Esempio n. 1
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "placeholder", "heatplot_homsyn",
                         "heatplot_heterosyn", "heatplot_hom_het_comparison",
                         "phase1", "phase2", "phase3"
                     ],
                     label_ypos={
                         "placeholder": .9,
                         "heatplot_homsyn": 1.,
                         "heatplot_heterosyn": 1.,
                         "heatplot_hom_het_comparison": 1.,
                         "phase1": 1.,
                         "phase2": 1.,
                         "phase3": 1.
                     },
                     label_xpos={
                         "placeholder": 0.02,
                         "heatplot_heterosyn": 0.02,
                         "heatplot_homosyn": 0.02,
                         "heatplot_hom_het_comparison": 0.02,
                         "phase1": 0.02,
                         "phase2": 0.02,
                         "phase3": 0.02
                     })
Esempio n. 2
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def plot_labels(axes):
    core.plot_labels(axes,
        labels_to_plot=[
            "dummy1",
            "spikes_before_teach",
            "weightpath_euc",
            "weightpath_nat",
            "learningcurve",
            "dummy9",
            "heatplot_homsyn",
            "heatplot_heterosyn",
            "heatplot_hom_het_comparison",
            "attenuation_summary_abs",
            "attenuation_example_abs",
            "var_result_summary",
            "var_result_example"
        ],
       label_ypos = {
             "dummy1":.8,
            "spikes_before_teach":.8,
            "weightpath_euc":.95,
            "weightpath_nat":.95,
            "learningcurve":.95,
            "dummy9":.9,
            "heatplot_homsyn":.95,
            "heatplot_heterosyn":0.95,
            "heatplot_hom_het_comparison":0.95,
            "attenuation_summary_abs":.95,
            "attenuation_example_abs":.95,
            "var_result_summary":.95,
            "var_result_example":.95
            } ,              
               
               
               
       label_xpos = {  "dummy1":-0.2,
            "spikes_before_teach":-0.2,
            "weightpath_euc":-0.2,
            "weightpath_nat":-0.2,
            "learningcurve":-0.2,
            "dummy9":-0.2,
            "heatplot_homsyn":-0.2,
            "heatplot_heterosyn":-0.2,
            "heatplot_hom_het_comparison":-0.2,
            "attenuation_summary_abs":-0.2,
            "attenuation_example_abs":-0.2,
            "var_result_summary":-0.2,
            "var_result_example":-0.2,
           }
        )
Esempio n. 3
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def plot_labels(axes):
    core.plot_labels(axes,
                     labels_to_plot=[
                         "plasticity_hom",
                         "plasticity_het_u",
                         "plasticity_het_p",
                     ],
                     label_ypos={
                         "plasticity_hom": .9,
                         "plasticity_het_u": .9,
                         "plasticity_het_p": .9,
                     },
                     label_xpos={
                         "plasticity_hom": 0.02,
                         "plasticity_het_u": 0.02,
                         "plasticity_het_p": 0.02,
                     })
Esempio n. 4
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def plot_labels(axes):
    core.plot_labels(axes,
        labels_to_plot=[
            "attenuation_example_perc",
            "attenuation_summary_perc",
            "attenuation_example_abs",
            "attenuation_summary_abs",
            "var_hist_hr_ht",
            "var_hist_lr_ht",
            "var_hist_hr_lt",
            "var_highr_hightau",
            "var_lowr_hightau",
            "var_highr_lowtau",
            "var_result_example",
            "var_result_summary"
        ],
        label_ypos = {"attenuation_example_perc":1.,
            "attenuation_summary_perc":1.,
            "attenuation_example_abs":1.,
            "attenuation_summary_abs":1.,
            "var_hist_hr_ht":1.,
            "var_hist_lr_ht":1.,
            "var_hist_hr_lt":1.,
            "var_highr_hightau":1.,
            "var_lowr_hightau":1.,
            "var_highr_lowtau":1.,
            "var_result_example":1.,
            "var_result_summary":1.
                      },
        label_xpos = { "attenuation_example_perc":0.02,
            "attenuation_summary_perc":0.02,
            "attenuation_example_abs":0.02,
            "attenuation_summary_abs":0.02,
            "var_hist_hr_ht":0.02,
            "var_hist_lr_ht":0.02,
            "var_hist_hr_lt":0.02,
            "var_highr_hightau":0.02,
            "var_lowr_hightau":0.02,
            "var_highr_lowtau":0.02,
            "var_result_example":0.02,
            "var_result_summary":0.02
                    }
        )
Esempio n. 5
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def plot_labels(axes):
    core.plot_labels(axes,
        labels_to_plot=[
            "network_schema",
            "spikes_before",            
            "spikes_after",
            #"spikes_before_teach",            
            #"spikes_after_teach",
            #"histo_before",
            #"histo_after",
            #"voltage_before",
            #"voltage_after",
            "weightpath_euc",
            "weightpath_nat",
            "learningcurve"
        ],
        label_ypos = {"network_schema":1.,
            "spikes_before":1.,
            "spikes_after":1.,
            "spikes_before_teach":1.,            
            "spikes_after_teach":1.,
            "histo_before":1.,
            "histo_after":1.,
            "voltage_before":1.,
            "voltage_after":1.,
            "weightpath_euc":1.,
            "weightpath_nat":1.,
            "learningcurve":1.,
                      },
        label_xpos = { "network_schema": 0.02,
                      "spikes_before":0.02,
                      "spikes_after":0.02,
                      "spikes_before":0.02,            
                      "spikes_after":0.02,
                      "histo_before":0.02,
                      "histo_after":0.02,
                      "voltage_before":0.02,
                    "voltage_after":0.02,
                    "weightpath_euc":0.02,
                    "weightpath_nat":0.02,
                    "learningcurve":0.02
                    }
        )