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- """
- Class for reading data from Neuralynx files.
- This IO supports NCS, NEV and NSE file formats.
- Depends on: numpy
- Supported: Read
- Author: Julia Sprenger, Carlos Canova
- """
- from neo.io.basefromrawio import BaseFromRaw
- from neo.rawio.neuralynxrawio import NeuralynxRawIO
- class NeuralynxIO(NeuralynxRawIO, BaseFromRaw):
- """
- Class for reading data from Neuralynx files.
- This IO supports NCS, NEV, NSE and NTT file formats.
- NCS contains signals for one channel
- NEV contains events
- NSE contains spikes and waveforms for mono electrodes
- NTT contains spikes and waveforms for tetrodes
- """
- _prefered_signal_group_mode = 'group-by-same-units'
- mode = 'dir'
- def __init__(self, dirname, use_cache=False, cache_path='same_as_resource',
- keep_original_times=False):
- """
- Initialise IO instance
- Parameters
- ----------
- dirname : str
- Directory containing data files
- use_cache : bool, optional
- Cache results of initial file scans for faster loading in subsequent runs.
- Default: False
- cache_path : str, optional
- Folder path to use for cache files.
- Default: 'same_as_resource'
- keep_original_times : bool
- Preserve original time stamps as in data files. By default datasets are
- shifted to begin at t_start = 0*pq.second.
- Default: False
- """
- NeuralynxRawIO.__init__(self, dirname=dirname, use_cache=use_cache,
- cache_path=cache_path, keep_original_times=keep_original_times)
- BaseFromRaw.__init__(self, dirname)
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