main params calculated values
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Description A data file containing calculated values measuring quantities such as reconstruction performance, average neuronal activity, etc for different points in the training sequence. These values were used directly to generate the figures in the manuscript.
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Title Natural images main params network over time
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Description The data file where network state is recorded throughout the simulation training period, for the natural image parameters used for the main results in the paper.
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Title Natural images very sparse params network over time
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Description The data file where network state is recorded throughout the simulation training period, for the very sparse natural image parameters used for the Figure 10b in the paper.
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Title Natural image very sparse main params calculated values
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Description A data file containing calculated values measuring quantities such as reconstruction performance, average neuronal activity, etc for different points in the training sequence. These values were used directly to generate Figure 10b in the manuscript.
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Title MNIST very sparse params network over time
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Description The data file where network state is recorded throughout the simulation training period, for the very sparse MNIST parameters used for Figure 10a in the paper.
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Title MNIST very sparse params calculated values
Downloaded 15 times
Description A data file containing calculated values measuring quantities such as reconstruction performance, average neuronal activity, etc for different points in the training sequence. These values were used directly to generate Figure 10a in the manuscript.
Download MNIST_pp_0p001.pkl (172.7 Mb)
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Title MNIST non-sparse params network over time
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Description The data file where network state is recorded throughout the simulation training period, for the MNIST parameters used for the Figure 10c in the paper.
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Title MNIST non-sparse params calculated values
Downloaded 11 times
Description A data file containing calculated values measuring quantities such as reconstruction performance, average neuronal activity, etc for different points in the training sequence. These values were used directly to generate Figure 10c in the manuscript.
Download MNIST_pp_0p3.pkl (172.7 Mb)
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Title Natural images main params calculated values
Downloaded 11 times
Description A data file containing calculated values measuring quantities such as reconstruction performance, average neuronal activity, etc for different points in the training sequence. These values were used directly to generate the figures in the manuscript.
Download pp_0p02_main_results.pkl (26.00 Mb)
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When using this data, please cite the original publication:

Burbank KS (2015) Mirrored STDP implements autoencoder learning in a network of spiking neurons. PLoS Computational Biology 11(12): e1004566. http://dx.doi.org/10.1371/journal.pcbi.1004566

Additionally, please cite the Dryad data package:

Burbank KS (2015) Data from: Mirrored STDP implements autoencoder learning in a network of spiking neurons. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.kv5r4
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