def debugPostNeuron(no_connection, post_index):
"""Debugs a single neuron on the post layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param post_index: The post-index of the neuron
:type post_index: int"""
layers = model.CONNECTIONS[no_connection][0]
neuronset1 = model.CONNECTIONS[no_connection][1]
neuronset2 = model.CONNECTIONS[no_connection][2]
slayer = model.CONNECTIONS[no_connection][3]
connections = model.CONNECTIONS[no_connection][4]
distances = model.CONNECTIONS[no_connection][5]
for s in range(len(layers) - 1, slayer, -1):
post_p3d, post_p2d, post_d = pam.computeMapping(
layers[: s - 2 : -1],
connections[: s - 2 : -1],
distances[: s - 2 : -1],
layers[-1].particle_systems[neuronset2].particles[post_index].location,
debug=True,
)
logger.info("Layer: " + str(s))
logger.info(" post_p3d: " + str(post_p3d))
logger.info(" post_p2d: " + str(post_p2d))
logger.info(" post_d: " + str(post_d))
if post_d is None:
break
logger.info("==========================")
def debugPreNeuron(no_connection, pre_index):
"""Debugs a single neuron on the pre layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param pre_index: The pre-index of the neuron
:type pre_index: int"""
layers = model.CONNECTIONS[no_connection][0]
neuronset1 = model.CONNECTIONS[no_connection][1]
neuronset2 = model.CONNECTIONS[no_connection][2]
slayer = model.CONNECTIONS[no_connection][3]
connections = model.CONNECTIONS[no_connection][4]
distances = model.CONNECTIONS[no_connection][5]
for s in range(2, (slayer + 1)):
pre_p3d, pre_p2d, pre_d = pam.computeMapping(
layers[0:s],
connections[0 : (s - 1)],
distances[0 : (s - 2)] + [pam.DIS_euclidUV],
layers[0].particle_systems[neuronset1].particles[pre_index].location,
debug=True,
)
logger.info("Layer: " + layers[s - 1].name)
logger.info(" pre_p3d: " + str(pre_p3d))
logger.info(" pre_p2d: " + str(pre_p2d))
logger.info(" pre_d: " + str(pre_d))
if pre_d is None:
break
logger.info("==========================")
def debugPostMapping(no_connection):
"""Debugs a specified post-mapping for unconnected neurons
Checks all post-neurons of a connection that do not connect to a different neuron
using the debug mode of pam.computeMapping()
:param no_connection: The connection index of the mapping
:type no_connection: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
neuronIDs = []
logger.info("Checking post mapping " +
str(model.MODEL.connections[no_connection]))
for i in range(0, con.post_layer.neuron_count):
post_p3d, post_p2d, post_d = pam.computeMapping(
layers[:(slayer - 1):-1], connections[:(slayer - 1):-1],
distances[:(slayer - 1):-1], con.post_layer.getNeuronPosition(i))
if post_p3d is None:
neuronIDs.append(i)
if len(neuronIDs):
logger.info(str(len(neuronIDs)) + " neurons unconnected")
else:
logger.info("No unconnected neurons")
for neuronID in neuronIDs:
logger.info("Post-index: " + str(neuronID))
debugPostNeuron(no_connection, neuronID)
def debugPreNeuron(no_connection, pre_index):
"""Debugs a single neuron on the pre layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param pre_index: The pre-index of the neuron
:type pre_index: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
for s in range(2, (slayer + 1)):
pre_p3d, pre_p2d, pre_d = pam.computeMapping(
layers[0:s],
connections[0:(s - 1)],
distances[0:(s - 2)] + [constants.DIS_euclidUV],
con.pre_layer.getNeuronPosition(pre_index),
debug=True)
logger.info("Layer: " + layers[s - 1].name)
logger.info(" pre_p3d: " + str(pre_p3d))
logger.info(" pre_p2d: " + str(pre_p2d))
logger.info(" pre_d: " + str(pre_d))
if pre_d is None:
break
logger.info("==========================")
def debugPostNeuron(no_connection, post_index):
"""Debugs a single neuron on the post layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param post_index: The post-index of the neuron
:type post_index: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
for s in range(len(layers) - 1, slayer, -1):
post_p3d, post_p2d, post_d = pam.computeMapping(
layers[:s - 2:-1],
connections[:s - 2:-1],
distances[:s - 2:-1],
con.post_layer.getNeuronPosition(post_index),
debug=True)
logger.info("Layer: " + str(s))
logger.info(" post_p3d: " + str(post_p3d))
logger.info(" post_p2d: " + str(post_p2d))
logger.info(" post_d: " + str(post_d))
if post_d is None:
break
logger.info("==========================")
def debugPostMapping(no_connection):
"""Debugs a specified post-mapping for unconnected neurons
Checks all post-neurons of a connection that do not connect to a different neuron
using the debug mode of pam.computeMapping()
:param no_connection: The connection index of the mapping
:type no_connection: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
neuronIDs = []
logger.info("Checking post mapping " + str(model.MODEL.connections[no_connection]))
for i in range(0, con.post_layer.neuron_count):
post_p3d, post_p2d, post_d = pam.computeMapping(layers[:(slayer - 1):-1],
connections[:(slayer - 1):-1],
distances[:(slayer - 1):-1],
con.post_layer.getNeuronPosition(i))
if post_p3d is None:
neuronIDs.append(i)
if len(neuronIDs):
logger.info(str(len(neuronIDs)) + " neurons unconnected")
else:
logger.info("No unconnected neurons")
for neuronID in neuronIDs:
logger.info("Post-index: " + str(neuronID))
debugPostNeuron(no_connection, neuronID)
def debugPreNeuron(no_connection, pre_index):
"""Debugs a single neuron on the pre layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param pre_index: The pre-index of the neuron
:type pre_index: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
for s in range(2, (slayer + 1)):
pre_p3d, pre_p2d, pre_d = pam.computeMapping(
layers[0:s],
connections[0:(s - 1)],
distances[0:(s - 2)] + [constants.DIS_euclidUV],
con.pre_layer.getNeuronPosition(pre_index),
debug=True
)
logger.info("Layer: " + layers[s-1].name)
logger.info(" pre_p3d: " + str(pre_p3d))
logger.info(" pre_p2d: " + str(pre_p2d))
logger.info(" pre_d: " + str(pre_d))
if pre_d is None:
break
logger.info("==========================")
def debugPostNeuron(no_connection, post_index):
"""Debugs a single neuron on the post layer of a single mapping
Tries to map the neuron step by step up to the synapse layer, stopping as soon as it fails to connect.
Prints information about every step while doing so.
:param no_connection: The connection index of the mapping
:type no_connection: int
:param post_index: The post-index of the neuron
:type post_index: int"""
con = model.MODEL.connections[no_connection]
layers = con.layers
slayer = con.synaptic_layer_index
connections = con.mapping_connections
distances = con.mapping_distances
for s in range(len(layers) - 1, slayer, -1):
post_p3d, post_p2d, post_d = pam.computeMapping(layers[:s-2:-1],
connections[:s-2:-1],
distances[:s-2:-1],
con.post_layer.getNeuronPosition(post_index),
debug = True)
logger.info("Layer: " + str(s))
logger.info(" post_p3d: " + str(post_p3d))
logger.info(" post_p2d: " + str(post_p2d))
logger.info(" post_d: " + str(post_d))
if post_d is None:
break
logger.info("==========================")
def debugPostMapping(no_connection):
"""Debugs a specified post-mapping for unconnected neurons
Checks all post-neurons of a connection that do not connect to a different neuron
using the debug mode of pam.computeMapping()
:param no_connection: The connection index of the mapping
:type no_connection: int"""
layers = model.CONNECTIONS[no_connection][0]
neuronset1 = model.CONNECTIONS[no_connection][1]
neuronset2 = model.CONNECTIONS[no_connection][2]
slayer = model.CONNECTIONS[no_connection][3]
connections = model.CONNECTIONS[no_connection][4]
distances = model.CONNECTIONS[no_connection][5]
neuronIDs = []
logger.info(
"Checking post mapping "
+ str(model.CONNECTIONS[no_connection][0][0].name)
+ " -> "
+ str(model.CONNECTIONS[no_connection][0][-1].name)
)
for i in range(0, len(layers[-1].particle_systems[neuronset2].particles)):
post_p3d, post_p2d, post_d = pam.computeMapping(
layers[: (slayer - 1) : -1],
connections[: (slayer - 1) : -1],
distances[: (slayer - 1) : -1],
layers[-1].particle_systems[neuronset2].particles[i].location,
)
if post_p3d is None:
neuronIDs.append(i)
if len(neuronIDs):
logger.info(str(len(neuronIDs)) + " neurons unconnected")
else:
logger.info("No unconnected neurons")
for neuronID in neuronIDs:
logger.info("Post-index: " + str(neuronID))
debugPostNeuron(no_connection, neuronID)