def LoadConnections(self, connectionType, regionName,
iteration): # loads connections (can be more then one)
self.dumpFolderPath = os.path.splitext(
self.databaseFilePath)[0] + "_dumpData"
if connectionType != '':
connectionType = "_" + connectionType
try:
with open(
os.path.join(self.dumpFolderPath,
str(regionName) + "_" + str(iteration)) +
connectionType + ".dump", "rb") as f:
connections = Connections.load(f.read())
except FileNotFoundError:
connections = None
return connections
data = []
for cell in range(connections.numCells()):
for seg in connections.segmentsForCell(cell):
for syn in connections.synapsesForSegment(seg):
datum = connections.permanenceForSynapse(syn)
data.append(datum)
plt.figure("Histogram of Synapse Permanences")
plt.hist(data, bins=100, range=(0, 1))
plt.axvline(connections.connectedThreshold, color='red')
plt.title("Histogram of Synapse Permanences")
plt.ylabel("Number of Synapses")
plt.xlabel("Permanence of Synapse")
if show:
plt.show()
if __name__ == '__main__':
import argparse
# Accept location of data dump from command line
parser = argparse.ArgumentParser()
parser.add_argument('connections_save_file')
args = parser.parse_args()
# Load and run the connections object.
with open(args.connections_save_file, 'rb') as data_file:
data = data_file.read()
# TODO: Try both pickle and load, use whichever works.
C = Connections.load(data)
main(C)