Package | Description |
---|---|
org.simbrain.network.gui.dialogs.network |
The network.gui.dialogs.network package contains dialog classes that manage the creation and editing of
network-level dialog boxes.
|
org.simbrain.network.gui.nodes.neuronGroupNodes |
The network.gui.nodes.neuronGroupNodes package contains Piccolo Pnode classes corresponding to neuron group types.
|
org.simbrain.network.gui.nodes.subnetworkNodes |
The network.gui.nodes.subnetworkNodes package contains Piccolo Pnode classes corresponding to subnetwork types.
|
org.simbrain.network.gui.trainer.subnetworkTrainingPanels |
The network.gui.trainer.subnetworkTrainingPanels package contains panel classes for training subnetwork types.
|
org.simbrain.network.subnetworks |
The network.subnetworks package contains all bottom-level subclasses of group.
|
org.simbrain.network.trainers |
The network.trainers package contains supervised learning algorithms.
|
Class and Description |
---|
BackpropNetwork
Backprop network.
|
CompetitiveGroup
Competitive implements a simple competitive network.
|
CompetitiveNetwork
CompetitiveNetwork is a small network encompassing a Competitive
group.
|
EchoStateNetwork
Builds an Echo-State Network with options for all valid weight
configurations.
|
Hopfield
Hopfield is a basic implementation of a discrete Hopfield network.
|
Hopfield.HopfieldUpdate
Main forms of Hopfield update rule.
|
KWTA
KwtaNetwork implements a k Winner Take All network.
|
LMSNetwork
A Least Mean Squares network.
|
SimpleRecurrentNetwork
Implements a simple recurrent network (See, e.g, Elman 1991).
|
SOMGroup
SOM implements a Self-Organizing Map network.
|
SOMNetwork
SOMNetwork is a small network encompassing an SOM group.
|
WinnerTakeAll
WinnerTakeAll.The neuron with the highest weighted input in a
winner-take-all network takes on an upper value, all other neurons take on
the lower value.
|
Class and Description |
---|
CompetitiveGroup
Competitive implements a simple competitive network.
|
SOMGroup
SOM implements a Self-Organizing Map network.
|
Class and Description |
---|
BackpropNetwork
Backprop network.
|
BPTTNetwork
Implements a network to be trained using backprop through time.
|
CompetitiveNetwork
CompetitiveNetwork is a small network encompassing a Competitive
group.
|
EchoStateNetwork
Builds an Echo-State Network with options for all valid weight
configurations.
|
Hopfield
Hopfield is a basic implementation of a discrete Hopfield network.
|
LMSNetwork
A Least Mean Squares network.
|
SimpleRecurrentNetwork
Implements a simple recurrent network (See, e.g, Elman 1991).
|
SOMNetwork
SOMNetwork is a small network encompassing an SOM group.
|
Class and Description |
---|
CompetitiveNetwork
CompetitiveNetwork is a small network encompassing a Competitive
group.
|
EchoStateNetwork
Builds an Echo-State Network with options for all valid weight
configurations.
|
SOMNetwork
SOMNetwork is a small network encompassing an SOM group.
|
Class and Description |
---|
CompetitiveGroup
Competitive implements a simple competitive network.
|
CompetitiveGroup.UpdateMethod
Specific implementation of competitive learning.
|
FeedForward
A standard feed-forward network, where a succession of neuron groups and
synapse groups are organized into layers.
|
Hopfield
Hopfield is a basic implementation of a discrete Hopfield network.
|
Hopfield.HopfieldUpdate
Main forms of Hopfield update rule.
|
SOMGroup
SOM implements a Self-Organizing Map network.
|
WinnerTakeAll
WinnerTakeAll.The neuron with the highest weighted input in a
winner-take-all network takes on an upper value, all other neurons take on
the lower value.
|
Class and Description |
---|
BPTTNetwork
Implements a network to be trained using backprop through time.
|
CompetitiveNetwork
CompetitiveNetwork is a small network encompassing a Competitive
group.
|
Hopfield
Hopfield is a basic implementation of a discrete Hopfield network.
|
SimpleRecurrentNetwork
Implements a simple recurrent network (See, e.g, Elman 1991).
|
SOMNetwork
SOMNetwork is a small network encompassing an SOM group.
|