import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization( "VogeslAbbott2005Big", directory, ParamFilterQuery( ParameterSet({"ads_unique": False, "rec_unique": False, "params": ParameterSet({"sheet_name": "V1_Exc_L4"})}) ), value_names=None, filename="Exc.png", resolution=30, treat_nan_as_zero=True, ranges={"Mean(Firing rate)": (0, 20), "Mean(Correlation coefficient(psth (bin=5.0)))": (0, 0.2)}, ) single_value_visualization( "VogeslAbbott2005Big", directory, ParamFilterQuery( ParameterSet({"ads_unique": False, "rec_unique": False, "params": ParameterSet({"sheet_name": "V1_Inh_L4"})}) ), value_names=None, filename="Inh.png", resolution=30,
from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] #single_value_visualization("MorganTaylorModel",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})),value_names=['Median(corrcoef(inh. conductance trial-to-trial mean,exc. conductance trial-to-trial mean))','Mean HWHH difference','Median HWHH difference', 'Mean(corrcoef(inh. conductance trial-to-trial mean,exc. conductance trial-to-trial mean))', 'Mean HWHH of responsive neurons', 'Median HWHH of responsive neurons','Mean(Correlation coefficient(psth (bin=10.0)))'],filename='Exc.png',resolution=None,treat_nan_as_zero=True,ranges={'Mean HWHH of responsive neurons' : (15,30), 'Mean HWHH difference' : (0,15), 'Faild fits percantage' : (0,0.2)}) single_value_visualization("MorganTaylorModel", directory, ParamFilterQuery( ParameterSet({ 'ads_unique': False, 'rec_unique': False, 'params': ParameterSet({'sheet_name': 'V1_Exc_L4'}) })), filename='Exc.png', resolution=None, treat_nan_as_zero=True, ranges={ 'Mean HWHH of responsive neurons': (15, 30), 'Mean HWHH difference': (0, 15), 'Faild fits percantage': (0, 0.2) }) #export_SingleValues_as_matricies("MorganTaylorModel",directory,ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})))
setup_logging() single_value_visualization("VogeslAbbott2005", directory, ParamFilterQuery( ParameterSet({ 'ads_unique': False, 'rec_unique': False, 'params': ParameterSet({'sheet_name': 'Exc1'}) })), value_names=None, filename='Exc.png', resolution=None, treat_nan_as_zero=True, ranges={ 'Mean(Firing rate)': (0, 20), 'Mean(CV of ISI squared)': (0, 1.0), 'Mean(Correlation coefficient(psth (bin=5.0)))': (0, 0.2), 'Mean(Var(ECond)/Var(ICond))': (0, 1.0), 'Mean(Var(ECond))': (0, 0.002), 'Mean(Mean(ECond))': (0, 0.03), 'Mean(Mean(ICond))': (0, 0.05), 'Mean(Mean(ECond)/Mean(ICond))': (0, 0.8) }) #single_value_visualization("VogeslAbbott2005",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4'})})),
from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("VogeslAbbott2005Big", directory, ParamFilterQuery( ParameterSet({ 'ads_unique': False, 'rec_unique': False, 'params': ParameterSet({'sheet_name': 'V1_Exc_L4'}) })), value_names=None, filename='Exc.png', resolution=30, treat_nan_as_zero=True, ranges={ 'Mean(Firing rate)': (0, 20), 'Mean(Correlation coefficient(psth (bin=5.0)))': (0, 0.2) }) single_value_visualization("VogeslAbbott2005Big", directory, ParamFilterQuery( ParameterSet({ 'ads_unique':
from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("SelfSustainedPushPull", directory, ParamFilterQuery( ParameterSet({ 'ads_unique': False, 'rec_unique': False, 'params': ParameterSet({'sheet_name': 'V1_Exc_L4'}) })), value_names=None, filename='Exc.png', resolution=60, treat_nan_as_zero=True, ranges={ 'Mean(Firing rate)': (0, 20), 'Mean(CV of ISI squared)': (0, 3.0), 'Mean(Correlation coefficient(psth (bin=5.0)))': (0, 0.2) }) #single_value_visualization("VogeslAbbottPushPull",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4'})})), # value_names=None,filename='Inh.png',resolution=60,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20),'Mean(CV of ISI squared)' : (0,3.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2)})
import matplotlib matplotlib.use('Agg') import sys from mozaik.meta_workflow.analysis import export_SingleValues_as_matricies from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] #single_value_visualization("MorganTaylorModel",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})),value_names=['Median(corrcoef(inh. conductance trial-to-trial mean,exc. conductance trial-to-trial mean))','Mean HWHH difference','Median HWHH difference', 'Mean(corrcoef(inh. conductance trial-to-trial mean,exc. conductance trial-to-trial mean))', 'Mean HWHH of responsive neurons', 'Median HWHH of responsive neurons','Mean(Correlation coefficient(psth (bin=10.0)))'],filename='Exc.png',resolution=None,treat_nan_as_zero=True,ranges={'Mean HWHH of responsive neurons' : (15,30), 'Mean HWHH difference' : (0,15), 'Faild fits percantage' : (0,0.2)}) single_value_visualization("MorganTaylorModel",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})),filename='Exc.png',resolution=None,treat_nan_as_zero=True,ranges={'Mean HWHH of responsive neurons' : (15,30), 'Mean HWHH difference' : (0,15), 'Faild fits percantage' : (0,0.2)}) #export_SingleValues_as_matricies("MorganTaylorModel",directory,ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})))
import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.meta_workflow.analysis import collect_results_from_parameter_search from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("SelfSustainedPushPull",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4','st_name' : 'InternalStimulus', 'st_direct_stimulation_name' : 'None'})})), value_names=None,filename='Exc.png',resolution=20,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,60),'Mean(CV of ISI squared)' : (0,1.0)}) #single_value_visualization("SelfSustainedPushPull",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4','st_name' : 'InternalStimulus', 'st_direct_stimulation_name' : 'None'})})), # value_names=None,filename='Inh.png',resolution=20,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,60),'Mean(CV of ISI squared)' : (0,1.0)})
import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("Boustani2007",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})), value_names=None,filename='Exc.png',resolution=30,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2), 'Mean(CV of ISI squared)' : (0,2.0)}) #single_value_visualization("Boustani2007",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4'})})), # value_names=None,filename='Inh.png',resolution=30,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2), 'Mean(CV of ISI squared)' : (0,2.0)}) #'Mean(CV of ISI squared)' : (0,0.1)
from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization( "VogeslAbbott2005", directory, ParamFilterQuery( ParameterSet({ "ads_unique": False, "rec_unique": False, "params": ParameterSet({"sheet_name": "Exc_Layer"}), })), value_names=None, filename="Exc.png", resolution=20, treat_nan_as_zero=True, ranges={ "Mean(Firing rate)": (0, 60), "Mean(CV of ISI squared)": (0, 1.0), "Mean(Correlation coefficient(psth (bin=5.0)))": (0, 0.2), }, ) single_value_visualization( "VogeslAbbott2005", directory, ParamFilterQuery( ParameterSet({
import mozaik import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.controller import setup_logging from mozaik.storage.queries import * from parameters import ParameterSet print len(sys.argv) assert len(sys.argv) == 2 directory = sys.argv[1] setup_logging() single_value_visualization("VogeslAbbott2005",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'Exc1'})})), value_names=None,filename='Exc.png',resolution=None,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20),'Mean(CV of ISI squared)' : (0,1.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2), 'Mean(Var(ECond)/Var(ICond))' : (0,1.0),'Mean(Var(ECond))' : (0,0.002),'Mean(Mean(ECond))' : (0,0.03),'Mean(Mean(ICond))' : (0,0.05),'Mean(Mean(ECond)/Mean(ICond))' : (0,0.8)}) #single_value_visualization("VogeslAbbott2005",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4'})})), # value_names=None,filename='Inh.png',resolution=None,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,60),'Mean(CV of ISI squared)' : (0,2.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2), 'Mean(Var(ECond)/Var(ICond))' : (0,1.0),'Mean(Var(Econd))' : (0,0.002)})
import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("VogeslAbbott2005",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'Exc_Layer'})})), value_names=None,filename='Exc.png',resolution=20,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,60),'Mean(CV of ISI squared)' : (0,1.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2)}) single_value_visualization("VogeslAbbott2005",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'Inh_Layer'})})), value_names=None,filename='Inh.png',resolution=20,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,60),'Mean(CV of ISI squared)' : (0,1.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2)})
assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("SelfSustainedPushPull", directory, ParamFilterQuery( ParameterSet({ 'ads_unique': False, 'rec_unique': False, 'params': ParameterSet({ 'sheet_name': 'V1_Exc_L4', 'st_name': 'InternalStimulus', 'st_direct_stimulation_name': 'None' }) })), value_names=None, filename='Exc.png', resolution=20, treat_nan_as_zero=True, ranges={ 'Mean(Firing rate)': (0, 60), 'Mean(CV of ISI squared)': (0, 1.0) }) #single_value_visualization("SelfSustainedPushPull",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4','st_name' : 'InternalStimulus', 'st_direct_stimulation_name' : 'None'})})),
import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization( "SelfSustainedPushPull", directory, ParamFilterQuery( ParameterSet({"ads_unique": False, "rec_unique": False, "params": ParameterSet({"sheet_name": "V1_Exc_L4"})}) ), value_names=None, filename="Exc.png", resolution=60, treat_nan_as_zero=True, ranges={ "Mean(Firing rate)": (0, 20), "Mean(CV of ISI squared)": (0, 3.0), "Mean(Correlation coefficient(psth (bin=5.0)))": (0, 0.2), }, ) # single_value_visualization("VogeslAbbottPushPull",directory, # ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Inh_L4'})})), # value_names=None,filename='Inh.png',resolution=60,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20),'Mean(CV of ISI squared)' : (0,3.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2)})
import sys from mozaik.meta_workflow.visualization import single_value_visualization from mozaik.storage.queries import * from parameters import ParameterSet assert len(sys.argv) == 2 directory = sys.argv[1] single_value_visualization("VogeslAbbott2005PushPullFixedKBackgroundCurrent",directory, ParamFilterQuery(ParameterSet({'ads_unique' : False, 'rec_unique' : False, 'params' : ParameterSet({'sheet_name' : 'V1_Exc_L4'})})), value_names=None,filename='Exc.png',resolution=60,treat_nan_as_zero=True,ranges={'Mean(Firing rate)' : (0,20),'Mean(CV of ISI squared)' : (0,3.0), 'Mean(Correlation coefficient(psth (bin=5.0)))' : (0,0.2)})