Data from: ASSET: analysis of sequences of synchronous events in massively parallel spike trains

Torre E, Canova C, Denker M, Gerstein G, Helias M, Grün S

Date Published: July 19, 2016

DOI: http://dx.doi.org/10.5061/dryad.cb360

 

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Title scripts (Python)
Downloaded 12 times
Description Code used to generate the stochastic data and plot the figures of the manuscript "ASSET: Analysis of sequences of synchronous events in massively parallel spike trains". The analysis results load by some scripts are stored in the companion data archive "performance.zip"
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Title performance
Downloaded 5 times
Description Performance results of the application of ASSET on stochastic simulations and a network simulation with embedded synfire chains. Different folders relate to different data and analysis parameter. Each individual file contains the results (in terms of number of false positives and false negatives) obtained on 100 iterations on the same data type using the same analysis parameters.
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When using this data, please cite the original publication:

Torre E, Canova C, Denker M, Gerstein G, Helias M, Grün S (2016) ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains. PLOS Computational Biology 12(7): e1004939. http://dx.doi.org/10.1371/journal.pcbi.1004939

Additionally, please cite the Dryad data package:

Torre E, Canova C, Denker M, Gerstein G, Helias M, Grün S (2016) Data from: ASSET: analysis of sequences of synchronous events in massively parallel spike trains. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.cb360
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