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  <summary>Fast and scalable spike sorting of large-scale extracellular recordings</summary>
  <description>SpyKING CIRCUS is a python code to allow fast spike sorting on multi channel
recordings. A publication on the algorithm can be found at
https://elifesciences.org/articles/34518.

It has been tested on datasets coming from in vitro retina with 252 electrodes
MEA, from in vivo hippocampus with tetrodes, in vivo and in vitro cortex data
with 30 and up to 4225 channels, with good results. Synthetic tests on these
data show that cells firing at more than 0.5Hz can be detected, and their
spikes recovered with error rates at around 1%, even resolving overlapping
spikes and synchronous firing. It seems to be compatible with optogenetic
stimulation, based on experimental data obtained in the retina.</description>
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  <summary>Fast and scalable spike sorting of large-scale extracellular recordings</summary>
  <description>SpyKING CIRCUS is a python code to allow fast spike sorting on multi channel
recordings. A publication on the algorithm can be found at
https://elifesciences.org/articles/34518.

It has been tested on datasets coming from in vitro retina with 252 electrodes
MEA, from in vivo hippocampus with tetrodes, in vivo and in vitro cortex data
with 30 and up to 4225 channels, with good results. Synthetic tests on these
data show that cells firing at more than 0.5Hz can be detected, and their
spikes recovered with error rates at around 1%, even resolving overlapping
spikes and synchronous firing. It seems to be compatible with optogenetic
stimulation, based on experimental data obtained in the retina.</description>
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