Uses of Package
ca.nengo.model

Packages that use ca.nengo.model
ca.nengo.config   
ca.nengo.config.impl   
ca.nengo.config.ui   
ca.nengo.dynamics   
ca.nengo.dynamics.impl   
ca.nengo.examples   
ca.nengo.io   
ca.nengo.math.impl   
ca.nengo.model   
ca.nengo.model.impl   
ca.nengo.model.muscle   
ca.nengo.model.muscle.impl   
ca.nengo.model.nef   
ca.nengo.model.nef.impl   
ca.nengo.model.neuron   
ca.nengo.model.neuron.impl   
ca.nengo.model.plasticity   
ca.nengo.model.plasticity.impl   
ca.nengo.sim   
ca.nengo.sim.impl   
ca.nengo.util   
ca.nengo.util.impl   
 

Classes in ca.nengo.model used by ca.nengo.config
StructuralException
          A structural problem in setting up a Network.
 

Classes in ca.nengo.model used by ca.nengo.config.impl
StructuralException
          A structural problem in setting up a Network.
 

Classes in ca.nengo.model used by ca.nengo.config.ui
StructuralException
          A structural problem in setting up a Network.
 

Classes in ca.nengo.model used by ca.nengo.dynamics
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.dynamics.impl
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.examples
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
StructuralException
          A structural problem in setting up a Network.
 

Classes in ca.nengo.model used by ca.nengo.io
Node
          A part of a Network that can be run independently (eg a Neuron).
 

Classes in ca.nengo.model used by ca.nengo.math.impl
StructuralException
          A structural problem in setting up a Network.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.model
Ensemble
           A group of Nodes with largely overlapping inputs and outputs.
InstantaneousOutput
          An output from an Origin at an instant in time.
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Node
          A part of a Network that can be run independently (eg a Neuron).
Noise
          An model of noise that can be explicitly injected into a circuit (e.g.
Origin
          An source of information in a circuit model.
PlasticTermination
          Plasticity rules apply to terminations.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Projection
          A connection between an Origin and a Termination.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode
          A SimulationMode is a way in which a Neuron or Ensemble can be simulated.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
SpikeOutput
          InstantaneousOutput consisting of spikes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.model.impl
Ensemble
           A group of Nodes with largely overlapping inputs and outputs.
ExpandableNode
          A Node to which Terminations can be added after construction, in a standard manner.
InstantaneousOutput
          An output from an Origin at an instant in time.
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Node
          A part of a Network that can be run independently (eg a Neuron).
Noise
          An model of noise that can be explicitly injected into a circuit (e.g.
Noise.Noisy
          An object that implements this interface is subject to Noise.
Origin
          An source of information in a circuit model.
PlasticTermination
          Plasticity rules apply to terminations.
PreciseSpikeOutput
          InstantaneousOutput consisting of spikes and the time since they occurred.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Projection
          A connection between an Origin and a Termination.
RealOutput
          Instantaneous output consisting of continuous quantities (e.g.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode
          A SimulationMode is a way in which a Neuron or Ensemble can be simulated.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
SpikeOutput
          InstantaneousOutput consisting of spikes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.model.muscle
Node
          A part of a Network that can be run independently (eg a Neuron).
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Resettable
          An object that can be reset to some initial state.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
 

Classes in ca.nengo.model used by ca.nengo.model.muscle.impl
Node
          A part of a Network that can be run independently (eg a Neuron).
Origin
          An source of information in a circuit model.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode
          A SimulationMode is a way in which a Neuron or Ensemble can be simulated.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.model.nef
Ensemble
           A group of Nodes with largely overlapping inputs and outputs.
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Node
          A part of a Network that can be run independently (eg a Neuron).
Origin
          An source of information in a circuit model.
PlasticEnsemble
           An extension of the default ensemble in which connection weights can be modified by a plasticity rule.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
 

Classes in ca.nengo.model used by ca.nengo.model.nef.impl
Ensemble
           A group of Nodes with largely overlapping inputs and outputs.
ExpandableNode
          A Node to which Terminations can be added after construction, in a standard manner.
InstantaneousOutput
          An output from an Origin at an instant in time.
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Node
          A part of a Network that can be run independently (eg a Neuron).
Noise
          An model of noise that can be explicitly injected into a circuit (e.g.
Noise.Noisy
          An object that implements this interface is subject to Noise.
Origin
          An source of information in a circuit model.
PlasticEnsemble
           An extension of the default ensemble in which connection weights can be modified by a plasticity rule.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
RealOutput
          Instantaneous output consisting of continuous quantities (e.g.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode
          A SimulationMode is a way in which a Neuron or Ensemble can be simulated.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
 

Classes in ca.nengo.model used by ca.nengo.model.neuron
InstantaneousOutput
          An output from an Origin at an instant in time.
Node
          A part of a Network that can be run independently (eg a Neuron).
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
 

Classes in ca.nengo.model used by ca.nengo.model.neuron.impl
ExpandableNode
          A Node to which Terminations can be added after construction, in a standard manner.
InstantaneousOutput
          An output from an Origin at an instant in time.
Node
          A part of a Network that can be run independently (eg a Neuron).
Noise
          An model of noise that can be explicitly injected into a circuit (e.g.
Origin
          An source of information in a circuit model.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
Resettable
          An object that can be reset to some initial state.
SimulationException
          A problem encountered while trying to run a simulation.
SimulationMode
          A SimulationMode is a way in which a Neuron or Ensemble can be simulated.
SimulationMode.ModeConfigurable
          Something that has runs in different SimulationModes.
StructuralException
          A structural problem in setting up a Network.
Termination
          An destination for information in a circuit model.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.model.plasticity
InstantaneousOutput
          An output from an Origin at an instant in time.
Resettable
          An object that can be reset to some initial state.
 

Classes in ca.nengo.model used by ca.nengo.model.plasticity.impl
InstantaneousOutput
          An output from an Origin at an instant in time.
Resettable
          An object that can be reset to some initial state.
 

Classes in ca.nengo.model used by ca.nengo.sim
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
SimulationException
          A problem encountered while trying to run a simulation.
 

Classes in ca.nengo.model used by ca.nengo.sim.impl
Network
          A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
SimulationException
          A problem encountered while trying to run a simulation.
 

Classes in ca.nengo.model used by ca.nengo.util
Ensemble
           A group of Nodes with largely overlapping inputs and outputs.
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
SimulationException
          A problem encountered while trying to run a simulation.
StructuralException
          A structural problem in setting up a Network.
Units
          Models units for physical quantities.
 

Classes in ca.nengo.model used by ca.nengo.util.impl
Node
          A part of a Network that can be run independently (eg a Neuron).
Probeable
          An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP.
SimulationException
          A problem encountered while trying to run a simulation.
Units
          Models units for physical quantities.