Mongodb issues fixed

n2s3/src/main/scala/fr/univ_lille/cristal/emeraude/n2s3/core/ConnectionIndex.scala

@@ -18,6 +18,7 @@ class ConnectionIndex(inputLayer : NeuronGroupRef, outputLayer : NeuronGroupRef)
     }
   }.toMap
 
+
   def getConnectionsBetween(input : NetworkEntityPath, output : NetworkEntityPath) : Seq[ConnectionPath] = {
     index.getOrElse(output, Map()).getOrElse(input, Seq())
   }

n2s3_examples/src/main/scala/fr/univ_lille/cristal/emeraude/n2s3/apps/ExampleMnist2.scala

@@ -101,18 +101,20 @@ object  ExampleMnist2 extends App {
 
   val unsupervisedLayer1 = n2s3.createNeuronGroup()
     .setIdentifier("Layer1")
-    .setNumberOfNeurons(5)
+    .setNumberOfNeurons(20)
     .setNeuronModel(LIF, Seq(
-      (MembranePotentialThreshold, 35 millivolts)))
+      (MembranePotentialThreshold, 15 millivolts)))
   
   val unsupervisedLayer2 = n2s3.createNeuronGroup()
     .setIdentifier("Layer2")
-    .setNumberOfNeurons(5)
+    .setNumberOfNeurons(10)
     .setNeuronModel(LIF, Seq(
       (MembranePotentialThreshold, 5 millivolts)))
 
   inputLayer.connectTo(unsupervisedLayer1, new FullConnection(() => new SimplifiedSTDP()))
   var Layer1WTAconnection = unsupervisedLayer1.connectTo(unsupervisedLayer1, new FullConnection(() => new InhibitorySynapse()))
+  unsupervisedLayer1.connectTo(unsupervisedLayer2, new FullConnection(() => new SimplifiedSTDP()))
+  var Layer2WTAconnection = unsupervisedLayer2.connectTo(unsupervisedLayer2, new FullConnection(() => new InhibitorySynapse()))
 
   n2s3.create()
 
@@ -161,7 +163,6 @@ object  ExampleMnist2 extends App {
     simTime = "Train L1"
     n2s3.runAndWait()
 
-    println(System.currentTimeMillis() - globalTime)
     simTime = simTime + " | " + (System.currentTimeMillis() - globalTime) + "\n"
 
     if (log) {
@@ -172,8 +173,6 @@ object  ExampleMnist2 extends App {
     unsupervisedLayer1.fixNeurons()
     Layer1WTAconnection.disconnect()
 
-    unsupervisedLayer1.connectTo(unsupervisedLayer2, new FullConnection(() => new SimplifiedSTDP()))
-    var Layer2WTAconnection = unsupervisedLayer2.connectTo(unsupervisedLayer2, new FullConnection(() => new InhibitorySynapse()))
     n2s3.first = false
     stream = InputMnist.DataParts(dataFile, labelFile, sizeChunk, sizeChunk)
     inputStream.append(stream)
@@ -181,7 +180,7 @@ object  ExampleMnist2 extends App {
     println("Start Training L2")
     
     var layerTolayerIndex = new ConnectionIndex(unsupervisedLayer1, unsupervisedLayer2)
-    print(layerTolayerIndex)
+
     var listOfConnexions2 = for (outputIndex <- 0 until unsupervisedLayer2.shape.getNumberOfPoints) yield {
       for (_ <- 0 until 1) yield {
       for {