public void DeleteSelection(bool deleteBoundarySynapses = true)
{
MainWindow.theNeuronArray.SetUndoPoint();
List <int> neuronsToDelete = theSelection.EnumSelectedNeurons();
foreach (int nID in neuronsToDelete)
{
Neuron n = MainWindow.theNeuronArray.GetNeuron(nID);
if (deleteBoundarySynapses)
{
foreach (Synapse s in n.synapsesFrom)
{
Neuron source = MainWindow.theNeuronArray.GetNeuron(s.targetNeuron);
if (source != null && theSelection.NeuronInSelection(source.id) == 0)
{
source.DeleteSynapseWithUndo(n.id);
}
}
}
for (int i = 0; i < n.synapses.Count; i++)
{
n.DeleteSynapseWithUndo(n.synapses[i].targetNeuron);
}
n.AddUndoInfo();
n.CurrentCharge = 0;
n.LastCharge = 0;
n.Model = Neuron.modelType.IF;
n.Label = "";
n.Update();
}
DeleteModulesInSelection();
Update();
}
public void MoveOneNeuron(Neuron n, Neuron nNewLocation)
{
n.AddUndoInfo();
nNewLocation.AddUndoInfo();
//copy the neuron attributes and delete them from the old neuron.
n.Copy(nNewLocation);
MainWindow.theNeuronArray.SetCompleteNeuron(nNewLocation);
if (FiringHistory.NeuronIsInFiringHistory(n.id))
{
FiringHistory.RemoveNeuronFromHistoryWindow(n.id);
FiringHistory.AddNeuronToHistoryWindow(nNewLocation.id);
}
//for all the synapses going out this neuron, change to going from new location
//don't use a foreach here because the body of the loop may delete a list entry
for (int k = 0; k < n.Synapses.Count; k++)
{
Synapse s = n.Synapses[k];
if (s.targetNeuron != n.id)
{
nNewLocation.AddSynapseWithUndo(s.targetNeuron, s.weight, s.model);
}
else
{
nNewLocation.AddSynapseWithUndo(nNewLocation.id, s.weight, s.model);
}
n.DeleteSynapseWithUndo(n.synapses[k].targetNeuron);
}
//for all the synapses coming into this neuron, change the synapse target to new location
for (int k = 0; k < n.SynapsesFrom.Count; k++)
{
Synapse reverseSynapse = n.SynapsesFrom[k]; //(from synapses are sort-of backward
if (reverseSynapse.targetNeuron != -1) //?
{
Neuron sourceNeuron = MainWindow.theNeuronArray.GetNeuron(reverseSynapse.targetNeuron);
sourceNeuron.DeleteSynapseWithUndo(n.id);
if (sourceNeuron.id != n.id)
{
sourceNeuron.AddSynapseWithUndo(nNewLocation.id, reverseSynapse.weight, reverseSynapse.model);
}
}
}
n.Clear();
}
private static void SetValueInSelectedNeurons(Neuron n, string property)
{
bool neuronInSelection = NeuronInSelection(n.id);
if (neuronInSelection)
{
List <int> theNeurons = theNeuronArrayView.theSelection.EnumSelectedNeurons();
//special case for label because they are auto-incremented,
//clear all the labels first to avoid collisions
if (property == "label")
{
for (int i = 0; i < theNeurons.Count; i++)
{
Neuron n1 = MainWindow.theNeuronArray.GetNeuron(theNeurons[i]);
if (n1.id != n.id)
{
n1.label = "";
n1.Update();
}
}
}
for (int i = 0; i < theNeurons.Count; i++)
{
Neuron n1 = MainWindow.theNeuronArray.GetNeuron(theNeurons[i]);
n1.AddUndoInfo();
switch (property)
{
case "currentCharge":
if (n.model == Neuron.modelType.Color)
{
n1.SetValueInt(n.LastChargeInt);
}
else
{
n1.currentCharge = n.currentCharge;
n1.lastCharge = n.currentCharge;
}
break;
case "leakRate": n1.leakRate = n.leakRate; break;
case "axonDelay": n1.axonDelay = n.axonDelay; break;
case "model": n1.model = n.model; break;
case "enable": n1.leakRate = n.leakRate; break;
case "history":
if (FiringHistory.NeuronIsInFiringHistory(n.id))
{
FiringHistory.AddNeuronToHistoryWindow(n1.id);
OpenHistoryWindow();
}
else
{
FiringHistory.RemoveNeuronFromHistoryWindow(n1.id);
}
break;
case "synapses":
if (MainWindow.arrayView.IsShowingSnapses(n.id))
{
MainWindow.arrayView.AddShowSynapses(n1.id);
}
else
{
MainWindow.arrayView.RemoveShowSynapses(n1.id);
}
break;
case "label":
if (n.label == "")
{
n1.label = "";
}
else if (n.id != n1.id)
{
string newLabel = n.label;
while (MainWindow.theNeuronArray.GetNeuron(newLabel) != null)
{
int num = 0;
int digitCount = 0;
while (Char.IsDigit(newLabel[newLabel.Length - 1]))
{
int.TryParse(newLabel[newLabel.Length - 1].ToString(), out int digit);
num = num + (int)Math.Pow(10, digitCount) * digit;
digitCount++;
newLabel = newLabel.Substring(0, newLabel.Length - 1);
}
num++;
newLabel = newLabel + num.ToString();
}
n1.label = newLabel;
}
break;
}
n1.Update();
}
}
}
private static void Cm_Closed(object sender, RoutedEventArgs e)
{
if (sender is ContextMenu cm)
{
if (!cm.IsOpen)
{
return;
}
cm.IsOpen = false;
if (cmCancelled)
{
MainWindow.Update();
return;
}
MainWindow.theNeuronArray.SetUndoPoint();
int neuronID = (int)cm.GetValue(NeuronIDProperty);
Neuron n = MainWindow.theNeuronArray.GetNeuron(neuronID);
n.AddUndoInfo();
bool applyToAll = false;
Control cc = Utils.FindByName(cm, "ApplyToSelection");
if (cc is CheckBox cb)
{
if (cb.IsChecked == true)
{
applyToAll = true;
}
}
cc = Utils.FindByName(cm, "Label");
if (cc is TextBox tb)
{
string newLabel = tb.Text;
if (int.TryParse(newLabel, out int dummy))
{
newLabel = "_" + newLabel;
}
if (labelChanged)
{
MainWindow.theNeuronArray.SetUndoPoint();
n.Label = newLabel;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "label");
}
}
}
cc = Utils.FindByName(cm, "Model");
if (cc is ComboBox cb0)
{
ListBoxItem lbi = (ListBoxItem)cb0.SelectedItem;
Neuron.modelType nm = (Neuron.modelType)System.Enum.Parse(typeof(Neuron.modelType), lbi.Content.ToString());
if (modelChanged)
{
n.model = nm;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "model");
}
}
}
cc = Utils.FindByName(cm, "CurrentCharge");
if (cc is ComboBox tb1)
{
if (n.model == Neuron.modelType.Color)
{
try
{
uint newCharge = Convert.ToUInt32(tb1.Text, 16);
if (chargeChanged)
{
n.SetValueInt((int)newCharge);
n.lastCharge = newCharge;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "currentCharge");
}
Utils.AddToValues(newCharge, colorValues);
}
}
catch { };
}
else
{
float.TryParse(tb1.Text, out float newCharge);
if (chargeChanged)
{
n.SetValue(newCharge);
n.lastCharge = newCharge;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "currentCharge");
}
Utils.AddToValues(newCharge, currentChargeValues);
}
}
}
cc = Utils.FindByName(cm, "LeakRate");
if (cc is ComboBox tb2)
{
float.TryParse(tb2.Text, out float leakRate);
if (leakRateChanged)
{
n.LeakRate = leakRate;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "leakRate");
}
if (n.model == Neuron.modelType.LIF)
{
Utils.AddToValues(leakRate, leakRateValues);
}
if (n.model == Neuron.modelType.Random)
{
Utils.AddToValues(leakRate, stdDevValues);
}
if (n.model == Neuron.modelType.Burst)
{
Utils.AddToValues(leakRate, axonDelayValues);
}
}
}
else
{
n.leakRate = 0;
}
cc = Utils.FindByName(cm, "AxonDelay");
if (cc is ComboBox tb3)
{
int.TryParse(tb3.Text, out int axonDelay);
if (axonDelayChanged)
{
n.axonDelay = axonDelay;
if (applyToAll)
{
SetValueInSelectedNeurons(n, "axonDelay");
}
if (n.model == Neuron.modelType.Random)
{
Utils.AddToValues(axonDelay, meanValues);
}
else if (n.model == Neuron.modelType.Always)
{
Utils.AddToValues(axonDelay, alwaysDelayValues);
}
else if (n.model == Neuron.modelType.Burst)
{
Utils.AddToValues(axonDelay, alwaysDelayValues);
}
else
{
Utils.AddToValues(axonDelay, axonDelayValues);
}
}
}
cc = Utils.FindByName(cm, "Synapses");
if (cc is CheckBox cb2)
{
if (synapsesChanged)
{
if (cb2.IsChecked == true)
{
MainWindow.arrayView.AddShowSynapses(n.id);
}
else
{
MainWindow.arrayView.RemoveShowSynapses(n.id);
}
if (applyToAll)
{
SetValueInSelectedNeurons(n, "synapses");
}
}
}
cc = Utils.FindByName(cm, "Enabled");
if (cc is CheckBox cb1)
{
if (enabledChanged)
{
if (cb1.IsChecked == true)
{
n.leakRate = Math.Abs(n.leakRate);
}
else
{
n.leakRate = Math.Abs(n.leakRate) * -1.0f;
}
if (applyToAll)
{
SetValueInSelectedNeurons(n, "enable");
}
}
}
cc = Utils.FindByName(cm, "History");
if (cc is CheckBox cb3)
{
if (historyChanged)
{
if (cb3.IsChecked == true)
{
FiringHistory.AddNeuronToHistoryWindow(n.id);
OpenHistoryWindow();
}
else
{
FiringHistory.RemoveNeuronFromHistoryWindow(n.id);
}
if (applyToAll)
{
SetValueInSelectedNeurons(n, "history");
}
}
}
n.Update();
}
MainWindow.Update();
}
