/// <summary>
/// Creates an instance and initializes it from given xml element.
/// </summary>
/// <param name="elem">
/// Xml data containing IzhikevichIF activation settings.
/// Content of xml element is always validated against the xml schema.
/// </param>
public AutoIzhikevichIFSettings(XElement elem)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Activation.AutoIzhikevichIFSettings.xsd");
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement activationSettingsElem = validator.Validate(elem, "rootElem");
//Parsing
Role = NeuronCommon.ParseNeuronRole(activationSettingsElem.Attribute("role").Value);
RefractoryPeriods = int.Parse(activationSettingsElem.Attribute("refractoryPeriods").Value, CultureInfo.InvariantCulture);
SolverMethod = ODENumSolver.ParseComputationMethodType(activationSettingsElem.Attribute("solverMethod").Value);
SolverCompSteps = int.Parse(activationSettingsElem.Attribute("solverCompSteps").Value, CultureInfo.InvariantCulture);
return;
}
/// <summary>
/// Creates the instance and initialize it from given xml element.
/// </summary>
/// <param name="elem">
/// Xml data containing settings.
/// Content of xml element is always validated against the appropriate xml schema.
/// </param>
/// <param name="activationType">Specifies sub-type of the neuron group</param>
public NeuronGroupSettings(XElement elem, ActivationType activationType)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
if (activationType == ActivationType.Analog)
{
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.Preprocessing.PoolAnalogNeuronGroupSettings.xsd");
}
else
{
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.SM.Preprocessing.PoolSpikingNeuronGroupSettings.xsd");
}
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement settingsElem = validator.Validate(elem, "rootElem");
ActivationType = activationType;
//Parsing
//Name
Name = settingsElem.Attribute("name").Value;
//Role
Role = NeuronCommon.ParseNeuronRole(settingsElem.Attribute("role").Value);
//Relative share
RelativeShare = double.Parse(settingsElem.Attribute("relShare").Value, CultureInfo.InvariantCulture);
//Readout neurons density
ReadoutNeuronsDensity = double.Parse(settingsElem.Attribute("readoutDensity").Value, CultureInfo.InvariantCulture);
//Activation settings
ActivationCfg = ActivationFactory.LoadSettings(settingsElem.Descendants().First());
//Bias
XElement cfgElem = settingsElem.Descendants("bias").FirstOrDefault();
BiasCfg = cfgElem == null ? null : new RandomValueSettings(cfgElem);
//Spiking sub-type
if (activationType == ActivationType.Spiking)
{
SignalingRestriction = NeuronCommon.NeuronSignalingRestrictionType.SpikingOnly;
AnalogFiringThreshold = 0;
RetainmentNeuronsDensity = 0;
RetainmentStrengthCfg = null;
}
else
{
//Analog sub-type
//Output signaling restriction
SignalingRestriction = NeuronCommon.ParseNeuronSignalingRestriction(settingsElem.Attribute("signalingRestriction").Value);
//Analog firing threshold
cfgElem = settingsElem.Descendants("firingThreshold").FirstOrDefault();
AnalogFiringThreshold = cfgElem == null ? DefaultAnalogFiringThreshold : double.Parse(cfgElem.Attribute("value").Value, CultureInfo.InvariantCulture);
//Retainment
cfgElem = settingsElem.Descendants("retainment").FirstOrDefault();
RetainmentNeuronsDensity = 0;
RetainmentStrengthCfg = null;
if (cfgElem != null)
{
RetainmentNeuronsDensity = double.Parse(cfgElem.Attribute("density").Value, CultureInfo.InvariantCulture);
RetainmentStrengthCfg = new RandomValueSettings(cfgElem.Descendants("strength").First());
if (RetainmentNeuronsDensity == 0 || (RetainmentStrengthCfg.Min == 0 && RetainmentStrengthCfg.Max == 0))
{
RetainmentNeuronsDensity = 0;
RetainmentStrengthCfg = null;
}
}
}
//Predictors
XElement predictorsElem = settingsElem.Descendants("predictors").FirstOrDefault();
if (predictorsElem != null)
{
PredictorsCfg = new HiddenNeuronPredictorsSettings(predictorsElem);
}
return;
}
