Neuron (Simbrain API)

java.lang.Object
- org.simbrain.network.core.Neuron

Direct Known Subclasses:

NeuronWithMemory
```
public class Neuron
extends java.lang.Object
```
Neuron represents a node in the neural network. Most of the "logic" of the neural network occurs here, in the update function. Subclasses must override update and duplicate (for copy / paste) and cloning generally.

Author:

Jeff Yoshimi, Zach Tosi

Field Summary

Fields
Modifier and Type	Field and Description
`static NeuronUpdateRule`	`DEFAULT_UPDATE_RULE` The default neuron update rule.
`static int`	`PRE_ALLOCATED_NUM_SYNAPSES` Pre-allocates the number of bins in this neuron's fanIn/Out for efficiency.

Constructor Summary

Constructors
Constructor and Description
`Neuron(Network parent)` Construct a neuron with all default values in the specified network.
`Neuron(Network parent, Neuron n)` Copy constructor.
`Neuron(Network parent, NeuronUpdateRule updateRule)` Construct a specific type of neuron.
`Neuron(Network parent, java.lang.String updateRule)` Construct a specific type of neuron from a string description.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`addAfferent(Synapse source)` Adds an afferent synapse to this neuron, i.e.
`void`	`addEfferent(Synapse synapse)` Adds an efferent synapse to this neuron, i.e.
`void`	`clear()` Forward to updaterule's clearing method.
`void`	`debug()` Sends relevant information about the network to standard output.
`Neuron`	`deepCopy()` Provides a deep copy of this neuron.
`void`	`deleteConnectedSynapses()` Delete connected synapses and remove them from the network and any other structures.
`void`	`deleteFanIn()` Removes all synapses from fanIn and from the network or any intermediate structures.
`void`	`deleteFanOut()` Removes all synapses from fanOut and from the network or any intermediate structures.
`void`	`forceSetActivation(double act)` Sets the activation of the neuron regardless of the state of the neuron.
`double`	`getActivation()`
`double`	`getAuxValue()`
`double`	`getAverageInput()`
`double`	`getBuffer()`
`java.util.List<Synapse>`	`getFanIn()`
`java.util.List<Synapse>`	`getFanInList()` Used for deletion to avoid a ConcurrentModificationException as well as conform to the other processes inovlved in removing synapses from a network.
`java.util.Map<Neuron,Synapse>`	`getFanOut()`
`java.util.List<Synapse>`	`getFanOutList()` Used for deletion to avoid a ConcurrentModificationException as well as conform to the other processes inovlved in removing synapses from a network.
`java.lang.String`	`getId()`
`double`	`getInputValue()`
`java.lang.String`	`getLabel()`
`double`	`getLowerBound()` Return the lower bound for the the underlying rule, if it is bounded.
`Network`	`getNetwork()` Returns the root network this neuron is embedded in.
`int`	`getNumberOfActiveInputs(int threshold)` Returns the number of neurons attaching to this one which have activity above a specified threshold.
`Group`	`getParentGroup()` TODO: Possibly make this be a NeuronGroup.
`SimbrainConstants.Polarity`	`getPolarity()` Polarity of this neuron (excitatory, inhibitory, or none = null).
`java.awt.geom.Point2D`	`getPosition()` Returns position as a 2-d point.
`static java.util.List<NeuronUpdateRule>`	`getRuleList(java.util.List<Neuron> neuronList)` A method that returns a list of all the neuron update rules associated with a list of neurons.
`boolean`	`getSpkBuffer()`
`double`	`getSummedIncomingWeights()` Returns the sum of the strengths of the weights attaching to this neuron.
`double`	`getSynapticInput()` Sums the weighted synaptic inputs to a given neuron based on that synapse's spike responder.
`double`	`getTargetValue()`
`Network.TimeType`	`getTimeType()` Returns the time type of this neuron's update rule.
`java.lang.String`	`getToolTipText()` Forward to update rule's tool tip method, which returns string for tool tip or short description.
`double`	`getTotalInput()`
`java.lang.String`	`getType()` The name of the update rule of this neuron; it's "type".
`int`	`getUpdatePriority()`
`NeuronUpdateRule`	`getUpdateRule()` Returns the current update rule.
`java.lang.String`	`getUpdateRuleDescription()` Returns the current update rule's description (name).
`double`	`getUpperBound()` Return the upper bound for the the underlying rule, if it is bounded.
`double`	`getWeightedInputs()` Sums the weighted signals that are sent to this node.
`double`	`getX()`
`double`	`getY()`
`double`	`getZ()`
`boolean`	`isClamped()`
`boolean`	`isConnected(Synapse s)` True if the synapse is connected to this neuron, false otherwise.
`boolean`	`isGenerator()`
`boolean`	`isPolarized()` If the neuron is polarized, it will be excitatory or inhibitory.
`boolean`	`isSpike()`
`void`	`normalizeExcitatoryFanIn()` Normalizes the excitatory synaptic strengths impinging on this neuron, that is finds the sum of the exctiatory weights and divides each weight value by that sum;
`void`	`normalizeFanIn()`
`void`	`normalizeInhibitoryFanIn()`
`void`	`offset(double delta_x, double delta_y)` Translate the neuron by a specified amount.
`void`	`postUnmarshallingInit()` Perform any initialization required when creating a neuron, but after the parent network has been added.
`void`	`randomize()` Randomize this neuron to a value between upperBound and lowerBound.
`void`	`randomizeBias(double lower, double upper)` If this neuron has a bias field, randomize it within the specified bounds.
`void`	`randomizeBuffer()` Randomize this neuron to a value between upperBound and lowerBound.
`void`	`randomizeFanIn()` Randomize all synapses that attach to this neuron.
`void`	`randomizeFanOut()` Randomize all synapses that attach to this neuron.
`void`	`removeAfferent(Synapse synapse)` Remove this neuron from source neuron via a weight.
`void`	`removeEfferent(Synapse synapse)` Remove this neuron from target neuron via a weight.
`void`	`setActivation(double act)` Sets the activation of the neuron if it is not clamped.
`void`	`setAuxValue(double auxValue)`
`void`	`setBuffer(double d)` Temporary buffer which can be used for algorithms which should not depend on the order in which neurons are updated.
`void`	`setClamped(boolean clamped)` Toggles whether this neuron is clamped.
`void`	`setGenerator(boolean generator)` Mark this neuron as an input generator.
`void`	`setId(java.lang.String theName)` Sets the id of the neuron.
`void`	`setIncrement(double increment)` Convenience method to set increment on the neuron's update rule.
`void`	`setInputValue(double inputValue)` Set the input value of the neuron.
`void`	`setLabel(java.lang.String label)`
`void`	`setLocation(double x, double y)` Set x, y position of a neuron.
`void`	`setLowerBound(double lowerBound)` Convenience method to set lower bound on the neuron's update rule, if it is a bounded update rule.
`void`	`setParentGroup(Group parentGroup)`
`void`	`setPolarity(SimbrainConstants.Polarity polarity)`
`void`	`setPosition(java.awt.geom.Point2D position)` Set position of neuron using a point object.
`void`	`setSpike(boolean spike)`
`void`	`setSpkBuffer(boolean spkBuffer)`
`void`	`setTargetValue(double targetValue)` Set target value.
`void`	`setToBufferVals()` A general purpose method that moves all relevant values from this neuron's buffer to its main values.
`void`	`setUpdatePriority(int updatePriority)`
`void`	`setUpdateRule(NeuronUpdateRule updateRule)` Set a new update rule.
`void`	`setUpdateRule(java.lang.String name)` Sets the update rule using a String description.
`void`	`setUpperBound(double upperBound)` Convenience method to set upper bound on the neuron's update rule, if it is a bounded update rule.
`void`	`setX(double x)`
`void`	`setY(double y)`
`void`	`setZ(double z)`
`java.lang.String`	`toString()`
`void`	`update()` Updates neuron.
`void`	`updateFanIn()` A helper method which iterates over each afferent synapse to this neuron and calls their update functions.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - DEFAULT_UPDATE_RULE
```
public static final NeuronUpdateRule DEFAULT_UPDATE_RULE
```
    The default neuron update rule. Neurons which are constructed without a specified update rule will default to the rule specified here: Linear with default parameters.
  - PRE_ALLOCATED_NUM_SYNAPSES
```
public static final int PRE_ALLOCATED_NUM_SYNAPSES
```
    Pre-allocates the number of bins in this neuron's fanIn/Out for efficiency.
- Constructor Detail
  - Neuron
```
public Neuron(Network parent)
```
    Construct a neuron with all default values in the specified network. Sometimes used as the basis for a template neuron which will be edited and then copied. Also used in scripts.
    
    Parameters:
    
    parent - The parent network of this neuron.
  - Neuron
```
public Neuron(Network parent,
              java.lang.String updateRule)
```
    Construct a specific type of neuron from a string description.
    
    Parameters:
    
    parent - The parent network. Be careful not to set this to root network if the root network is not the parent.
    
    updateRule - the update method
  - Neuron
```
public Neuron(Network parent,
              NeuronUpdateRule updateRule)
```
    Construct a specific type of neuron.
    
    Parameters:
    
    parent - The parent network. Be careful not to set this to root network if the root network is not the parent.
    
    updateRule - the update method
  - Neuron
```
public Neuron(Network parent,
              Neuron n)
```
    Copy constructor.
    
    Parameters:
    
    parent - The parent network. Be careful not to set this to root network if the root network is not the parent.
    
    n - Neuron
- Method Detail
  - deepCopy
```
public Neuron deepCopy()
```
    Provides a deep copy of this neuron.
    
    Returns:
    
    a deep copy of this neuron.
  - postUnmarshallingInit
```
public void postUnmarshallingInit()
```
    Perform any initialization required when creating a neuron, but after the parent network has been added.
  - getTimeType
```
public Network.TimeType getTimeType()
```
    Returns the time type of this neuron's update rule.
    
    Returns:
    
    the time type.
  - getUpdateRule
```
public NeuronUpdateRule getUpdateRule()
```
    Returns the current update rule.
    
    Returns:
    
    the neuronUpdateRule
  - getUpdateRuleDescription
```
public java.lang.String getUpdateRuleDescription()
```
    Returns the current update rule's description (name).
    
    Returns:
    
    the neuronUpdateRule's description
  - setUpdateRule
```
public void setUpdateRule(java.lang.String name)
```
    Sets the update rule using a String description. The provided description must match the class name. E.g. "BinaryNeuron" for "BinaryNeuron.java".
    
    Parameters:
    
    name - the "simple name" of the class associated with the neuron rule to set.
  - setUpdateRule
```
public void setUpdateRule(NeuronUpdateRule updateRule)
```
    Set a new update rule. Essentially like changing the type of the network.
    
    Parameters:
    
    updateRule - the neuronUpdateRule to set
  - update
```
public void update()
```
    Updates neuron.
  - setActivation
```
public void setActivation(double act)
```
    Sets the activation of the neuron if it is not clamped. To unequivocally set the activation use forceSetActivation(double). Under normal circumstances model classes will use this method.
    
    Parameters:
    
    act - Activation
  - setToBufferVals
```
public void setToBufferVals()
```
    A general purpose method that moves all relevant values from this neuron's buffer to its main values. Must be used to ensure that spikes update synchronously in the same way activations do for buffered updates.
  - forceSetActivation
```
public void forceSetActivation(double act)
```
    Sets the activation of the neuron regardless of the state of the neuron. Overrides clamping and any intrinsic dynamics of the neuron, and forces the neuron's activation to take a specific value. Used primarily by the GUI (e.g. when externally setting the values of clamped input neurons).
    
    Parameters:
    
    act - the new activation value
  - getActivation
```
public double getActivation()
```
    Returns:
    
    the level of activation.
  - getId
```
public java.lang.String getId()
```
    Returns:
    
    ID of neuron.
  - setId
```
public void setId(java.lang.String theName)
```
    Sets the id of the neuron.
    
    Parameters:
    
    theName - Neuron id
  - getFanIn
```
public java.util.List<Synapse> getFanIn()
```
    Returns:
    
    an unmodifiable version of the fanIn list.
  - getFanOut
```
public java.util.Map<Neuron,Synapse> getFanOut()
```
    Returns:
    
    an unmodifiable version of the fanOut map.
  - addEfferent
```
public void addEfferent(Synapse synapse)
```
    Adds an efferent synapse to this neuron, i.e. adds a synapse to fanOut. Does NOT add this synapse to the network or any intermediate bodies. If the connection is a duplicate connection the original synapse connecting this neuron to a target neuron will be removed and replaced by Synapse s.
    
    Parameters:
    
    synapse - the synapse for which this neuron is a source to add.
  - removeEfferent
```
public void removeEfferent(Synapse synapse)
```
    Remove this neuron from target neuron via a weight.
    
    Parameters:
    
    synapse - the connection between this neuron and a target neuron
  - addAfferent
```
public void addAfferent(Synapse source)
```
    Adds an afferent synapse to this neuron, i.e. adds a synapse to fanIn. Does NOT add this synapse to the network or any intermediate bodies.
    
    Parameters:
    
    source - adds source as a synapse for which this neuron is the target.
  - removeAfferent
```
public void removeAfferent(Synapse synapse)
```
    Remove this neuron from source neuron via a weight.
    
    Parameters:
    
    synapse - the connection between this neuron and a source neuron
  - getWeightedInputs
```
public double getWeightedInputs()
```
    Sums the weighted signals that are sent to this node. This sums all the weighted inputs to a neuron in a connectionist sense. No spike responders are called and thus this is not appropriate for most biological models.
    
    Returns:
    
    weighted input to this node
  - getSynapticInput
```
public double getSynapticInput()
```
    Sums the weighted synaptic inputs to a given neuron based on that synapse's spike responder. This is usually only appropriate for biological model neurons.
    
    Returns:
    
    the sum of the post-synaptic responses (synapse values in response to spikes and mediated by spike responders) impinging on this neuron.
  - updateFanIn
```
public void updateFanIn()
```
    A helper method which iterates over each afferent synapse to this neuron and calls their update functions.
  - normalizeExcitatoryFanIn
```
public void normalizeExcitatoryFanIn()
```
    Normalizes the excitatory synaptic strengths impinging on this neuron, that is finds the sum of the exctiatory weights and divides each weight value by that sum;
  - normalizeInhibitoryFanIn
```
public void normalizeInhibitoryFanIn()
```
  - normalizeFanIn
```
public void normalizeFanIn()
```
  - randomize
```
public void randomize()
```
    Randomize this neuron to a value between upperBound and lowerBound.
  - randomizeBuffer
```
public void randomizeBuffer()
```
    Randomize this neuron to a value between upperBound and lowerBound.
  - debug
```
public void debug()
```
    Sends relevant information about the network to standard output.
  - getNetwork
```
public Network getNetwork()
```
    Returns the root network this neuron is embedded in.
    
    Returns:
    
    root network.
  - setBuffer
```
public void setBuffer(double d)
```
    Temporary buffer which can be used for algorithms which should not depend on the order in which neurons are updated.
    
    Parameters:
    
    d - temporary value
  - getBuffer
```
public double getBuffer()
```
    Returns:
    
    Returns the current value in the buffer.
  - getInputValue
```
public double getInputValue()
```
    Returns:
    
    Returns the inputValue.
  - setInputValue
```
public void setInputValue(double inputValue)
```
    Set the input value of the neuron. This is used in getWeightedInputs() as an "external input" to the neuron. When external components (like input tables) send activation to the network they should use this.
    
    Parameters:
    
    inputValue - The inputValue to set.
  - getType
```
public java.lang.String getType()
```
    The name of the update rule of this neuron; it's "type". Used via reflection for consistency checking in the gui. (Open multiple neurons and if they are of the different types the dialog is different).
    
    Returns:
    
    the name of the class of this network.
  - getSummedIncomingWeights
```
public double getSummedIncomingWeights()
```
    Returns the sum of the strengths of the weights attaching to this neuron.
    
    Returns:
    
    the sum of the incoming weights to this neuron.
  - getNumberOfActiveInputs
```
public int getNumberOfActiveInputs(int threshold)
```
    Returns the number of neurons attaching to this one which have activity above a specified threshold.
    
    Parameters:
    
    threshold - value above which neurons are considered "active."
    
    Returns:
    
    number of "active" neurons
  - getAverageInput
```
public double getAverageInput()
```
    Returns:
    
    the average activation of neurons connecting to this neuron
  - getTotalInput
```
public double getTotalInput()
```
    Returns:
    
    the total activation of neurons connecting to this neuron
  - isConnected
```
public boolean isConnected(Synapse s)
```
    True if the synapse is connected to this neuron, false otherwise.
    
    Parameters:
    
    s - the synapse to check.
    
    Returns:
    
    true if synapse is connected, false otherwise.
  - getX
```
public double getX()
```
    Returns:
    
    Returns the x coordinate.
  - getY
```
public double getY()
```
    Returns:
    
    Returns the y coordinate.
  - getZ
```
public double getZ()
```
    Returns:
    
    Returns the z coordinate.
  - setX
```
public void setX(double x)
```
    Parameters:
    
    x - The x coordinate to set.
  - setY
```
public void setY(double y)
```
    Parameters:
    
    y - The y coordinate to set.
  - setZ
```
public void setZ(double z)
```
    Parameters:
    
    z - The z coordinate to set.
  - setLocation
```
public void setLocation(double x,
                        double y)
```
    Set x, y position of a neuron.
    
    Parameters:
    
    x - x coordinate for neuron
    
    y - y coordinate for neuron
  - offset
```
public void offset(double delta_x,
                   double delta_y)
```
    Translate the neuron by a specified amount.
    
    Parameters:
    
    delta_x - x amount to translate neuron
    
    delta_y - y amount to translate neuron
  - deleteConnectedSynapses
```
public void deleteConnectedSynapses()
```
    Delete connected synapses and remove them from the network and any other structures.
  - getFanInList
```
public java.util.List<Synapse> getFanInList()
```
    Used for deletion to avoid a ConcurrentModificationException as well as conform to the other processes inovlved in removing synapses from a network.
    
    Returns:
    
    an element by element shallow copy of the synapses in this neuron's fanIn map.
  - getFanOutList
```
public java.util.List<Synapse> getFanOutList()
```
    Used for deletion to avoid a ConcurrentModificationException as well as conform to the other processes inovlved in removing synapses from a network.
    
    Returns:
    
    an element by element shallow copy of the synapses in this neuron's fanOut map.
  - deleteFanOut
```
public void deleteFanOut()
```
    Removes all synapses from fanOut and from the network or any intermediate structures.
  - deleteFanIn
```
public void deleteFanIn()
```
    Removes all synapses from fanIn and from the network or any intermediate structures.
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object
  - clear
```
public void clear()
```
    Forward to updaterule's clearing method. By default set activation to 0.
  - getToolTipText
```
public java.lang.String getToolTipText()
```
    Forward to update rule's tool tip method, which returns string for tool tip or short description.
    
    Returns:
    
    tool tip text
  - getTargetValue
```
public double getTargetValue()
```
    Returns:
    
    the targetValue
  - setTargetValue
```
public void setTargetValue(double targetValue)
```
    Set target value.
    
    Parameters:
    
    targetValue - value to set.
  - getUpdatePriority
```
public int getUpdatePriority()
```
    Returns:
    
    updatePriority for the neuron
  - setUpdatePriority
```
public void setUpdatePriority(int updatePriority)
```
    Parameters:
    
    updatePriority - to set.
  - isClamped
```
public boolean isClamped()
```
    Returns:
    
    the clamped
  - setClamped
```
public void setClamped(boolean clamped)
```
    Toggles whether this neuron is clamped.
    
    Parameters:
    
    clamped - Whether this neuron is to be clamped.
  - getLabel
```
public java.lang.String getLabel()
```
    Returns:
    
    the label
  - setLabel
```
public void setLabel(java.lang.String label)
```
    Parameters:
    
    label - the label to set
  - getPosition
```
public java.awt.geom.Point2D getPosition()
```
    Returns position as a 2-d point.
    
    Returns:
    
    point representation of neuron position.
  - setPosition
```
public void setPosition(java.awt.geom.Point2D position)
```
    Set position of neuron using a point object.
    
    Parameters:
    
    position - point location of neuron
  - randomizeBias
```
public void randomizeBias(double lower,
                          double upper)
```
    If this neuron has a bias field, randomize it within the specified bounds.
    
    Parameters:
    
    lower - lower bound for randomization.
    
    upper - upper bound for randomization.
  - randomizeFanIn
```
public void randomizeFanIn()
```
    Randomize all synapses that attach to this neuron.
  - randomizeFanOut
```
public void randomizeFanOut()
```
    Randomize all synapses that attach to this neuron.
  - getRuleList
```
public static java.util.List<NeuronUpdateRule> getRuleList(java.util.List<Neuron> neuronList)
```
    A method that returns a list of all the neuron update rules associated with a list of neurons.
    
    Parameters:
    
    neuronList - The list of neurons whose update rules we want to query.
    
    Returns:
    
    Returns a list of neuron update rules associated with a group of neurons
  - getParentGroup
```
public Group getParentGroup()
```
    TODO: Possibly make this be a NeuronGroup. See design notes.
    
    Returns:
    
    the parentGroup
  - setParentGroup
```
public void setParentGroup(Group parentGroup)
```
    Parameters:
    
    parentGroup - the parentGroup to set
  - isGenerator
```
public boolean isGenerator()
```
    Returns:
    
    Whether or not this is an input generator.
  - setGenerator
```
public void setGenerator(boolean generator)
```
    Mark this neuron as an input generator. Automatically sets the fan-in list to null if true.
    
    Parameters:
    
    generator - Whether or not this is being set as an input generator.
  - setUpperBound
```
public void setUpperBound(double upperBound)
```
    Convenience method to set upper bound on the neuron's update rule, if it is a bounded update rule.
    
    Parameters:
    
    upperBound - upper bound to set.
  - setLowerBound
```
public void setLowerBound(double lowerBound)
```
    Convenience method to set lower bound on the neuron's update rule, if it is a bounded update rule.
    
    Parameters:
    
    lowerBound - lower bound to set.
  - getUpperBound
```
public double getUpperBound()
```
    Return the upper bound for the the underlying rule, if it is bounded. Else it simply returns 1. Used to color neuron activations.
    
    Returns:
    
    the upper bound, if applicable, and 1 otherwise.
  - getLowerBound
```
public double getLowerBound()
```
    Return the lower bound for the the underlying rule, if it is bounded. Else it simply returns -1. Used to color neuron activations.
    
    Returns:
    
    the upper bound, if applicable, and -1 otherwise.
  - setIncrement
```
public void setIncrement(double increment)
```
    Convenience method to set increment on the neuron's update rule.
    
    Parameters:
    
    increment - increment to set
  - getAuxValue
```
public double getAuxValue()
```
    Returns:
    
    the auxValue
  - setAuxValue
```
public void setAuxValue(double auxValue)
```
    Parameters:
    
    auxValue - the auxValue to set
  - isPolarized
```
public boolean isPolarized()
```
    If the neuron is polarized, it will be excitatory or inhibitory.
    
    Returns:
    
    whether this neuron is polarized.
  - getPolarity
```
public SimbrainConstants.Polarity getPolarity()
```
    Polarity of this neuron (excitatory, inhibitory, or none = null).
    
    Returns:
    
    the current polarity
  - setPolarity
```
public void setPolarity(SimbrainConstants.Polarity polarity)
```
  - isSpike
```
public boolean isSpike()
```
  - setSpike
```
public void setSpike(boolean spike)
```
  - getSpkBuffer
```
public boolean getSpkBuffer()
```
  - setSpkBuffer
```
public void setSpkBuffer(boolean spkBuffer)
```

Class Neuron

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

DEFAULT_UPDATE_RULE

PRE_ALLOCATED_NUM_SYNAPSES

Constructor Detail

Neuron

Neuron

Neuron

Neuron

Method Detail

deepCopy

postUnmarshallingInit

getTimeType

getUpdateRule

getUpdateRuleDescription

setUpdateRule

setUpdateRule

update

setActivation

setToBufferVals

forceSetActivation

getActivation

getId

setId

getFanIn

getFanOut

addEfferent

removeEfferent

addAfferent

removeAfferent

getWeightedInputs

getSynapticInput

updateFanIn

normalizeExcitatoryFanIn

normalizeInhibitoryFanIn

normalizeFanIn

randomize

randomizeBuffer

debug

getNetwork

setBuffer

getBuffer

getInputValue

setInputValue

getType

getSummedIncomingWeights

getNumberOfActiveInputs

getAverageInput

getTotalInput

isConnected

getX

getY

getZ

setX

setY

setZ

setLocation

offset

deleteConnectedSynapses

getFanInList

getFanOutList

deleteFanOut

deleteFanIn

toString

clear

getToolTipText

getTargetValue

setTargetValue

getUpdatePriority

setUpdatePriority

isClamped

setClamped

getLabel

setLabel

getPosition

setPosition