BEGINRX

Sorry, I didn’t use SpikeGLX. The data was collected using my own electrodes, and the format is binary. The .ap.meta and .lf.meta files were created by me, based on the...

Thank you for your reply! I have checked the array in `pc_feature_ind.npy`. The data is `array([[0]], dtype=int64)`. I used the mountainsorter5 sorter. I don't know why there is only one...

I used mmap_mode. The result is following. ``` >>> data = np.load('pc_feature_ind.npy', mmap_mode='r') >>> data memmap([[0]], dtype=int64) ``` It's similar to the previous result. Does it mean there is no...

It's funny. Thanks for your help. I will try it.

Hi. I have tried other formats like "brainvision" and "eeglab". The files were exported successfully. Yes, the error only happened in edf. The error messages are only the ones listed...

@cwindolf I want to know these parameters' meaning. Do you have a picture to illustrate the locations on the probe?

> Hi @BEGINRX , I don't have a picture, but there is a section discussing what these paramters are in the preprint (https://www.biorxiv.org/content/10.1101/2023.10.24.563768v1) starting halfway down page 49 Thank you!

Sorry. I will add my code here. First, I export the sorting analyzer. `export_to_phy(sa, phy_res_path, compute_amplitudes=True, compute_pc_features=True, remove_if_exists=True)` Then, I read the data from the result. ``` info_path = os.path.join(phy_folder,...

``` sorting_curated_phy = se.read_phy(phy_folder, exclude_cluster_groups=["noise"]) rec_all = si.read_binary(rec_data_path, sampling_frequency=sample_rate, dtype=data_type, file_offset=headeroffset, \ num_channels=len(channel_ids), channel_ids=channel_ids, offset_to_uV=0, gain_to_uV=gain_to_uV, is_filtered=True) sorting_analyzer = si.create_sorting_analyzer(sorting=sorting_curated_phy, recording=rec_all, sparse=False) ```

Thank you for your reply. I know it's difficult to find the solution without the data. The binary_file is saved with Phy, so I think the waveforms reconstructed by Phy...