/// <summary>
/// Creates and returns a newly created synapse with the specified source cell, permanence, and index.
/// </summary>
/// <param name="sourceCell">This value is typically set to NULL in a case of proximal segment. This is because, proximal segments
/// build synaptic connections from column to the sensory input. They do not cobbect a specific cell inside of the column.</param>
/// <param name="index">Sequence within gthe pool.</param>
/// <param name="inputIndex">The index of the sensory neuron connected by this synapse.</param>
/// <remarks>
/// <b>This method is only called for Proximal Synapses.</b> For ProximalDendrites, there are many synapses within a pool, and in that case, the index
/// specifies the synapse's sequence order within the pool object, and may be referenced by that index</remarks>
/// <returns>Instance of the new synapse.</returns>
/// <seealso cref="Synapse"/>
public Synapse CreateSynapse(int index, int inputIndex)
{
Synapse synapse = new Synapse(this.SegmentIndex, index, inputIndex);
this.Synapses.Add(synapse);
return(synapse);
}
/// <summary>
/// Creates and returns a newly created synapse with the specified source cell, permanence, and index.
/// </summary>
/// <param name="sourceCell"></param>
/// <param name="index">Sequence within gthe pool.</param>
/// <param name="inputIndex"></param>
/// <remarks>
/// <b>This method is only called for Proximal Synapses.</b> For ProximalDendrites, there are many synapses within a pool, and in that case, the index
/// specifies the synapse's sequence order within the pool object, and may be referenced by that index</remarks>
/// <returns>Instance of the new synapse.</returns>
/// <seealso cref="Synapse"/>
public Synapse CreateSynapse(Cell sourceCell, int index, int inputIndex)
{
Synapse synapse = new Synapse(sourceCell, this.SegmentIndex, index, inputIndex);
this.Synapses.Add(synapse);
return(synapse);
}
/// <summary>
/// Deserializes from text file to DistalDendrite
/// </summary>
/// <param name="sr"></param>
/// <returns>DistalDendrite</returns>
public Synapse DeserializeSynapse(StreamReader sr)
{
while (sr.Peek() >= 0)
{
string data = sr.ReadLine();
if (data == ReadBegin(nameof(Synapse)))
{
Synapse synapseT1 = Synapse.Deserialize(sr);
Cell cell1 = synapseT1.SourceCell;
DistalDendrite distSegment1 = synapseT1.SourceCell.DistalDendrites[0];
DistalDendrite distSegment2 = synapseT1.SourceCell.DistalDendrites[1];
distSegment1.ParentCell = cell1;
distSegment2.ParentCell = cell1;
synapseT1.SourceCell = cell1;
return(synapseT1);
}
}
return(null);
}
public static Pool Deserialize(StreamReader sr)
{
Pool pool = new Pool();
HtmSerializer2 ser = new HtmSerializer2();
while (sr.Peek() >= 0)
{
string data = sr.ReadLine();
if (data == String.Empty || data == ser.ReadBegin(nameof(Pool)) || (data.ToCharArray()[0] == HtmSerializer2.ElementsDelimiter && data.ToCharArray()[1] == HtmSerializer2.ParameterDelimiter))
{
continue;
}
else if (data == ser.ReadEnd(nameof(Pool)))
{
break;
}
else if (data.Contains(HtmSerializer2.KeyValueDelimiter))
{
int val = ser.ReadKeyISValue(data);
data = sr.ReadLine();
pool.m_SynapsesBySourceIndex.Add(val, Synapse.Deserialize(sr));
}
else
{
string[] str = data.Split(HtmSerializer2.ParameterDelimiter);
for (int i = 0; i < str.Length; i++)
{
switch (i)
{
case 0:
{
pool.size = ser.ReadIntValue(str[i]);
break;
}
case 1:
{
pool.NumInputs = ser.ReadIntValue(str[i]);
break;
}
case 2:
{
pool.m_SynapseConnections = ser.ReadListInt(str[i]);
break;
}
default:
{ break; }
}
}
}
}
return(pool);
}
/**
* Destroys any references this {@code Pool} maintains on behalf
* of the specified {@link Synapse}
*
* @param synapse
*/
public void destroySynapse(Synapse synapse)
{
synapseConnections.Remove(synapse.getInputIndex());
synapsesBySourceIndex.Remove(synapse.getInputIndex());
if (synapse.getSegment() is DistalDendrite)
{
destroy();
}
}
/// <summary>
/// Used by SpatialPooler when learning spatial patterns. Spatial patterns are learned by synapses between
/// proximal dendrite segment and input neurons.
/// </summary>
/// <param name="synapse"></param>
/// <param name="synPermConnected">The synapse is the connected oneif its permanence value is greather than this threshold.</param>
/// <param name="perm">The permanence value of the synapse.</param>
private void SetPermanence(Synapse synapse, double synPermConnected, double perm)
{
synapse.Permanence = perm;
//
// On proximal dendrite which has no presynaptic cell
if (synapse.SourceCell == null)
{
this.ProximalDendrite.RFPool.UpdatePool(synPermConnected, synapse, perm);
}
}
/**
* Returns the permanence value for the {@link Synapse} specified.
*
* @param s the Synapse
* @return the permanence
*/
//public double getPermanence(Synapse s)
//{
// return synapsesBySourceIndex[s.getInputIndex()].getPermanence();
//}
/**
* Sets the specified permanence value for the specified {@link Synapse}
* @param s
* @param permanence
*/
//public void setPermanence(Connections c, Synapse s, double permanence)
//{
// s.setPermanence(c, permanence);
//}
/// <summary>
/// Updates this <see cref="Pool"/>'s store of permanences for the specified <see cref="Synapse"/>
/// </summary>
/// <param name="synPermConnected"></param>
/// <param name="synapse">the synapse who's permanence is recorded</param>
/// <param name="permanence">the permanence value to record</param>
public void UpdatePool(double synPermConnected, Synapse synapse, double permanence)
{
int inputIndex = synapse.InputIndex;
if (m_SynapsesBySourceIndex.ContainsKey(inputIndex) == false)
{
m_SynapsesBySourceIndex.Add(inputIndex, synapse);
}
if (permanence >= synPermConnected)
{
m_SynapseConnections.Add(inputIndex);
}
else
{
m_SynapseConnections.Remove(inputIndex);
}
}
public static ProximalDendrite Deserialize(StreamReader sr)
{
ProximalDendrite proximal = new ProximalDendrite();
HtmSerializer2 ser = new HtmSerializer2();
while (sr.Peek() >= 0)
{
string data = sr.ReadLine();
if (data == String.Empty || data == ser.ReadBegin(nameof(ProximalDendrite)) || (data.ToCharArray()[0] == HtmSerializer2.ElementsDelimiter && data.ToCharArray()[1] == HtmSerializer2.ParameterDelimiter) || data.ToCharArray()[1] == HtmSerializer2.ParameterDelimiter)
{
continue;
}
else if (data == ser.ReadBegin(nameof(Pool)))
{
proximal.RFPool = Pool.Deserialize(sr);
}
//else if (data == ser.ReadBegin(nameof(Integer)))
//{
// proximal.boxedIndex = Integer.Deserialize(sr);
//}
else if (data == ser.ReadBegin(nameof(Synapse)))
{
proximal.Synapses.Add(Synapse.Deserialize(sr));
}
else if (data == ser.ReadEnd(nameof(ProximalDendrite)))
{
break;
}
else
{
string[] str = data.Split(HtmSerializer2.ParameterDelimiter);
for (int i = 0; i < str.Length; i++)
{
switch (i)
{
case 0:
{
proximal.SegmentIndex = ser.ReadIntValue(str[i]);
break;
}
case 1:
{
proximal.SynapsePermConnected = ser.ReadDoubleValue(str[i]);
break;
}
case 2:
{
proximal.NumInputs = ser.ReadIntValue(str[i]);
break;
}
default:
{ break; }
}
}
}
}
return(proximal);
}
/// <summary>
/// Deserializes the cell from the stream.
/// </summary>
/// <param name="sr"></param>
/// <returns></returns>
public static Cell Deserialize(StreamReader sr)
{
Cell cell = new Cell();
HtmSerializer2 ser = new HtmSerializer2();
while (sr.Peek() >= 0)
{
string data = sr.ReadLine();
if (data == String.Empty || data == ser.ReadBegin(nameof(Cell)))
{
continue;
}
else if (data == ser.ReadEnd(nameof(Cell)))
{
break;
}
else
{
string[] str = data.Split(HtmSerializer2.ParameterDelimiter);
for (int i = 0; i < str.Length; i++)
{
switch (i)
{
case 0:
{
cell.Index = ser.ReadIntValue(str[i]);
break;
}
case 1:
{
cell.CellId = ser.ReadIntValue(str[i]);
break;
}
case 2:
{
cell.ParentColumnIndex = ser.ReadIntValue(str[i]);
break;
}
case 3:
{
int[] vs = ser.ReadArrayInt(str[i]);
cell.DistalDendrites = new List <DistalDendrite>();
for (int j = 0; j < vs.Count(); j++)
{
cell.DistalDendrites.Add(new DistalDendrite());
cell.DistalDendrites[j].Ordinal = vs[j];
using (StreamReader swLD = new StreamReader($"ser_SerializeDistalDendrite_{cell.DistalDendrites[j].Ordinal}.txt"))
{
cell.DistalDendrites[j] = DistalDendrite.Deserialize(swLD);
}
}
break;
}
case 4:
{
int[] vs = ser.ReadArrayInt(str[i]);
cell.ReceptorSynapses = new List <Synapse>();
for (int j = 0; j < vs.Count(); j++)
{
cell.ReceptorSynapses.Add(new Synapse());
cell.ReceptorSynapses[j].SynapseIndex = vs[j];
using (StreamReader swLS = new StreamReader($"ser_SerializeSynapseTest_{cell.ReceptorSynapses[j].SynapseIndex}.txt"))
{
cell.ReceptorSynapses[j] = Synapse.Deserialize(swLS);
}
}
break;
}
default:
{ break; }
}
}
}
}
return(cell);
}
