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| Classes in ca.nengo.model used by ca.nengo.config | |
|---|---|
| StructuralException
A structural problem in setting up a Network. |
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| Classes in ca.nengo.model used by ca.nengo.config.impl | |
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| StructuralException
A structural problem in setting up a Network. |
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| Classes in ca.nengo.model used by ca.nengo.config.ui | |
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| StructuralException
A structural problem in setting up a Network. |
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| Classes in ca.nengo.model used by ca.nengo.dynamics | |
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| Units
Models units for physical quantities. |
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| Classes in ca.nengo.model used by ca.nengo.dynamics.impl | |
|---|---|
| Units
Models units for physical quantities. |
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| Classes in ca.nengo.model used by ca.nengo.examples | |
|---|---|
| Network
A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs. |
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| StructuralException
A structural problem in setting up a Network. |
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| Classes in ca.nengo.model used by ca.nengo.io | |
|---|---|
| Node
A part of a Network that can be run independently (eg a Neuron). |
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| Classes in ca.nengo.model used by ca.nengo.math.impl | |
|---|---|
| StructuralException
A structural problem in setting up a Network. |
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| Units
Models units for physical quantities. |
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| 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. |
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| Network
A neural circuit, consisting of Nodes such as Ensembles and ExternalInputs. |
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| Node
A part of a Network that can be run independently (eg a Neuron). |
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| Noise
An model of noise that can be explicitly injected into a circuit (e.g. |
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| Origin
An source of information in a circuit model. |
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| PlasticTermination
Plasticity rules apply to terminations. |
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| Probeable
An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP. |
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| Projection
A connection between an Origin and a Termination. |
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| Resettable
An object that can be reset to some initial state. |
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| SimulationException
A problem encountered while trying to run a simulation. |
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| SimulationMode
A SimulationMode is a way in which a Neuron or Ensemble can be simulated. |
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| SimulationMode.ModeConfigurable
Something that has runs in different SimulationModes. |
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| SpikeOutput
InstantaneousOutput consisting of spikes. |
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| StructuralException
A structural problem in setting up a Network. |
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| Termination
An destination for information in a circuit model. |
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| Units
Models units for physical quantities. |
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| 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. |
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| 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. |
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| Noise.Noisy
An object that implements this interface is subject to Noise. |
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| Origin
An source of information in a circuit model. |
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| PlasticTermination
Plasticity rules apply to terminations. |
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| PreciseSpikeOutput
InstantaneousOutput consisting of spikes and the time since they occurred. |
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| Probeable
An object that can be probed for a history of its state OVER THE MOST RECENT NETWORK TIME STEP. |
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| Projection
A connection between an Origin and a Termination. |
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| RealOutput
Instantaneous output consisting of continuous quantities (e.g. |
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| 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. |
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| 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. |
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| 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. |
|
|
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| PREV NEXT | FRAMES NO FRAMES | |||||||||