[Pybrainsim-activity] SF.net SVN: pybrainsim:[42] trunk/src/Head.py

[<rg...@us...>]

Revision: 42
          http://pybrainsim.svn.sourceforge.net/pybrainsim/?rev=42&view=rev
Author:   rgoj
Date:     2009-08-02 18:47:20 +0000 (Sun, 02 Aug 2009)

Log Message:
-----------
* Additional comments to make things more clear

Modified Paths:
--------------
    trunk/src/Head.py

Modified: trunk/src/Head.py
===================================================================
--- trunk/src/Head.py	2009-08-02 18:40:00 UTC (rev 41)
+++ trunk/src/Head.py	2009-08-02 18:47:20 UTC (rev 42)
@@ -73,16 +73,22 @@
         for i in range(len(self.registrationSiteList)):
             recording.append([])
 
-        # Preparing a variable where the output of each of the generators will be stored
-        generatorOutput = []
+        # Preparing a variable where the output of each of the generators will
+        # be stored
+        generatorOutput = [] 
         for generator in self.generatorList:
             generatorOutput.append(0)
 
-        # Querying all generators and sending generator output through connections
+        # Querying all generators and sending generator output through
+        # connections
         for timePoint in range(duration * self.samplingFrequency):
             print("HEAD, time: " + str(timePoint/self.samplingFrequency))
+
+            # Recording the output of each generator
             for i in range(len(self.generatorList)):
                 generatorOutput[i] = (self.generatorList[i]).runGenerator(timePoint/self.samplingFrequency)
+
+            # Sending the output of generators through connections
             for i in range(len(self.connectionList)):
                 sourceGeneratorIndex = 0
                 for j in range(len(self.generatorList)):
@@ -90,6 +96,8 @@
                         sourceGeneratorIndex = j
                 self.connectionList[i].runConnection(generatorOutput[sourceGeneratorIndex])
             
+            # Passing the output of the generators through to the head model to
+            # get the recording
             recording = self.runHeadModel(generatorOutput, recording)
 
         return recording


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