Package org.neuroml.model

package org.neuroml.model

Related Packages

Package	Description
org.neuroml.model.util

Class	Description
Adapter1
Adapter2
AdExIaFCell	Model based on Brette R and Gerstner W ( 2005 ) Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity.
AllowedSpaces	Java class for allowedSpaces.
AlphaCondSynapse	Alpha synapse: rise time and decay time are both tau_syn.
AlphaCurrentSynapse	Alpha current synapse: rise time and decay time are both **tau.** \n :param tau: Time course for rise and decay :type tau: time :param ibase: Baseline current increase after receiving a spike :type ibase: current
AlphaCurrSynapse	Alpha synapse: rise time and decay time are both tau_syn.
AlphaSynapse	Ohmic synapse model where rise time and decay time are both **tau.** Max conductance reached during this time ( assuming zero conductance before ) is **gbase** * **weight.** \n :param tau: Time course of rise/decay :type tau: time :param gbase: Baseline conductance, generally the maximum conductance following a single spike :type gbase: conductance :param erev: Reversal potential of the synapse :type erev: voltage
Annotation	A structured annotation containing metadata, specifically RDF or **property** elements
Base	Anything which can have a unique (within its parent) id of the form NmlId (spaceless combination of letters, numbers and underscore).
BaseCell	Base type of any cell ( e.
BaseCellMembPotCap	Any cell with a membrane potential **v** with voltage units and a membrane capacitance **C.** Also defines exposed value **iSyn** for current due to external synapses and **iMemb** for total transmembrane current ( usually channel currents plus **iSyn** ) \n :param C: Total capacitance of the cell membrane :type C: capacitance
BaseConductanceBasedSynapse	Synapse model which exposes a conductance **g** in addition to producing a current.
BaseConductanceBasedSynapseTwo	Synapse model suited for a sum of two expTwoSynapses which exposes a conductance **g** in addition to producing a current.
BaseConnection	Base of all synaptic connections (chemical/electrical/analog, etc.) inside projections
BaseConnectionNewFormat	Base of all synaptic connections with preCell, postSegment, etc.
BaseConnectionOldFormat	Base of all synaptic connections with preCellId, postSegmentId, etc.
BaseCurrentBasedSynapse	Synapse model which produces a synaptic current.
BaseNonNegativeIntegerId	Anything which can have a unique (within its parent) id, which must be an integer zero or greater.
BaseProjection	Base for projection (set of synaptic connections) between two populations
BasePyNNCell	Base type of any PyNN standard cell model.
BasePyNNIaFCell	Base type of any PyNN standard integrate and fire model \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
BasePyNNIaFCondCell	Base type of conductance based PyNN IaF cell models \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
BasePynnSynapse	Base type for all PyNN synapses.
BaseSynapse	Base type for all synapses, i.
BaseVoltageDepSynapse	Base type for synapses with a dependence on membrane potential
BaseWithoutId	Base element without ID specified *yet*, e.g.
BiophysicalProperties	The biophysical properties of the **cell** , including the **membraneProperties** and the **intracellularProperties**
BiophysicalProperties2CaPools	The biophysical properties of the **cell** , including the **membraneProperties2CaPools** and the **intracellularProperties2CaPools** for a cell with two Ca pools
BlockingPlasticSynapse	Biexponential synapse that allows for optional block and plasticity mechanisms, which can be expressed as child elements.
BlockMechanism	Java class for BlockMechanism complex type.
BlockTypes	Java class for BlockTypes.
Case	Java class for Case complex type.
Cell	Cell with **segment** s specified in a **morphology** element along with details on its **biophysicalProperties** .
Cell2CaPools	Variant of cell with two independent Ca2+ pools.
CellSet	Java class for CellSet complex type.
ChannelDensity	Specifies a time varying ohmic conductance density, **gDensity,** which is distributed on an area of the **cell** ( specified in **membraneProperties** ) with fixed reversal potential **erev** producing a current density **iDensity** \n :param erev: The reversal potential of the current produced :type erev: voltage :param condDensity: :type condDensity: conductanceDensity
ChannelDensityGHK	Specifies a time varying conductance density, **gDensity,** which is distributed on an area of the cell, producing a current density **iDensity** and whose reversal potential is calculated from the Goldman Hodgkin Katz equation.
ChannelDensityGHK2	Time varying conductance density, **gDensity,** which is distributed on an area of the cell, producing a current density **iDensity.** Modified version of Jaffe et al.
ChannelDensityNernst	Specifies a time varying conductance density, **gDensity,** which is distributed on an area of the **cell,** producing a current density **iDensity** and whose reversal potential is calculated from the Nernst equation.
ChannelDensityNernstCa2	This component is similar to the original component type **channelDensityNernst** but it is changed in order to have a reversal potential that depends on a second independent Ca++ pool ( ca2 ).
ChannelDensityNonUniform	Specifies a time varying ohmic conductance density, which is distributed on a region of the **cell.** The conductance density of the channel is not uniform, but is set using the **variableParameter** .
ChannelDensityNonUniformGHK	Specifies a time varying conductance density, which is distributed on a region of the **cell,** and whose current is calculated from the Goldman-Hodgkin-Katz equation.
ChannelDensityNonUniformNernst	Specifies a time varying conductance density, which is distributed on a region of the **cell,** and whose reversal potential is calculated from the Nernst equation.
ChannelDensityVShift	Same as **channelDensity** , but with a **vShift** parameter to change voltage activation of gates.
ChannelPopulation	Population of a **number** of ohmic ion channels.
ChannelTypes	Java class for channelTypes.
ClosedState	A **KSState** with **relativeConductance** of 0 \n :param relativeConductance: :type relativeConductance: none
ComponentType	Contains an extension to NeuroML by creating custom LEMS ComponentType.
CompoundInput	Generates a current which is the sum of all its child **basePointCurrent** element, e.
CompoundInputDL	Generates a current which is the sum of all its child **basePointCurrentDL** elements, e.
ConcentrationModelD	Java class for ConcentrationModel_D complex type.
ConditionalDerivedVariable	Java class for ConditionalDerivedVariable complex type.
Connection	Event connection directly between named components, which gets processed via a new instance of a **synapse** component which is created on the target component.
ConnectionWD	Event connection between named components, which gets processed via a new instance of a synapse component which is created on the target component, includes setting of **weight** and **delay** for the synaptic connection \n :param weight: :type weight: none :param delay: :type delay: time
Constant	LEMS ComponentType for Constant.
ContinuousConnection	An instance of a connection in a **continuousProjection** between **presynapticPopulation** to another **postsynapticPopulation** through a **preComponent** at the start and **postComponent** at the end.
ContinuousConnectionInstance	An instance of a connection in a **continuousProjection** between **presynapticPopulation** to another **postsynapticPopulation** through a **preComponent** at the start and **postComponent** at the end.
ContinuousConnectionInstanceW	An instance of a connection in a **continuousProjection** between **presynapticPopulation** to another **postsynapticPopulation** through a **preComponent** at the start and **postComponent** at the end.
ContinuousProjection	A projection between **presynapticPopulation** and **postsynapticPopulation** through components **preComponent** at the start and **postComponent** at the end of a **continuousConnection** or **continuousConnectionInstance** .
DecayingPoolConcentrationModel	Model of an intracellular buffering mechanism for **ion** ( currently hard Coded to be calcium, due to requirement for **iCa** ) which has a baseline level **restingConc** and tends to this value with time course **decayConstant.** The ion is assumed to occupy a shell inside the membrane of thickness **shellThickness.** \n :param restingConc: :type restingConc: concentration :param decayConstant: :type decayConstant: time :param shellThickness: :type shellThickness: length
DerivedParameter	LEMS DerivedParamter element
DerivedVariable	LEMS ComponentType for DerivedVariable
DistalDetails	What to do at the distal point when creating an inhomogeneous parameter
DoubleSynapse	Synapse consisting of two independent synaptic mechanisms ( e.
Dynamics	LEMS ComponentType for Dynamics
EIFCondAlphaIsfaIsta	Adaptive exponential integrate and fire neuron according to Brette R and Gerstner W ( 2005 ) with alpha-function-shaped post-synaptic conductance \n :param v_spike: :type v_spike: none :param delta_T: :type delta_T: none :param tau_w: :type tau_w: none :param a: :type a: none :param b: :type b: none :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
EIFCondExpIsfaIsta	Adaptive exponential integrate and fire neuron according to Brette R and Gerstner W ( 2005 ) with exponentially-decaying post-synaptic conductance \n :param v_spike: :type v_spike: none :param delta_T: :type delta_T: none :param tau_w: :type tau_w: none :param a: :type a: none :param b: :type b: none :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
ElectricalConnection	To enable connections between populations through gap junctions.
ElectricalConnectionInstance	To enable connections between populations through gap junctions.
ElectricalConnectionInstanceW	To enable connections between populations through gap junctions.
ElectricalProjection	A projection between **presynapticPopulation** to another **postsynapticPopulation** through gap junctions.
EventOut	Java class for EventOut complex type.
ExpCondSynapse	Conductance based synapse with instantaneous rise and single exponential decay ( with time constant tau_syn ) \n :param e_rev: :type e_rev: none :param tau_syn: :type tau_syn: none
ExpCurrSynapse	Current based synapse with instantaneous rise and single exponential decay ( with time constant tau_syn ) \n :param tau_syn: :type tau_syn: none
ExplicitInput	An explicit input ( anything which extends **basePointCurrent** ) to a target cell in a population
ExpOneSynapse	Ohmic synapse model whose conductance rises instantaneously by ( **gbase** * **weight** ) on receiving an event, and which decays exponentially to zero with time course **tauDecay** \n :param tauDecay: Time course of decay :type tauDecay: time :param gbase: Baseline conductance, generally the maximum conductance following a single spike :type gbase: conductance :param erev: Reversal potential of the synapse :type erev: voltage
Exposure	LEMS Exposure (ComponentType property)
ExpThreeSynapse	Ohmic synapse similar to expTwoSynapse but consisting of two components that can differ in decay times and max conductances but share the same rise time.
ExpTwoSynapse	Ohmic synapse model whose conductance waveform on receiving an event has a rise time of **tauRise** and a decay time of **tauDecay.** Max conductance reached during this time ( assuming zero conductance before ) is **gbase** * **weight.** \n :param tauRise: :type tauRise: time :param tauDecay: :type tauDecay: time :param gbase: Baseline conductance, generally the maximum conductance following a single spike :type gbase: conductance :param erev: Reversal potential of the synapse :type erev: voltage
ExtracellularProperties	Java class for ExtracellularProperties complex type.
ExtracellularPropertiesLocal	Java class for ExtracellularPropertiesLocal complex type.
FitzHughNagumo1969Cell	The Fitzhugh Nagumo model is a two-dimensional simplification of the Hodgkin-Huxley model of spike generation in squid giant axons.
FitzHughNagumoCell	Simple dimensionless model of spiking cell from FitzHugh and Nagumo.
FixedFactorConcentrationModel	Model of buffering of concentration of an ion ( currently hard coded to be calcium, due to requirement for **iCa** ) which has a baseline level **restingConc** and tends to this value with time course **decayConstant.** A fixed factor **rho** is used to scale the incoming current *independently of the size of the compartment* to produce a concentration change.
ForwardTransition	A forward only **KSTransition** for a **gateKS** which specifies a **rate** ( type **baseHHRate** ) which follows one of the standard Hodgkin Huxley forms ( e.
GapJunction	Gap junction/single electrical connection \n :param conductance: :type conductance: conductance
GateFractional	Gate composed of subgates contributing with fractional conductance \n :param instances: :type instances: none
GateFractionalSubgate	Java class for GateFractionalSubgate complex type.
GateHHInstantaneous	Gate which follows the general Hodgkin Huxley formalism but is instantaneous, so tau = 0 and gate follows exactly inf value \n :param instances: :type instances: none
GateHHRates	Gate which follows the general Hodgkin Huxley formalism \n :param instances: :type instances: none
GateHHRatesInf	Gate which follows the general Hodgkin Huxley formalism \n :param instances: :type instances: none
GateHHRatesTau	Gate which follows the general Hodgkin Huxley formalism \n :param instances: :type instances: none
GateHHRatesTauInf	Gate which follows the general Hodgkin Huxley formalism \n :param instances: :type instances: none
GateHHTauInf	Gate which follows the general Hodgkin Huxley formalism \n :param instances: :type instances: none
GateHHUndetermined	Note all sub elements for gateHHrates, gateHHratesTau, gateFractional etc.
GateKS	A gate which consists of multiple **KSState** s and **KSTransition** s giving the rates of transition between them \n :param instances: :type instances: none
GateTypes	Java class for gateTypes.
GradedSynapse	Graded/analog synapse.
GridLayout	Java class for GridLayout complex type.
HHCondExp	Single-compartment Hodgkin-Huxley-type neuron with transient sodium and delayed-rectifier potassium currents using the ion channel models from Traub.
HHRate	Java class for HHRate complex type.
HHTime	Java class for HHTime complex type.
HHVariable	Java class for HHVariable complex type.
HindmarshRose1984Cell	The Hindmarsh Rose model is a simplified point cell model which captures complex firing patterns of single neurons, such as periodic and chaotic bursting.
IafCell	Integrate and fire cell with capacitance **C,** **leakConductance** and **leakReversal** \n :param leakConductance: :type leakConductance: conductance :param leakReversal: :type leakReversal: voltage :param thresh: :type thresh: voltage :param reset: :type reset: voltage :param C: Total capacitance of the cell membrane :type C: capacitance
IafRefCell	Integrate and fire cell with capacitance **C,** **leakConductance,** **leakReversal** and refractory period **refract** \n :param refract: :type refract: time :param leakConductance: :type leakConductance: conductance :param leakReversal: :type leakReversal: voltage :param thresh: :type thresh: voltage :param reset: :type reset: voltage :param C: Total capacitance of the cell membrane :type C: capacitance
IafTauCell	Integrate and fire cell which returns to its leak reversal potential of **leakReversal** with a time constant **tau** \n :param leakReversal: :type leakReversal: voltage :param tau: :type tau: time :param thresh: The membrane potential at which to emit a spiking event and reset voltage :type thresh: voltage :param reset: The value the membrane potential is reset to on spiking :type reset: voltage
IafTauRefCell	Integrate and fire cell which returns to its leak reversal potential of **leakReversal** with a time course **tau.** It has a refractory period of **refract** after spiking \n :param refract: :type refract: time :param leakReversal: :type leakReversal: voltage :param tau: :type tau: time :param thresh: The membrane potential at which to emit a spiking event and reset voltage :type thresh: voltage :param reset: The value the membrane potential is reset to on spiking :type reset: voltage
IFCondAlpha	Leaky integrate and fire model with fixed threshold and alpha-function-shaped post-synaptic conductance \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
IFCondExp	Leaky integrate and fire model with fixed threshold and exponentially-decaying post-synaptic conductance \n :param e_rev_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_E: none :param e_rev_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type e_rev_I: none :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
IFCurrAlpha	Leaky integrate and fire model with fixed threshold and alpha-function-shaped post-synaptic current \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
IFCurrExp	Leaky integrate and fire model with fixed threshold and decaying-exponential post-synaptic current \n :param tau_refrac: :type tau_refrac: none :param v_thresh: :type v_thresh: none :param tau_m: :type tau_m: none :param v_rest: :type v_rest: none :param v_reset: :type v_reset: none :param cm: :type cm: none :param i_offset: :type i_offset: none :param tau_syn_E: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_E: none :param tau_syn_I: This parameter is never used in the NeuroML2 description of this cell! Any synapse producing a current can be placed on this cell :type tau_syn_I: none :param v_init: :type v_init: none
Include	Include all members of another **segmentGroup** in this group
IncludeType	Java class for IncludeType complex type.
InhomogeneousParameter	An inhomogeneous parameter specified across the **segmentGroup** ( see **variableParameter** for usage ).
InhomogeneousValue	Specifies the **value** of an **inhomogeneousParameter.** For usage see **variableParameter**
InitMembPotential	Explicitly set initial membrane potential for the cell \n :param value: :type value: voltage
Input	Specifies a single input to a **target,** optionally giving the **segmentId** ( default 0 ) and **fractionAlong** the segment ( default 0.
InputList	An explicit list of **input** s to a **population.**
InputW	Specifies input lists.
Instance	Specifies a single instance of a component in a **population** ( placed at **location** ).
InstanceRequirement	Java class for InstanceRequirement complex type.
IntracellularProperties	Biophysical properties related to the intracellular space within the **cell** , such as the **resistivity** and the list of ionic **species** present.
IntracellularProperties2CaPools	Variant of intracellularProperties with 2 independent Ca pools
IonChannel	Note **ionChannel** and **ionChannelHH** are currently functionally identical.
IonChannelHH	Note **ionChannel** and **ionChannelHH** are currently functionally identical.
IonChannelKS	A kinetic scheme based ion channel with multiple **gateKS** s, each of which consists of multiple **KSState** s and **KSTransition** s giving the rates of transition between them \n :param conductance: :type conductance: conductance
IonChannelScalable	Java class for IonChannelScalable complex type.
IonChannelVShift	Same as **ionChannel** , but with a **vShift** parameter to change voltage activation of gates.
Izhikevich2007Cell	Cell based on the modified Izhikevich model in Izhikevich 2007, Dynamical systems in neuroscience, MIT Press \n :param v0: Initial membrane potential :type v0: voltage :param k: :type k: conductance_per_voltage :param vr: Resting membrane potential :type vr: voltage :param vt: Spike threshold :type vt: voltage :param vpeak: Peak action potential value :type vpeak: voltage :param a: Time scale of recovery variable u :type a: per_time :param b: Sensitivity of recovery variable u to subthreshold fluctuations of membrane potential v :type b: conductance :param c: After-spike reset value of v :type c: voltage :param d: After-spike increase to u :type d: current :param C: Total capacitance of the cell membrane :type C: capacitance
IzhikevichCell	Cell based on the 2003 model of Izhikevich, see http://izhikevich.org/publications/spikes.htm \n :param v0: Initial membrane potential :type v0: voltage :param a: Time scale of the recovery variable U :type a: none :param b: Sensitivity of U to the subthreshold fluctuations of the membrane potential V :type b: none :param c: After-spike reset value of V :type c: none :param d: After-spike increase to U :type d: none :param thresh: Spike threshold :type thresh: voltage
Layout	Java class for Layout complex type.
LEMSProperty	Java class for LEMS_Property complex type.
LinearGradedSynapse	Behaves just like a one way gap junction.
Location	Specifies the ( x, y, z ) location of a single **instance** of a component in a **population** \n :param x: :type x: none :param y: :type y: none :param z: :type z: none
Member	A single identified **segment** which is part of the **segmentGroup**
MembraneProperties	Properties specific to the membrane, such as the **populations** of channels, **channelDensities,** **specificCapacitance,** etc.
MembraneProperties2CaPools	Variant of membraneProperties with 2 independent Ca pools
Metric	Java class for Metric.
Morphology	The collection of **segment** s which specify the 3D structure of the cell, along with a number of **segmentGroup** s
NamedDimensionalType	Java class for NamedDimensionalType complex type.
NamedDimensionalVariable	Java class for NamedDimensionalVariable complex type.
Network	Network containing: **population** s ( potentially of type **populationList** , and so specifying a list of cell **location** s ); **projection** s ( with lists of **connection** s ) and/or **explicitConnection** s; and **inputList** s ( with lists of **input** s ) and/or **explicitInput** s.
NetworkTypes	Java class for networkTypes.
NeuroMLDocument	Java class for NeuroMLDocument complex type.
ObjectFactory	This object contains factory methods for each Java content interface and Java element interface generated in the org.neuroml.model package.
OnCondition	Java class for OnCondition complex type.
OnEntry	Java class for OnEntry complex type.
OnEvent	Java class for OnEvent complex type.
OnStart	Java class for OnStart complex type.
OpenState	A **KSState** with **relativeConductance** of 1 \n :param relativeConductance: :type relativeConductance: none
Parameter	Java class for Parameter complex type.
Path	Include all the **segment** s between those specified by **from** and **to** , inclusive
PinskyRinzelCA3Cell	Reduced CA3 cell model from Pinsky, P.
PlasticityMechanism	Java class for PlasticityMechanism complex type.
PlasticityTypes	Java class for PlasticityTypes.
Point3DWithDiam	Base type for ComponentTypes which specify an ( **x,** **y,** **z** ) coordinate along with a **diameter.** Note: no dimension used in the attributes for these coordinates! These are assumed to have dimension micrometer ( 10^-6 m ).
PoissonFiringSynapse	Poisson spike generator firing at **averageRate,** which is connected to single **synapse** that is triggered every time a spike is generated, producing an input current.
Population	A population of components, with just one parameter for the **size,** i.
PopulationTypes	Java class for populationTypes.
Projection	Projection from one population, **presynapticPopulation** to another, **postsynapticPopulation,** through **synapse.** Contains lists of **connection** or **connectionWD** elements.
Property	A property ( a **tag** and **value** pair ), which can be on any **baseStandalone** either as a direct child, or within an **Annotation** .
ProximalDetails	What to do at the proximal point when creating an inhomogeneous parameter
PulseGenerator	Generates a constant current pulse of a certain **amplitude** for a specified **duration** after a **delay.** Scaled by **weight,** if set \n :param delay: Delay before change in current.
PulseGeneratorDL	Dimensionless equivalent of **pulseGenerator** .
Q10ConductanceScaling	A value for the conductance scaling which varies as a standard function of the difference between the current temperature, **temperature,** and the temperature at which the conductance was originally determined, **experimentalTemp** \n :param q10Factor: :type q10Factor: none :param experimentalTemp: :type experimentalTemp: temperature
Q10Settings	Java class for Q10Settings complex type.
RampGenerator	Generates a ramping current after a time **delay,** for a fixed **duration.** During this time the current steadily changes from **startAmplitude** to **finishAmplitude.** Scaled by **weight,** if set \n :param delay: Delay before change in current.
RampGeneratorDL	Dimensionless equivalent of **rampGenerator** .
RandomLayout	Java class for RandomLayout complex type.
ReactionScheme	Java class for ReactionScheme complex type.
Regime	Java class for Regime complex type.
Region	Initial attempt to specify 3D region for placing cells.
Requirement	Java class for Requirement complex type.
Resistivity	The resistivity, or specific axial resistance, of the cytoplasm \n :param value: :type value: resistivity
ReverseTransition	A reverse only **KSTransition** for a **gateKS** which specifies a **rate** ( type **baseHHRate** ) which follows one of the standard Hodgkin Huxley forms ( e.
Segment	A segment defines the smallest unit within a possibly branching structure ( **morphology** ), such as a dendrite or axon.
SegmentEndPoint	Java class for SegmentEndPoint complex type.
SegmentGroup	A method to describe a group of **segment** s in a **morphology** , e.
SegmentParent	Java class for SegmentParent complex type.
SilentSynapse	Dummy synapse which emits no current.
SineGenerator	Generates a sinusoidally varying current after a time **delay,** for a fixed **duration.** The **period** and maximum **amplitude** of the current can be set as well as the **phase** at which to start.
SineGeneratorDL	Dimensionless equivalent of **sineGenerator** .
Space	Java class for Space complex type.
SpaceStructure	Java class for SpaceStructure complex type.
Species	Description of a chemical species identified by **ion,** which has internal, **concentration,** and external, **extConcentration** values for its concentration \n :param initialConcentration: :type initialConcentration: concentration :param initialExtConcentration: :type initialExtConcentration: concentration
SpecificCapacitance	Capacitance per unit area \n :param value: :type value: specificCapacitance
Spike	Emits a single spike at the specified **time** \n :param time: Time at which to emit one spike event :type time: time
SpikeArray	Set of spike ComponentTypes, each emitting one spike at a certain time.
SpikeGenerator	Simple generator of spikes at a regular interval set by **period** \n :param period: Time between spikes.
SpikeGeneratorPoisson	Generator of spikes whose ISI is distributed according to an exponential PDF with scale: 1 / **averageRate** \n :param averageRate: The average rate at which spikes are emitted :type averageRate: per_time
SpikeGeneratorRandom	Generator of spikes with a random interspike interval of at least **minISI** and at most **maxISI** \n :param maxISI: Maximum interspike interval :type maxISI: time :param minISI: Minimum interspike interval :type minISI: time
SpikeGeneratorRefPoisson	Generator of spikes whose ISI distribution is the maximum entropy distribution over [ **minimumISI,** +infinity ) with mean: 1 / **averageRate** \n :param minimumISI: The minimum interspike interval :type minimumISI: time :param averageRate: The average rate at which spikes are emitted :type averageRate: per_time
SpikeSourcePoisson	Spike source, generating spikes according to a Poisson process.
SpikeThresh	Membrane potential at which to emit a spiking event.
Standalone	Elements which can stand alone and be referenced by id, e.g.
StateAssignment	Java class for StateAssignment complex type.
StateVariable	Java class for StateVariable complex type.
SubTree	Include all the **segment** s distal to that specified by **from** in the **segmentGroup**
SynapticConnection	Explicit event connection between named components, which gets processed via a new instance of a **synapse** component which is created on the target component
TauInfTransition	KS Transition specified in terms of time constant **tau** and steady state **inf**
TimeDerivative	Java class for TimeDerivative complex type.
TimedSynapticInput	Spike array connected to a single **synapse,** producing a current triggered by each **spike** in the array.
TransientPoissonFiringSynapse	Poisson spike generator firing at **averageRate** after a **delay** and for a **duration,** connected to single **synapse** that is triggered every time a spike is generated, providing an input current.
Transition	Java class for Transition complex type.
TrueOrFalse	Java class for TrueOrFalse.
UnstructuredLayout	Java class for UnstructuredLayout complex type.
VariableParameter	Specifies a **parameter** ( e.
VoltageClamp	Voltage clamp.
VoltageClampTriple	Voltage clamp with 3 clamp levels.