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Benchmarks


"L5 tetrode, varying noise level" (Active)

Description:
Model rat L5 tetrode recording generated using a forward model in LFPy, with realistic L5 pyramidal cell models with active dynamics and synaptic event times from a spiking network driving the cells. Sampling rate 32 kHz, contain 120 s of recordings for a tetrode geometry similar to a Thomas Recordings device. In this benchmark, the ability of the algorithm to extract spikes at different noise levels is tested. The underlying population geometry is equal between trials, but network- and noise-realizations are different, so firing patterns are different of the post-synaptic cells.
Owner:
ehagen
Date Created:
Sept. 5, 2012
Tags:
tetrode  LFPy  noise  model  L5 
Summary
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Trial Set touples of rawdata file and groundtruth file

Benchmarks consist of one or more Trials. You may download Trials and apply your spike sorting algorithm. After the spike sorting on your end, you can may upload the resulting spike train set here and start an Evaluation.

Name Created Noise Description Download
Raw, noise weight 0.1 Sept. 6, 2012 0.1 8 cells in population, ground truth for all cells, activity in network used to drive ... testdata_nonfiltered.h5 - 58.6 MB
Raw, noise weight 0.2 Sept. 5, 2012 0.2 8 cells in population, ground truth for all cells, activity in network used to drive ... testdata_nonfiltered.h5 - 58.6 MB
Raw, noise weight 0.3 Sept. 5, 2012 0.3 8 cells in population, ground truth for all cells, activity in network used to drive ... testdata_nonfiltered.h5 - 58.6 MB
Raw, noise weight 0.4 Sept. 5, 2012 0.4 8 cells in population, ground truth for all cells, activity in network used to drive ... testdata_nonfiltered.h5 - 58.6 MB
Raw, noise weight 0.5 Sept. 5, 2012 0.5 8 cells in population, ground truth for all cells, activity in network used to drive ... testdata_nonfiltered.h5 - 58.6 MB
ZIP ARCHIVE

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