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Description
Hi, I am trying to test different filter settings for herdingspikes. I tried different cut-off frequencies, which works well, but if I try to use the unfiltered data, it raises an error. Could you please have a look at the error message? Does it mean that Herdingspikes does not work with unfiltered data (with LFP), or can I change some settings to make it work (although the accuracy could be low)?
{
"sorter_name": "herdingspikes",
"sorter_version": "0.3.7",
"datetime": "2025-03-03T21:50:05.440519",
"runtime_trace": [],
"error": true,
"error_trace": "Traceback (most recent call last):\n File \"anaconda43/envs/si96_228/lib/python3.9/site-packages/spikeinterface/sorters/basesorter.py\", line 226, in run_from_folder\n SorterClass._run_from_folder(sorter_output_folder, sorter_params, verbose)\n File \"anaconda43/envs/si96_228/lib/python3.9/site-packages/spikeinterface/sorters/herdingspikes/herdingspikes.py\", line 226, in _run_from_folder\n uids = C.spikes.cl.unique()\n File \"anaconda43/envs/si96_228/lib/python3.9/site-packages/pandas/core/generic.py\", line 5902, in __getattr__\n return object.__getattribute__(self, name)\nAttributeError: 'DataFrame' object has no attribute 'cl'\n",
"run_time": null
}