allensdk.brain_observatory.receptive_field_analysis.visualization module

allensdk.brain_observatory.receptive_field_analysis.visualization.plot_chi_square_summary(rf_data, ax=None, cax=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_ellipses(gaussian_fit_dict, ax=None, show=True, close=True, save_file_name=None, color='b')[source]

Example Usage: oeid, cell_index, stimulus = 512176430, 12, ‘locally_sparse_noise’ brain_observatory_cache = BrainObservatoryCache() data_set = brain_observatory_cache.get_ophys_experiment_data(oeid) lsn = LocallySparseNoise(data_set, stimulus) result = compute_receptive_field_with_postprocessing(data_set, cell_index, stimulus, alpha=.05, number_of_shuffles=5000) plot_ellipses(result[‘off’][‘gaussian_fit’], color=’r’)

allensdk.brain_observatory.receptive_field_analysis.visualization.plot_fields(on_data, off_data, on_axes, off_axes, cbar_axes=None, clim=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_gaussian_fit(rf_data, ax_on, ax_off, ax_cbar=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_mask(rf_data, ax_on, ax_off, ax_cbar=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_msr_summary(lsn, cell_index, ax_on, ax_off, ax_cbar=None, cmap=None)[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_p_values(rf_data, ax_on, ax_off, ax_cbar=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_receptive_field_data(rf, lsn, show=True, save_file_name=None, close=True, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_rts_blur_summary(rf_data, ax_on, ax_off, ax_cbar=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.plot_rts_summary(rf_data, ax_on, ax_off, ax_cbar=None, cmap='magma')[source]
allensdk.brain_observatory.receptive_field_analysis.visualization.pvalue_to_NLL(p_values, max_NLL=10.0)[source]