public void Confirm()
{
Parallel.For(0, NeuronCount, i =>
{
var cell = Cells[i] as Cell;
for (int j = 0; j < Cells.Count; j++)
{
if (i == j) { continue; }
if (cell.Location.DistanceTo(Cells[j].Location) < cell.AxsonLength)
{
if (Cells[j] is Cell)
{
if ((Cells[j] as Cell).AxsonConnectedID.Contains(cell.ID))
{
continue;
}
}
cell.AddAxson(Cells[j].ID);
}
}
});
Cells.Sort((c1, c2) =>
{
if (c1.ID > c2.ID)
{
return 1;
}
else if (c1.ID < c2.ID)
{
return -1;
}
else
{
return 0;
}
});
int len = Cells.Sum(x => (x is Cell) ? (x as Cell).AxsonConnectedID.Count : 0);
axsonConnectMatrix = new RNdArray(len);
axsonConnectCount = new RNdArray(Cells.Count);
axsonConnectStartIndex = new RNdArray(Cells.Count);
int index = 0;
for (int i = 0; i < Cells.Count; i++)
{
if (Cells[i] is Cell)
{
var cell = (Cells[i] as Cell);
axsonConnectCount[i] = cell.AxsonConnectedID.Count;
for (int j = 0; j < cell.AxsonConnectedID.Count; j++)
{
axsonConnectMatrix[index] = cell.AxsonConnectedID[j];
index++;
}
}
else
{
axsonConnectCount[i] = 0;
}
}
Parallel.For(0, Cells.Count, i =>
{
axsonConnectStartIndex[i] = Gpgpu.FunctionBase.StartPosition(i, new Components.GPGPU.Function.ComputeParameter("", axsonConnectCount, State.MemoryModeSet.WriteOnly));
});
var random = new Random();
cellValue = new RNdArray(Cells.Count);
cellSignal = new RNdArray(Cells.Count);
cellActivity = new RNdArray(Cells.Count);
cellState = new RNdArray(Cells.Count);
connectWeight = new RNdArray(axsonConnectMatrix.Length);
cellEnergy = new RNdArray(Cells.Count);
Parallel.For(0, connectWeight.Length, i =>
{
connectWeight[i] = 1;// random.NextDouble();
});
var weightInitialize = new Gpgpu.Function.WeightInitialize();
weightInitialize.FunctionConfiguration();
Components.GPGPU.ComputeVariable variable;
variable = new Components.GPGPU.ComputeVariable();
variable.Add("ConnectWeight", connectWeight, State.MemoryModeSet.WriteOnly);
variable.Add("AxsonConnectCount", axsonConnectCount, State.MemoryModeSet.ReadOnly);
variable.Add("axsonConnectStartIndex", axsonConnectStartIndex, State.MemoryModeSet.ReadOnly);
variable.Add("AxsonConnectMatrix", axsonConnectMatrix, State.MemoryModeSet.ReadOnly);
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("CellCount") { Value = cellValue.Length });
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("NeuronCount") { Value = NeuronCount });
weightInitialize.Do(false, variable);
foreach (var item in Receptors)
{
item.Start();
}
DoProcess();
}
private void DoProcess()
{
Energy = NeuronCount / 2;
new System.Threading.Thread(() =>
{
double prevEnergy = Energy;
var resValue = new RNdArray(Cells.Count);
var resSignal = new RNdArray(Cells.Count);
var resActivity = new RNdArray(Cells.Count);
var resState = new RNdArray(Cells.Count);
Components.GPGPU.ComputeVariable variable;
var function = new Gpgpu.Function.FieldUpdateStep();
function.FunctionConfiguration();
while (!CoreObject.IsTerminate)
{
Energy = 1000;
float d_energy = 1;// (float)(Energy - prevEnergy);
DateTime start = DateTime.Now;
cellValue.CopyBy(Cells.Select(x => x.Value).ToArray());
cellSignal.CopyBy(Cells.Select(x => x.Signal).ToArray());
cellActivity.CopyBy(Cells.Select(x => (x is Cell) ? (Real)(x as Cell).Activity : x.Signal).ToArray());
cellState.CopyBy(Cells.Select(x => (x is Cell) ? (Real)(int)(x as Cell).State : 1).ToArray());
variable = new Components.GPGPU.ComputeVariable();
variable.Add("cellValue", cellValue, State.MemoryModeSet.ReadOnly);
variable.Add("cellSignal", cellSignal, State.MemoryModeSet.ReadOnly);
variable.Add("cellActivity", cellActivity, State.MemoryModeSet.ReadOnly);
variable.Add("cellState", cellState, State.MemoryModeSet.ReadOnly);
variable.Add("connectWeight", connectWeight, State.MemoryModeSet.ReadOnly);
variable.Add("cellEnergy", cellEnergy, State.MemoryModeSet.WriteOnly);
variable.Add("axsonConnectCount", axsonConnectCount, State.MemoryModeSet.ReadOnly);
variable.Add("axsonConnectStartIndex", axsonConnectStartIndex, State.MemoryModeSet.ReadOnly);
variable.Add("axsonConnectMatrix", axsonConnectMatrix, State.MemoryModeSet.ReadOnly);
variable.Add("resValue", resValue, State.MemoryModeSet.WriteOnly);
variable.Add("resSignal", resSignal, State.MemoryModeSet.WriteOnly);
variable.Add("resActivity", resActivity, State.MemoryModeSet.WriteOnly);
variable.Add("resState", resState, State.MemoryModeSet.WriteOnly);
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("CellCount") { Value = cellValue.Length });
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("NeuronCount") { Value = NeuronCount });
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("Energy") { Value = Energy });
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("dEnergy") { Value = d_energy });
function.Do(false, variable);
#region /* need to GPGPU */
foreach (var item in Signals)
{
item.Signal = 0;
foreach (var id in item.AxsonConnectedID)
{
item.Signal += Cells[id].Value;
}
item.Signal /= item.AxsonConnectedID.Count;
}
#endregion
SignalUpdateEvent?.Invoke(new FieldState()
{
Energy = this.Energy,
Signals = new List<double>(Signals.Select(x => (double)x.Signal).ToArray()),
Locations = new List<Location>(Signals.Select(x => x.Location).ToArray()),
});
#if false
Parallel.For(0, NeuronCount, i =>
{
#else
for (int i = 0; i < NeuronCount; i++)
{
#endif
if (Cells[i] is Cell)
{
var cell = (Cells[i] as Cell);
cell.Value = resValue[i];
cell.Signal = resSignal[i];
cell.Activity = resActivity[i];
cell.State = (Cell.IgnitionState)Enum.ToObject(typeof(Cell.IgnitionState), (int)resState[i]);
cell.Energy = cellEnergy[i];
}
}
#if false
);
#endif
stepCount++;
stepTime = (stepTime + function.StepElapsedSpan.TotalMilliseconds) / 2;
totalStepTime = (totalStepTime + (DateTime.Now - start).TotalMilliseconds) / 2;
System.Threading.Thread.Sleep(CoreObject.Interval);
}
}).Start();
}
public InitializeNeuron(int count, double area, double axsonLengthBase)
{
var random = new Random();
var list = new List <Location>();
Components.RNdArray px = new Components.RNdArray(count);
Components.RNdArray py = new Components.RNdArray(count);
Components.RNdArray pz = new Components.RNdArray(count);
Components.RNdArray axson = new Components.RNdArray(count);
for (int i = 0; i < count; i++)
{
var loc = new Location(random, area);
list.Add(loc);
px[i] = loc.X;
py[i] = loc.Y;
pz[i] = loc.Z;
axson[i] = (axsonLengthBase) + (axsonLengthBase / 10.0) * (random.NextDouble() * 2 - 1);
}
Components.RNdArray hasRef = new Components.RNdArray(count);
bool check = false;
var function = new Connectome.Gpgpu.Function.LocationInitializeStep();
function.FunctionConfiguration();
int repetitioncount = 0;
while (!check)
{
var variable = new Components.GPGPU.ComputeVariable();
variable.Add("px", px, Components.State.MemoryModeSet.ReadOnly);
variable.Add("py", py, Components.State.MemoryModeSet.ReadOnly);
variable.Add("pz", pz, Components.State.MemoryModeSet.ReadOnly);
variable.Add("paxson", axson, Components.State.MemoryModeSet.ReadOnly);
variable.Add("phasRef", hasRef, Components.State.MemoryModeSet.WriteOnly);
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("count")
{
Value = count
});
variable.Argument.Add(new Components.GPGPU.ComputeVariable.ValueSet("connectcount")
{
Value = 2
});
function.Do(false, variable);
int containscount = hasRef.Data.Count(x => x.Value == 0);
if (containscount != 0)
{
repetitioncount++;
for (int i = 0; i < count; i++)
{
if (hasRef.Data[i] == 0)
{
//var loc = new Location(random, axson[i]) + list[random.Next(count)];
var loc = new Location(random, area);
list[i] = loc;
px[i] = loc.X;
py[i] = loc.Y;
pz[i] = loc.Z;
}
}
}
else
{
check = true;
}
}
for (int i = 0; i < count; i++)
{
NeuronSources.Add(new NeuronSource(list[i], axson[i]));
}
//NeuronSources.Sort((l1, l2) =>
//{
// var def = new Location();
// var dist1 = l1.Location.DistanceTo(def);
// var dist2 = l2.Location.DistanceTo(def);
// if (dist1 >= dist2)
// {
// return 1;
// }
// else if (dist1 <= dist2)
// {
// return -1;
// }
// else { return 0; }
//});
}
