def save_session_c2(self, lsn4, lsn8, nm1, nm2, peak):
""" Save the output of session C2 analysis to self.save_path.
Parameters
----------
lsn4: LocallySparseNoise instance
This LocallySparseNoise instance should have been created with
self.stimulus = stimulus_info.LOCALLY_SPARSE_NOISE_4DEG.
lsn8: LocallySparseNoise instance
This LocallySparseNoise instance should have been created with
self.stimulus = stimulus_info.LOCALLY_SPARSE_NOISE_8DEG.
nm1: NaturalMovie instance
This NaturalMovie instance should have been created with
movie_name = stimulus_info.NATURAL_MOVIE_ONE
nm2: NaturalMovie instance
This NaturalMovie instance should have been created with
movie_name = stimulus_info.NATURAL_MOVIE_TWO
peak: pd.DataFrame
The combined peak response property table created in self.session_c2().
"""
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_lsn4', lsn4.stim_table),
('stim_table_lsn8', lsn8.stim_table),
('sweep_response_nm1', nm1.sweep_response), ('peak', peak),
('sweep_response_nm2', nm2.sweep_response),
('sweep_response_lsn4', lsn4.sweep_response),
('sweep_response_lsn8', lsn8.sweep_response),
('mean_sweep_response_lsn4', lsn4.mean_sweep_response),
('mean_sweep_response_lsn8', lsn8.mean_sweep_response))
merge_mean_response = LocallySparseNoise.merge_mean_response(
lsn4.mean_response, lsn8.mean_response)
nwb.save_analysis_arrays(
('mean_response_lsn4', lsn4.mean_response),
('mean_response_lsn8', lsn8.mean_response),
('receptive_field_lsn4', lsn4.receptive_field),
('receptive_field_lsn8', lsn8.receptive_field),
('merge_mean_response', merge_mean_response),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis))
LocallySparseNoise.save_cell_index_receptive_field_analysis(
lsn4.cell_index_receptive_field_analysis_data, nwb,
stimulus_info.LOCALLY_SPARSE_NOISE_4DEG)
LocallySparseNoise.save_cell_index_receptive_field_analysis(
lsn8.cell_index_receptive_field_analysis_data, nwb,
stimulus_info.LOCALLY_SPARSE_NOISE_8DEG)
def save_session_c2(self, lsn4, lsn8, nm1, nm2, peak):
""" Save the output of session C2 analysis to self.save_path.
Parameters
----------
lsn4: LocallySparseNoise instance
This LocallySparseNoise instance should have been created with
self.stimulus = stimulus_info.LOCALLY_SPARSE_NOISE_4DEG.
lsn8: LocallySparseNoise instance
This LocallySparseNoise instance should have been created with
self.stimulus = stimulus_info.LOCALLY_SPARSE_NOISE_8DEG.
nm1: NaturalMovie instance
This NaturalMovie instance should have been created with
movie_name = stimulus_info.NATURAL_MOVIE_ONE
nm2: NaturalMovie instance
This NaturalMovie instance should have been created with
movie_name = stimulus_info.NATURAL_MOVIE_TWO
peak: pd.DataFrame
The combined peak response property table created in self.session_c2().
"""
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_lsn4', lsn4.stim_table),
('stim_table_lsn8', lsn8.stim_table),
('sweep_response_nm1', nm1.sweep_response),
('peak', peak),
('sweep_response_nm2', nm2.sweep_response),
('sweep_response_lsn4', lsn4.sweep_response),
('sweep_response_lsn8', lsn8.sweep_response),
('mean_sweep_response_lsn4', lsn4.mean_sweep_response),
('mean_sweep_response_lsn8', lsn8.mean_sweep_response))
merge_mean_response = LocallySparseNoise.merge_mean_response(
lsn4.mean_response,
lsn8.mean_response)
nwb.save_analysis_arrays(
('mean_response_lsn4', lsn4.mean_response),
('mean_response_lsn8', lsn8.mean_response),
('receptive_field_lsn4', lsn4.receptive_field),
('receptive_field_lsn8', lsn8.receptive_field),
('merge_mean_response', merge_mean_response),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis))
LocallySparseNoise.save_cell_index_receptive_field_analysis(lsn4.cell_index_receptive_field_analysis_data, nwb, stimulus_info.LOCALLY_SPARSE_NOISE_4DEG)
LocallySparseNoise.save_cell_index_receptive_field_analysis(lsn8.cell_index_receptive_field_analysis_data, nwb, stimulus_info.LOCALLY_SPARSE_NOISE_8DEG)
def save_session_c(self, lsn, nm1, nm2, peak):
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_lsn', lsn.stim_table),
('sweep_response_nm1', nm1.sweep_response), ('peak', peak),
('sweep_response_nm2', nm2.sweep_response),
('sweep_response_lsn', lsn.sweep_response),
('mean_sweep_response_lsn', lsn.mean_sweep_response))
nwb.save_analysis_arrays(('receptive_field_lsn', lsn.receptive_field),
('celltraces_dff', nm1.dfftraces),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis))
def save_session_a(self, dg, nm1, nm3, peak):
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_dg', dg.stim_table),
('sweep_response_dg', dg.sweep_response),
('mean_sweep_response_dg', dg.mean_sweep_response), ('peak', peak),
('sweep_response_nm1', nm1.sweep_response),
('stim_table_nm1', nm1.stim_table),
('sweep_response_nm3', nm3.sweep_response))
nwb.save_analysis_arrays(('celltraces_dff', nm1.dfftraces),
('response_dg', dg.response),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis))
def save_session_c(self, lsn, nm1, nm2, peak):
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_lsn', lsn.stim_table),
('sweep_response_nm1', nm1.sweep_response),
('peak', peak),
('sweep_response_nm2', nm2.sweep_response),
('sweep_response_lsn', lsn.sweep_response),
('mean_sweep_response_lsn', lsn.mean_sweep_response))
nwb.save_analysis_arrays(
('receptive_field_lsn', lsn.receptive_field),
('celltraces_dff', nm1.dfftraces),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis))
def save_session_a(self, dg, nm1, nm3, peak):
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_dg', dg.stim_table),
('sweep_response_dg', dg.sweep_response),
('mean_sweep_response_dg', dg.mean_sweep_response),
('peak', peak),
('sweep_response_nm1', nm1.sweep_response),
('stim_table_nm1', nm1.stim_table),
('sweep_response_nm3', nm3.sweep_response))
nwb.save_analysis_arrays(
('celltraces_dff', nm1.dfftraces),
('response_dg', dg.response),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis))
def save_session_b(self, sg, nm1, ns, peak):
""" Save the output of session B analysis to self.save_path.
Parameters
----------
sg: StaticGratings instance
nm1: NaturalMovie instance
This NaturalMovie instance should have been created with
movie_name = stimulus_info.NATURAL_MOVIE_ONE
ns: NaturalScenes instance
peak: pd.DataFrame
The combined peak response property table created in self.session_b().
"""
nwb = BrainObservatoryNwbDataSet(self.save_path)
nwb.save_analysis_dataframes(
('stim_table_sg', sg.stim_table),
('sweep_response_sg', sg.sweep_response),
('mean_sweep_response_sg', sg.mean_sweep_response),
('sweep_response_nm1', nm1.sweep_response),
('stim_table_nm1', nm1.stim_table),
('sweep_response_ns', ns.sweep_response),
('stim_table_ns', ns.stim_table),
('mean_sweep_response_ns', ns.mean_sweep_response),
('peak', peak))
nwb.save_analysis_arrays(
('response_sg', sg.response),
('response_ns', ns.response),
('binned_cells_sp', nm1.binned_cells_sp),
('binned_cells_vis', nm1.binned_cells_vis),
('binned_dx_sp', nm1.binned_dx_sp),
('binned_dx_vis', nm1.binned_dx_vis),
('noise_corr_sg', sg.noise_correlation),
('signal_corr_sg', sg.signal_correlation),
('rep_similarity_sg', sg.representational_similarity),
('noise_corr_ns', ns.noise_correlation),
('signal_corr_ns', ns.signal_correlation),
('rep_similarity_ns', ns.representational_similarity)
)
