Unable to read neuralynx .ntt files

The block of code below yields an error when I’m trying to read neuralynx .ntt files.

import spikeinterface.extractors as se 

folder_path_ntt = "/home/adityab/SpikeInterfaceTest/aditya-clustering/data"
recording_ntt = se.read_neuralynx(folder_path=folder_path_ntt)

IndexError Traceback (most recent call last) Cell In [1], line 4 1 import spikeinterface.extractors as se 3 folder_path_ntt = “/home/adityab/SpikeInterfaceTest/aditya-clustering/data” ----> 4 recording_ntt = se.read_neuralynx(folder_path=folder_path_ntt)

File ~/spikeinterface/spikeinterface/core/core_tools.py:27, in define_function_from_class.<locals>.reader_func(*args, **kwargs) 25 @copy_signature(source_class) 26 def reader_func(*args, **kwargs): —> 27 return source_class(*args, **kwargs)

File ~/spikeinterface/spikeinterface/extractors/neoextractors/neuralynx.py:29, in NeuralynxRecordingExtractor.init(self, folder_path, stream_id, stream_name, all_annotations) 27 def init(self, folder_path, stream_id=None, stream_name=None, all_annotations=False): 28 neo_kwargs = self.map_to_neo_kwargs(folder_path) —> 29 NeoBaseRecordingExtractor.init(self, stream_id=stream_id, 30 stream_name=stream_name, 31 all_annotations=all_annotations, 32 **neo_kwargs) 33 self._kwargs.update(dict(folder_path=str(folder_path)))

File ~/spikeinterface/spikeinterface/extractors/neoextractors/neobaseextractor.py:62, in NeoBaseRecordingExtractor.init(self, stream_id, stream_name, block_index, all_annotations, **neo_kwargs) 59 raise ValueError(f"This reader have several streams: \nNames: {stream_names}\nIDs: {stream_ids}. " 60 f"Specify it with the ‘stram_name’ or ‘stream_id’ arguments") 61 else: —> 62 stream_id = stream_ids[0] 63 stream_name = stream_names[0] 64 else:

IndexError: list index out of range

Here’s a link to the zipped data folder with the ntt files: https://drive.google.com/file/d/1VzxCXIc7ZLL5_0kVqVULEYDVwGIlQWUf/view?usp=sharing

I would appreciate any help on this issue.

[alejoe91]

Exactly! The .NTT contains sorted data, so you need the read sorting function

[ABehal2020]

Given a spike interface extractor, a recording and sorting object may be generated. Does the recording object contain data that is ready to be preprocessed and subsequently spike sorted while the sorting object contains data already sorted for spike trains?