You can assign this a label, "question", also it would be great to have a discussion page on the repo

Iam trying to understand the modules , but while trying to run featureextaraction on a sorted data from a maxtwo recording I faced this error, any insights on this:

BasicFeatureExtractionTutorial
Generated 1 sorting paths
Loaded recording information
Imported custom parameters
Found 1 units with bad power
Found 0 units with bad amplitudes
Found 13 units with bad firing rates
Found 15 units with bad RPV
Identified 31 units as axonal
Identified 65 units as noise
Found 680/785 good units
Index in position 1 is invalid. Array indices must be positive integers or logical values.

Error in MEArecording/inferWaveformFeatures (line 280)
            peak_1_cutout = interp_wf_matrix(unit_trough_idx - ms_conversion:unit_trough_idx,:); %Limit detection range for peaks

Error in MEArecording/generateUnits (line 613)
               waveform_features = obj.inferWaveformFeatures(good_amplitudes, good_wf_matrix);

Error in MEArecording/performAnalyses (line 130)
                obj.generateUnits();

Error in MEArecording (line 37)
                mearec.performAnalyses();

Error in generate_MEArecordings_from_sorting_list (line 50)
                    rec_array{iPath} = MEArecording(metadata, params);

Error in BasicFeatureExtractionTutorial (line 57)
rec_array = generate_MEArecordings_from_sorting_list(sorting_path_list, lookup_path, path_part_idx, params.QC.N_Units, params, parallel);
 

I initially suspected it was due to the maxtwo sampling but few other examples worked fine. any insights on these be great.

also I have a few more questions,

1. do you sort on the activity assays ( as in Silvia Ronchis paper)?

2. Why use KS 2.5, i was using KS2 since the cells are stationary.

3. When I went through your paper, I understood for a culture representative unit and waveforrm features were calculated, since we use mouse primary neurons, there is a mix of different cells, i want to segregate them into excitatory and inhibitory. Can I use your module to this, any thoughts on this. Thank you for your time.

While using the given spike_templates.npy , the following error is thrown.

`Error using readNPYheader
Error: This file does not appear to be NUMPY format based on the header.

Error in readNPY (line 10)
[shape, dataType, fortranOrder, littleEndian, totalHeaderLength, ~] = readNPYheader(filename);

Error in generate_MEArecordings_from_sorting_list (line 49)
spk_temp = readNPY(temp_file);

Error in MandarBasicFeatureExtractionTutorial (line 60)
rec_array = generate_MEArecordings_from_sorting_list(sorting_path_list, lookup_path, path_part_idx, params.QC.N_Units, params, parallel);
`

I kindly request you to provide a proper sample data to run the tutorials. Thank you