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./usr/share/doc/python-nitime-doc/html/users/\n"}, {"source1": "./usr/share/doc/python-nitime-doc/html/discussion/index.html", "source2": "./usr/share/doc/python-nitime-doc/html/discussion/index.html", "unified_diff": "@@ -16,15 +16,15 @@\n \n \n \n \n \n \n \n- \n+ \n \n \n \n
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  • Release notes for nitime version 0.6
  • \n
  • Release notes for nitime version 0.5
  • \n
  • Release notes for nitime version 0.4
  • \n
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    Filtering and normalizing fMRI data

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    Multivariate auto-regressive modeling - 3 variables

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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -210,17 +210,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Seed_correlation/coherence_with_fMRI_data\n-*** Next topic ***\n Event-related_fMRI\n+*** Next topic ***\n+Multivariate_auto-regressive_modeling_-_3_variables\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_3vars.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_3vars.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -102,17 +102,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multivariate_auto-regressive_modeling\n+Examples\n *** Next topic ***\n-Filtering_and_normalizing_fMRI_data\n+Multivariate_auto-regressive_modeling\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/filtering_fmri.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/filtering_fmri.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -325,17 +325,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Event-related_fMRI\n+Seed_correlation/coherence_with_fMRI_data\n *** Next topic ***\n-Fitting_an_AR_model:_algorithm_module_interface\n+Calculation_of_signal-to-noise_and_information\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/granger_fmri.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/granger_fmri.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -159,17 +159,17 @@\n * NIPY_Projects\n * Mailing_List\n * License\n **** Table_of_Contents ****\n * Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n o References\n *** Previous topic ***\n-Examples\n+Multitaper_method_for_baseband_demodulation\n *** Next topic ***\n-Multitaper_F-test_for_harmonic_components\n+Discussion\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/grasshopper.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/grasshopper.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -138,17 +138,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multitaper_coherence_estimation\n+Multivariate_auto-regressive_modeling_-_3_variables\n *** Next topic ***\n-Calculation_of_signal-to-noise_and_information\n+Fitting_an_MAR_model:_analyzer_interface\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/index.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/index.html", "unified_diff": "@@ -15,15 +15,15 @@\n \n \n \n \n \n \n \n- \n+ \n \n \n \n \n
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    If you want to replicate a particular analysis or visualization, simply copy\n the relevant \u201c.py\u201d script from the source distribution, or download the script\n using the link at the bottom of each page.

    \n

    Thanks to the developers of PyMVPA for designing the software which enables us\n to provide these documented examples!

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  • \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -26,45 +26,45 @@\n functioning python scripts, which are available as part of the source\n distribution in the doc/examples folder.\n If you want to replicate a particular analysis or visualization, simply copy\n the relevant \u00e2\u0080\u009c.py\u00e2\u0080\u009d script from the source distribution, or download the\n script using the link at the bottom of each page.\n Thanks to the developers of PyMVPA for designing the software which enables us\n to provide these documented examples!\n- * Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n- o References\n- * Multitaper_F-test_for_harmonic_components\n- * Fitting_an_MAR_model:_analyzer_interface\n- * Multitaper_method_for_baseband_demodulation\n- o Test_1\n- o Test_2\n- * Seed_correlation/coherence_with_fMRI_data\n- * Multivariate_auto-regressive_modeling\n * Event-related_fMRI\n- * Filtering_and_normalizing_fMRI_data\n- * Fitting_an_AR_model:_algorithm_module_interface\n+ * Multivariate_auto-regressive_modeling\n * Multivariate_auto-regressive_modeling_-_3_variables\n- * Coherency_analysis_of_fMRI_data\n+ * Auditory_processing_in_grasshoppers\n+ * Fitting_an_MAR_model:_analyzer_interface\n * Multitaper_spectral_estimation\n+ * Coherency_analysis_of_fMRI_data\n+ * Fitting_an_AR_model:_algorithm_module_interface\n+ * Multitaper_F-test_for_harmonic_components\n * Multitaper_coherence_estimation\n- * Auditory_processing_in_grasshoppers\n+ * Seed_correlation/coherence_with_fMRI_data\n+ * Filtering_and_normalizing_fMRI_data\n * Calculation_of_signal-to-noise_and_information\n+ * Multitaper_method_for_baseband_demodulation\n+ o Test_1\n+ o Test_2\n+ * Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n+ o References\n *** Site Navigation ***\n * Documentation\n * Development\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n Release_notes_for_nitime_version_0.3\n *** Next topic ***\n-Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n+Event-related_fMRI\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/mtm_baseband_power.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/mtm_baseband_power.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -137,17 +137,17 @@\n * Mailing_List\n * License\n **** Table_of_Contents ****\n * Multitaper_method_for_baseband_demodulation\n o Test_1\n o Test_2\n *** Previous topic ***\n-Fitting_an_MAR_model:_analyzer_interface\n+Calculation_of_signal-to-noise_and_information\n *** Next topic ***\n-Seed_correlation/coherence_with_fMRI_data\n+Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/mtm_harmonic_test.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/mtm_harmonic_test.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -121,17 +121,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n+Fitting_an_AR_model:_algorithm_module_interface\n *** Next topic ***\n-Fitting_an_MAR_model:_analyzer_interface\n+Multitaper_coherence_estimation\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_coh.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_coh.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -200,17 +200,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multitaper_spectral_estimation\n+Multitaper_F-test_for_harmonic_components\n *** Next topic ***\n-Auditory_processing_in_grasshoppers\n+Seed_correlation/coherence_with_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_spectral_estimation.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_spectral_estimation.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -294,17 +294,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Coherency_analysis_of_fMRI_data\n+Fitting_an_MAR_model:_analyzer_interface\n *** Next topic ***\n-Multitaper_coherence_estimation\n+Coherency_analysis_of_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/resting_state_fmri.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/resting_state_fmri.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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  • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -248,17 +248,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multivariate_auto-regressive_modeling_-_3_variables\n-*** Next topic ***\n Multitaper_spectral_estimation\n+*** Next topic ***\n+Fitting_an_AR_model:_algorithm_module_interface\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/seed_analysis.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/seed_analysis.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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