/**
* Helper method for making neuron group vector consumers, since it happens in a few different
* places and is important to be consistent about.
*
* @param component network component
* @param group the group that will "consume" activations
* @param methodName the name of the method called by this consumer
* @return the neuron group consumer
*/
public static PotentialConsumer getNeuronGroupConsumer(
NetworkComponent component, NeuronGroup group, String methodName) {
PotentialConsumer consumer =
component.getAttributeManager().createPotentialConsumer(group, methodName, double[].class);
consumer.setCustomDescription(group.getId() + ":" + methodName);
return consumer;
}
/**
* Helper method for making synapse consumers, since it happens in a few different places and is
* important to be consistent about.
*
* @param component network component
* @param synapse the synapse that will "consume" strengths
* @param methodName the name of the method called by this consumer
* @return the synapse consumer
*/
public static PotentialConsumer getSynapseConsumer(
NetworkComponent component, Synapse synapse, String methodName) {
PotentialConsumer consumer =
component.getAttributeManager().createPotentialConsumer(synapse, methodName, double.class);
consumer.setCustomDescription(synapse.getId() + ":" + methodName);
return consumer;
}
@Override
public List<PotentialConsumer> getPotentialConsumers() {
List<PotentialConsumer> returnList = new ArrayList<PotentialConsumer>();
for (AttributeType type : getVisibleConsumerTypes()) {
if (type.getTypeName().startsWith("Neuron ")) {
if (type.getTypeName().equalsIgnoreCase("Neuron Input Value")) {
for (Neuron neuron : network.getFlatNeuronList()) {
returnList.add(getNeuronConsumer(this, neuron, type.getMethodName()));
}
} else {
for (Neuron neuron : network.getFlatNeuronList()) {
String description = type.getDescription(neuron.getId());
PotentialConsumer consumer =
getAttributeManager().createPotentialConsumer(neuron, type);
consumer.setCustomDescription(description);
returnList.add(consumer);
}
}
} else if (type.getTypeName().equalsIgnoreCase("Synapse")) {
for (Synapse synapse : network.getFlatSynapseList()) {
String description = type.getDescription(synapse.getId());
PotentialConsumer consumer = getAttributeManager().createPotentialConsumer(synapse, type);
consumer.setCustomDescription(description);
returnList.add(consumer);
}
} else if (type.getTypeName().equalsIgnoreCase("NeuronGroup")) {
// Handle NeuronGroup attributes
for (Group group : network.getFlatGroupList()) {
if (group instanceof NeuronGroup) {
PotentialConsumer consumer =
getNeuronGroupConsumer(this, (NeuronGroup) group, type.getMethodName());
returnList.add(consumer);
}
}
} else if (type.getTypeName().equalsIgnoreCase("SynapseGroup")) {
// Handle SynapseGroup attributes
for (Group group : network.getFlatGroupList()) {
if (group instanceof SynapseGroup) {
PotentialConsumer consumer =
getAttributeManager()
.createPotentialConsumer(group, "setWeightVector", double[].class);
consumer.setCustomDescription("Synapse Group: " + group.getLabel());
returnList.add(consumer);
}
}
}
}
return returnList;
}
