def buildFromSkidList(myList):
#sets list of all skeleton IDs
mySkels = myList
#creates dictionary with keys as str(skel IDs) and values as number of synapses with GF1
myGF1Connectivity = GetGF1Connectivity.removeExtra()
#creates dictionary with key-value pairs of str(skelID) and list of str(annotations)
myAnnotations = GetListOfSkIDAndAnnotations.getMyAnnotations()
#creates a dictionary with key-value pairs of int(skelID) and and str(neuron name)
myNames = GetAnnotationsRemoveExtraneousInfo.getLookUpTableSkID_Name()
#creates empty list to be filled with all instances
myNeurons = []
#creates list of of all instances while setting each instance's name and skeletonID to be an element from mySkls
for i in mySkels:
x = GFinputNeuron(i)
myNeurons.append(x)
# converts skeletonID attribute to string for use as dictionary key then adds all available synapses from dictionary of synapses and all available annotations from dictionary of annotations
for elem in myNeurons:
y = elem.skeletonID
z = str(y)
if z in myGF1Connectivity:
elem.GF1synapseCount = myGF1Connectivity[z]
if z in myAnnotations:
elem.annotations = myAnnotations[z]
p = elem.annotations
if y in myNames:
elem.neuronName = myNames[y]
return myNeurons
def builder(SKID=None):
if SKID is None:
# sets list of all skeleton IDs
mySkels = GetAnnotationsRemoveExtraneousInfo.getListOfSkID_int()
for i in mySkels:
mySkels.append(int(i))
myNeurons = []
for i in mySkels:
x = neuronSet(i)
myNeurons.append(x)
else:
SKID = int(SKID)
myNeurons = []
x = neuronSet(SKID)
myNeurons.append(x)
myAnnotations = GetListOfSkIDAndAnnotations.getMyAnnotations()
myNames = GetAnnotationsRemoveExtraneousInfo.getLookUpTableSkID_Name()
return myNeurons
def getNeuronName(self):
y = self.skeletonID
z = str(y)
myNames = GetAnnotationsRemoveExtraneousInfo.getLookUpTableSkID_Name()
if y in myNames:
self.neuronName = myNames[y]
return self.neuronName
def builder(SKID=None):
if SKID is None:
# sets list of all skeleton IDs
mySkels = GetAnnotationsRemoveExtraneousInfo.getListOfSkID_int()
# creates dictionary with keys as str(skel IDs) and values as number of synapses with GF1
myGF1Connectivity = GetGF1Connectivity.removeExtra()
myGF2Connectivity = GetGF1Connectivity.removeExtra(
skeleton_id='291870')
# creates empty list to be filled with all instances
myNeurons = []
# creates list of of all instances while setting each instance's name and skeletonID to be an element from
# mySkls
for i in mySkels:
x = GFinputNeuron(i)
myNeurons.append(x)
else:
SKID = int(SKID)
myNeurons = []
x = GFinputNeuron(SKID)
myNeurons.append(x)
myGF1Connectivity = []
myGF2Connectivity = []
# creates dictionary with key-value pairs of str(skelID) and list of str(annotations)
myAnnotations = GetListOfSkIDAndAnnotations.getMyAnnotations()
# creates a dictionary with key-value pairs of int(skelID) and and str(neuron name)
myNames = GetAnnotationsRemoveExtraneousInfo.getLookUpTableSkID_Name()
myCommissures = GetAnnotationsRemoveExtraneousInfo.queryByMetaAnnotation(
'commissure')
myClassTypes = GetAnnotationsRemoveExtraneousInfo.queryByMetaAnnotation(
'classType')
# converts skeletonID attribute to string for use as dictionary key then adds all available synapses from
# dictionary of synapses and all available annotations from dictionary of annotations
for elem in myNeurons:
y = elem.skeletonID
z = str(y)
if z in myGF1Connectivity:
elem.GF1synapseCount = myGF1Connectivity[z]
else:
elem.GF1synapseCount = 0
if z in myGF2Connectivity:
elem.GF2synapseCount = myGF2Connectivity[z]
else:
elem.GF2synapseCount = 0
if z in myAnnotations:
elem.annotations = myAnnotations[z]
p = elem.annotations
for abc in p:
if (
'Unclassified' in abc or 'LC4' in abc or 'LPLC2' in abc or 'JONeuron' in abc or 'GCI' in abc
or 'putative DN' in abc) and 'synaptic' not in abc and 'andGFN' not in \
abc and 'HK' not in abc and 'Exploration' not in abc and 'type 37' not in abc and 'type 38' \
not in abc and 'type 44' not in abc and 'type 48' not in abc and 'miscellaneous' not in abc \
and "Ascending" not in abc and "Descending" not in abc and "shared" not in abc:
elem.classification = abc
if 'RIGHT' in abc or 'LEFT' in abc or 'midLine' in abc:
if elem.hemisphere is None:
elem.hemisphere = abc
elem.somaSide = abc
if "JON" in abc and "synaptic" not in abc:
elem.classification = abc
if elem.commissure is None:
if abc in myCommissures:
elem.commissure = abc
if elem.classType is None:
if abc in myClassTypes:
elem.classType = abc
if elem.cellBodyRind is None:
if 'CBR' in abc and len(abc) == 4:
elem.cellBodyRind = abc
if "JONeuron" in elem.annotations:
elem.identification = 'JONeuron'
if elem.hemisphere is None:
elem.hemisphere = "RIGHT HEMISPHERE"
elem.somaSide = "RIGHT HEMISPHERE"
if elem.commissure is None and 'Bilateral' not in elem.annotations:
elem.commissure = 'unilateral'
if y in myNames:
elem.neuronName = myNames[y]
return myNeurons
def builder(SKID=None):
if SKID is None:
#sets list of all skeleton IDs
mySkels = GetAnnotationsRemoveExtraneousInfo.getListOfSkID_int()
#creates dictionary with keys as str(skel IDs) and values as number of synapses with DNright
myDNrightConnectivity = GetDNrightConnectivity.removeExtra()
#creates empty list to be filled with all instances
myNeurons = []
#creates list of of all instances while setting each instance's name and skeletonID to be an element from mySkls
for i in mySkels:
x = DNinputNeuron(i)
myNeurons.append(x)
else:
SKID = int(SKID)
myNeurons = []
x = DNinputNeuron(SKID)
myNeurons.append(x)
myDNrightConnectivity = []
#creates dictionary with key-value pairs of str(skelID) and list of str(annotations)
myAnnotations = GetListOfSkIDAndAnnotations.getMyAnnotations()
#creates a dictionary with key-value pairs of int(skelID) and and str(neuron name)
myNames = GetAnnotationsRemoveExtraneousInfo.getLookUpTableSkID_Name()
# converts skeletonID attribute to string for use as dictionary key then adds all available synapses from dictionary of synapses and all available annotations from dictionary of annotations
for elem in myNeurons:
y = elem.skeletonID
z = str(y)
if z in myDNrightConnectivity:
elem.DNrightsynapseCount = myDNrightConnectivity[z]
else:
elem.DNrightsynapseCount = 0
if z in myAnnotations:
elem.annotations = myAnnotations[z]
p = elem.annotations
for abc in p:
if ('Unclassified' in abc or 'LC4' in abc or 'LPLC2' in abc
or 'JO' in abc or 'B1' in abc or 'GCI' in abc
or 'Halted' in abc or 'Neuron Fragment' in abc
or 'Hampel' in abc or 'incomplete neuron' in abc
or 'DN' in abc) and 'synaptic' not in abc:
elem.classification = abc
#if ('type 37' in abc or 'type 38' in abc or 'type 44' in abc or 'JO' in abc:
# elem.classification = 'JO'
if elem.classification is None:
elem.classification = "Other"
if "Descending" in abc or 'Ascending' in abc:
if 'Unclassified' in elem.classification and 'type' not in elem.classification:
elem.classification = "Unclassified {} DN input neuron".format(
abc)
if 'RIGHT' in abc or 'LEFT' in abc:
if elem.hemisphere is None:
elem.hemisphere = abc
if 'Bilateral' in abc:
elem.hemisphere = abc
if elem.hemisphere is None:
elem.hemisphere = "RIGHT HEMISPHERE"
if y in myNames:
elem.neuronName = myNames[y]
return myNeurons