Release notes

Spyking CIRCUS 0.5

This is the 0.5 release of the SpyKING CIRCUS, a new approach to the problem of spike sorting. The code is based on a smart clustering with sub sampling, and a greedy template matching approach, such that it can resolve the problem of overlapping spikes. The publication about the software is available at http://biorxiv.org/content/early/2016/08/04/067843

../_images/launcher1.png

The software can be used with command line, or a dedicated GUI

Warning

The code may still evolve. Even if results are or should be correct, we can expect some more optimizations in a near future, based on feedbacks obtained on multiple datasets. If you spot some problems with the results, please be in touch with pierre.yger@inserm.fr

Contributions

Code and documentation contributions (ordered by the number of commits):

  • Pierre Yger
  • Marcel Stimberg
  • Baptiste Lebfevre
  • Christophe Gardella
  • Olivier Marre
  • Cyrille Rossant

Release 0.5.3

  • Improvement in the smart_select option given various datasets
  • Fix a regression for the clustering introduced in 0.5.2

Release 0.5.2

  • fix for the MATLAB GUI
  • smart_select can now be used [experimental]
  • fix for non 0: DISPLAY
  • cosmetic changes in the clustering plots
  • ordering of the channels in the openephys wrapper
  • fix for rates in the MATLAB GUI
  • artefacts can now be given in ms or in timesteps with the trig_unit parameter

Release 0.5rc

  • fix a bug when exporting for phy in dense mode
  • compatibility with numpy 1.12
  • fix a regression with artefact removal
  • fix a display bug in the thresholds while previewing with a non unitary gain
  • fix a bug when filtering in multi-files mode (overwrite False, various t_starts)
  • fix a bug when filtering in multi-files mode (overwrite True)
  • fix a bug if matlab gui (overwrite False)
  • fix the gathering method, not working anymore
  • smarter selection of the centroids, leading to more clusters with the smart_select option
  • addition of a How to cite section, with listed publications

Release 0.5b9

  • switch from progressbar2 to tqdm, for speed and practical issues
  • optimization of the ressources by preventing numpy to use multithreading with BLAS
  • fix MPI issues appearing sometimes during the fitting procedure
  • fix a bug in the preview mode for OpenEphys files
  • slightly more robust handling of openephys files, thanks to Ben Acland
  • remove the dependency to mpi4py channel on osx, as it was crashing
  • fix a bug in circus-multi when using extensions

Release 0.5b8

  • fix a bug in the MATLAB GUI in the BestElec while saving
  • more consistency with “both” peak detection mode. Twice more waveforms are always collect during whitening/clustering
  • sparse export for phy is now available
  • addition of a dir_path parameter to be compatible with new phy
  • fix a bug in the meta merging GUI when only one template left

Release 0.5b7

  • fix a bug while converting data to phy with a non unitary gain
  • fix a bug in the merging gui with some version of numpy, forcing ucast
  • fix a bug if no spikes are detected while constructing the basis
  • Optimization if both positive and negative peaks are detected
  • fix a bug with the preview mode, while displaying non float32 data

Release 0.5b6

  • fix a bug while launching the MATLAB GUI

Release 0.5b3

  • code is now hosted on GitHub
  • various cosmetic changes in the terminal
  • addition of a garbage collector mode, to collect also all unfitted spikes, per channel
  • complete restructuration of the I/O such that the code can now handle multiple file formats
  • internal refactoring to ease interaction with new file formats and readibility
  • because of the file format, slight restructuration of the parameter files
  • N_t and radius have been moved to the [detection] section, more consistent
  • addition of an explicit file_format parameter in the [data] section
  • every file format may have its own parameters, see documentation for details (or –info)
  • can now work natively with open ephys data files (.openephys)
  • can now work natively with MCD data files (.mcd) [using neuroshare]
  • can now work natively with Kwik (KWD) data files (.kwd)
  • can now work natively with NeuroDataWithoutBorders files (.nwb)
  • can now work natively with NiX files (.nix)
  • can now work natively with any HDF5-like structure data files (.h5)
  • can now work natively with Arf data files (.arf)
  • can now work natively with 3Brain data files (.brw)
  • can now work natively with Numpy arrays (.npy)
  • can now work natively with all file format supported by NeuroShare (plexon, blackrock, mcd, ...)
  • can still work natively with raw binary files with/without headers :)
  • faster IO for raw binary files
  • refactoring of the exports during multi-file/preview/benchmark: everything is now handled in raw binary
  • fix a bug with the size of the safety time parameter during whitening and clustering
  • all the interactions with the parameters are now done in the circus/shared/parser.py file
  • all the interactions with the probe are now done in the circus/shared/probes.py file
  • all the messages are now handled in circus/shared/messages.py
  • more robust and explicit logging system
  • more robust checking of the parameters
  • display the electrode number in the preview/result GUI
  • setting up a continuous integration workflow to test all conda packages with appveyor and travis automatically
  • cuda support is now turned off by default, for smoother install procedures (GPU yet do not bring much)
  • file format can be streamed. Over several files (former multi-file mode), but also within the same file
  • several cosmetic changes in the default parameter file
  • clustering:smart_search and merging:correct_lag are now True by default
  • fix a minor bug in the smart search, biasing the estimation of densities
  • fix a bug with the masks and the smart-search: improving results
  • addition of an overwrite parameter. Note that any t_start/t_stop infos are lost
  • if using streams, or internal t_start, output times are on the same time axis than the datafile
  • more robust parameter checking

Release 0.4.3

  • cosmetic changes in the terminal
  • suggest to reduce chunk sizes for high density probes (N_e > 500) to save memory
  • fix a once-in-a-while bug in the smart-search

Release 0.4.2

  • fix a bug in the test suite
  • fix a bug in python GUI for non integer thresholds
  • fix a bug with output strings in python3
  • fix a bug to kill processes in windows from the launcher
  • fix graphical issues in the launcher and python3
  • colors are now present also in python3
  • finer control of the amplitudes with the dispersion parameter
  • finer control of the cut off frequencies during the filtering
  • the smart search mode is now back, with a simple True/False flag. Use it for long or noisy recordings
  • optimizations in the smart search mode, now implementing a rejection method based on amplitudes
  • show the mean amplitude over time in the MATLAB GUI
  • MATLAB is automatically closed when closing the MATLAB GUI
  • mean rate is now displayed in the MATLAB GUI, for new datasets only
  • spike times are now saved as uint32, for new datasets only
  • various fixes in the docs
  • improvements when peak detection is set on “both”
  • message about cc_merge for low density probes
  • message about smart search for long recordings
  • various cosmetic changes
  • add a conda app for anaconda navigator

Release 0.4.1

  • fix a bug for converting millions of PCs to phy, getting rid of MPI limitation to int32
  • fix bugs with install on Windows 10, forcing int64 while default is int32 even on 64bits platforms
  • improved errors messages if wrong MCS headers are used
  • Various cosmetic changes

Release 0.4

First realease of the software