forked from celiasmith/syde556
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learning3-consolidation.py.cfg
executable file
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learning3-consolidation.py.cfg
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_viz_0 = nengo_gui.components.Value(both)
_viz_config[_viz_0].max_value = 1
_viz_config[_viz_0].min_value = -1
_viz_config[_viz_0].legend_labels = [u'post', u' target']
_viz_config[_viz_0].height = 0.24419889502762432
_viz_config[_viz_0].label_visible = True
_viz_config[_viz_0].width = 0.1584601611459266
_viz_config[_viz_0].show_legend = True
_viz_config[_viz_0].y = 0.553558822538534
_viz_config[_viz_0].x = 0.7263304875096088
_viz_1 = nengo_gui.components.Slider(context)
_viz_config[_viz_1].label_visible = True
_viz_config[_viz_1].width = 0.05767012687427912
_viz_config[_viz_1].x = 0.04440599769319495
_viz_config[_viz_1].y = 0.5301925371070638
_viz_config[_viz_1].max_value = 1
_viz_config[_viz_1].min_value = -1
_viz_config[_viz_1].height = 0.1594896331738437
_viz_2 = nengo_gui.components.Value(pre)
_viz_config[_viz_2].max_value = 1
_viz_config[_viz_2].min_value = -1
_viz_config[_viz_2].legend_labels = [u'label_0']
_viz_config[_viz_2].height = 0.1140323255621075
_viz_config[_viz_2].label_visible = True
_viz_config[_viz_2].width = 0.09630711433384245
_viz_config[_viz_2].show_legend = False
_viz_config[_viz_2].y = 0.08270309204095223
_viz_config[_viz_2].x = 0.172241445597847
_viz_3 = nengo_gui.components.Slider(stop_learn)
_viz_config[_viz_3].label_visible = True
_viz_config[_viz_3].width = 0.04325258635594633
_viz_config[_viz_3].x = 0.2741508568306297
_viz_config[_viz_3].y = 0.4097467552611884
_viz_config[_viz_3].max_value = 1
_viz_config[_viz_3].min_value = 0
_viz_config[_viz_3].height = 0.09728865189985796
_viz_ace_editor = nengo_gui.components.AceEditor()
_viz_net_graph = nengo_gui.components.NetGraph()
_viz_sim_control = nengo_gui.components.SimControl()
_viz_config[_viz_sim_control].kept_time = 4.0
_viz_config[_viz_sim_control].shown_time = 0.5
_viz_config[both].pos=(0.5600948310221051, 0.5507911901096556)
_viz_config[both].size=(0.1, 0.1)
_viz_config[context].pos=(0.04140308532983999, 0.7919607562877468)
_viz_config[context].size=(0.0261437908496732, 0.05161290322580646)
_viz_config[error].pos=(0.3566435263346475, 0.5425043141220942)
_viz_config[error].size=(0.0326797385620915, 0.06451612903225808)
_viz_config[model].pos=(0.036292893196054554, 0.048947384128810056)
_viz_config[model].size=(1.0082656740653173, 1.0082656740653173)
_viz_config[model].expanded=True
_viz_config[model].has_layout=True
_viz_config[post].pos=(0.4692425990003803, 0.23797911200288135)
_viz_config[post].size=(0.0326797385620915, 0.06451612903225808)
_viz_config[pre].pos=(0.1770472895040369, 0.23908010495446816)
_viz_config[pre].size=(0.0326797385620915, 0.06451612903225808)
_viz_config[pre_value].pos=(0.05286428296808919, 0.24226989761794498)
_viz_config[pre_value].size=(0.0261437908496732, 0.05161290322580646)
_viz_config[stop_learn].pos=(0.27116728785475813, 0.5884353515398153)
_viz_config[stop_learn].size=(0.016293643688451154, 0.02810026427427903)
_viz_config[target].pos=(0.46342308740581206, 0.7718400944062193)
_viz_config[target].size=(0.0326797385620915, 0.06451612903225808)
_viz_config[wm].pos=(0.22423514939363523, 0.7792015856338385)
_viz_config[wm].size=(0.0326797385620915, 0.06451612903225808)