allensdk.brain_observatory.ecephys.stimulus_analysis.flashes module¶
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class
allensdk.brain_observatory.ecephys.stimulus_analysis.flashes.
Flashes
(ecephys_session, col_color='color', trial_duration=0.25, **kwargs)[source]¶ Bases:
allensdk.brain_observatory.ecephys.stimulus_analysis.stimulus_analysis.StimulusAnalysis
A class for computing single-unit metrics from the full-field flash stimulus of an ecephys session NWB file.
- To use, pass in a EcephysSession object::
- session = EcephysSession.from_nwb_path(‘/path/to/my.nwb’) fl_analysis = Flashes(session)
- or, alternatively, pass in the file path::
- fl_analysis = Flashes(‘/path/to/my.nwb’)
You can also pass in a unit filter dictionary which will only select units with certain properties. For example to get only those units which are on probe C and found in the VISp area:
fl_analysis = Flashes(session, filter={'location': 'probeC', 'ecephys_structure_acronym': 'VISp'})
- To get a table of the individual unit metrics ranked by unit ID::
- metrics_table_df = fl_analysis.metrics()
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METRICS_COLUMNS
¶
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colors
¶ Array of ‘color’ conditions (black vs. white flash)
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classmethod
known_stimulus_keys
()[source]¶ Used for discovering the correct stimulus_name key for a given StimulusAnalysis subclass (when stimulus_key is not explicity set). Should return a list of “stimulus_name” strings.
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metrics
¶ Returns a pandas DataFrame of the stimulus response metrics for each unit.
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name
¶ Return the stimulus name.
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null_condition
¶ Stimulus condition ID for null stimulus (not used, so set to -1)
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number_colors
¶ Number of ‘color’ conditions (black vs. white flash)