- c - Variable in class cnslab.cnsmath.KCelement
-
- calConstants() - Method in class cnslab.cnsnetwork.MiNiNeuronPara
-
Pre-calculate constants.
- calConstants() - Method in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- calConstants() - Method in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
pre-processing parameters
- CAP - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
capacitance of the neuron farad
- CAP - Variable in class cnslab.cnsnetwork.SIFNeuronPara
-
capacitance of the neuron farad
- CAP - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
capacitance of the neuron farad
- CAP - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
capacitance of the neuron farad
- Cell<T extends Comparable> - Class in cnslab.cnsmath
-
Cell is the base of a bunch of implementation classes
for lists and the like.
- Cell(T) - Constructor for class cnslab.cnsmath.Cell
-
Make a cell with element value v
- Cell() - Constructor for class cnslab.cnsmath.Cell
-
Make A cell with null element value
- celllayer_cordinate(int, String, String) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- celllayer_test(int, String, String) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- cellmap - Variable in class cnslab.cnsnetwork.Network
-
a data structure map "pre,x,y,suf" to neuron index
- cellmap_slow(String, String, int, int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- celltype - Variable in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- celltype_slow(int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- changeConnection(String, String, String, String, boolean, double, int, double, double[][], int, boolean) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- changeConnection(String, String, String, String, double, int, double, double[][], int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- changeConnection - Static variable in interface cnslab.cnsnetwork.NetMessageTag
-
- checkTime - Static variable in interface cnslab.cnsnetwork.NetMessageTag
-
- clamp_t - Variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
clamp the threshold during absolute refractory period
- clamp_t - Variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
clamp the threshold during absolute refractory period
- clamp_v - Variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
clamp the membrane voltage during absolute refractory period
- clamp_v - Variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
clamp the membrane voltage during absolute refractory period
- clampThreshold - Variable in class cnslab.cnsnetwork.MiNiNeuron
-
clamp the threshold during absolute refractory period
- clampVoltage - Variable in class cnslab.cnsnetwork.MiNiNeuron
-
clamp the membrane voltage during absolute refractory period
- clear() - Method in class cnslab.cnsmath.RBTree
-
Implements collections.UpdatableCollection.clear.
- clear() - Method in class cnslab.cnsnetwork.AvalancheCounter
-
- clear() - Method in class cnslab.cnsnetwork.FiboQueue
-
- clear() - Method in class cnslab.cnsnetwork.MTreeQueue
-
- clear() - Method in class cnslab.cnsnetwork.PriQueue
-
- clear() - Method in interface cnslab.cnsnetwork.Queue
-
clear the queue items.
- clear() - Method in class cnslab.cnsnetwork.RecorderData
-
- clear() - Method in class cnslab.cnsnetwork.TreeQueue
-
clear the queue items.
- clear(Object) - Method in class cnslab.gui.Example1
-
- clear() - Method in interface edu.jhu.mb.ernst.engine.DiscreteEventQueue
-
- clear() - Method in class edu.jhu.mb.ernst.engine.queue.DefaultDiscreteEventQueueImp
-
- clearModulationFactors() - Method in interface edu.jhu.mb.ernst.model.ModulatedSynapse
-
The weight is immediately restored to the unmodulated value.
- clearModulationFactors() - Method in class edu.jhu.mb.ernst.model.synapse.ModulatedSynapseImp
-
- clearQueues() - Method in class cnslab.cnsnetwork.Network
-
- clone() - Method in class cnslab.cnsmath.Cell
-
- clone() - Method in class cnslab.cnsnetwork.FireEvent
-
- clone() - Method in class cnslab.cnsnetwork.InputEvent
-
- clone() - Method in class cnslab.cnsnetwork.PInputEvent
-
- closeHosts() - Method in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- closePoint(int, int, String, String) - Method in class cnslab.cnsnetwork.LayerStructure
-
Given tolayer of neuron and iterx, itery coordinates,
return the closest point.
- cnslab.cnsmath - package cnslab.cnsmath
-
- cnslab.cnsnetwork - package cnslab.cnsnetwork
-
- cnslab.gui - package cnslab.gui
-
- cnslab.image - package cnslab.image
-
- Cnsran - Class in cnslab.cnsmath
-
- Cnsran() - Constructor for class cnslab.cnsmath.Cnsran
-
- coefficients - Variable in class cnslab.cnsmath.Polynomial
-
- color_ - Variable in class cnslab.cnsmath.RBCell
-
The node color (RED, BLACK)
- compare(DiscreteEvent, DiscreteEvent) - Method in class edu.jhu.mb.ernst.engine.event.DefaultDiscreteEventComparatorImp
-
- compareTo(KCelement) - Method in class cnslab.cnsmath.KCelement
-
- compareTo(FireEvent) - Method in class cnslab.cnsnetwork.FireEvent
-
- compareTo(InputEvent) - Method in class cnslab.cnsnetwork.InputEvent
-
- compareTo(MiNiNeuron.State) - Method in class cnslab.cnsnetwork.MiNiNeuron.State
-
Sorts in descending order of decay rate.
- compareTo(PInputEvent) - Method in class cnslab.cnsnetwork.PInputEvent
-
- compareTo(Points) - Method in class cnslab.cnsnetwork.Points
-
Deprecated.
- compareTo(VSICLIFNeuron.State) - Method in class cnslab.cnsnetwork.VSICLIFNeuron.State
-
- compareTo(VSICLIFNeuronV2.State) - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2.State
-
- compareTo(Synapse) - Method in class edu.jhu.mb.ernst.model.synapse.ModulatedSynapseImp
-
- compareTo(Synapse) - Method in class edu.jhu.mb.ernst.model.synapse.MutableSynapseImp
-
- compareTo(Synapse, Synapse) - Static method in class edu.jhu.mb.ernst.model.synapse.SynapseLib
-
- coms - Variable in class cnslab.cnsnetwork.VComponents
-
- CON - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
constant for membrane voltage - threshold
- CON - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
constant for membrane voltage - threshold
- CON_v - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
constant for membrane voltage
- CON_v - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
constant for membrane voltage
- Conf() - Method in class cnslab.gui.GConsole
-
- connect(String, String, String, String, boolean, double, byte, double, int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- connect(String, String, String, String, boolean, double, int, double, double[][], int, boolean) - Method in class cnslab.cnsnetwork.LayerStructure
-
Makeing connections between from and to layer of neurons, L connection.
- connect(String, String, String, String, boolean, double, int, double, double[][], double[][], int, boolean) - Method in class cnslab.cnsnetwork.LayerStructure
-
Makeing connections between from and to layer of neurons, probability connection.
- connect(String, String, String, String, double, int, double, double[][], int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Makeing connections between from and to layer of neurons, general connection.
- connect(String, String, String, String, boolean, double, int, double, double[][]) - Method in class cnslab.cnsnetwork.LayerStructure
-
Deprecated.
- connect(jpvmTaskId, jpvmTaskId) - Static method in class jpvm.jpvmSendConnection
-
- connectFrom(String, PrintStream) - Method in class cnslab.cnsnetwork.LayerStructure
-
For debugging, pring out the connections connects from neuron with String id .
- connectgp(String, String, String, String, double, int, double, double[][], double[][], int) - Method in class cnslab.cnsnetwork.LayerStructure
-
Makeing connections between from and to layer of neurons, general probability connection.
- console - Variable in class cnslab.gui.mainErnst
-
- ContentProcess - Class in cnslab.gui
-
Presents a list of XML models to choose from and validates selected.
- ContentProcess(Thinlet) - Constructor for class cnslab.gui.ContentProcess
-
- ContentProcessResult - Class in cnslab.gui
-
- ContentProcessResult(Thinlet) - Constructor for class cnslab.gui.ContentProcessResult
-
- ContentProcessResult2 - Class in cnslab.gui
-
- ContentProcessResult2(Thinlet, String) - Constructor for class cnslab.gui.ContentProcessResult2
-
- Convolution - Class in cnslab.image
-
- Convolution() - Constructor for class cnslab.image.Convolution
-
- convolve(int[][], double[][]) - Static method in class cnslab.image.Convolution
-
- convolve_safe(int[][], double[][]) - Static method in class cnslab.image.Convolution
-
- cost - Static variable in class cnslab.cnsnetwork.MiNiNeuron
-
the expected cost of inserting a preliminary fire estimate into the
event queue (as opposed to performing another NR iteration)
- cost - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
- cost - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
total cost, the costs associated to putting an temporary spike time
in
- cost_Schedule - Static variable in class cnslab.cnsnetwork.MiNiNeuron
-
the cost associated with one queue schedule (see D'Haene, 2009)
- cost_Schedule - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
- cost_Schedule - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
the cost associated with queue schedule. see D'hane's paper
- cost_Update - Static variable in class cnslab.cnsnetwork.MiNiNeuron
-
the cost associated with one neuron update (see D’Haene, 2009)
- cost_Update - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
- cost_Update - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
the cost associated with neuron update,see D'hane's paper
- count() - Method in class cnslab.cnsmath.Polynomial
-
- count(T) - Method in class cnslab.cnsmath.RBCell
-
Return number of nodes of current subtree containing element.
- count(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- count_ - Variable in class cnslab.cnsmath.RBTree
-
- CountIt(ANetwork, int, int) - Method in class cnslab.cnsnetwork.AvalancheCounter
-
- countTrial - Variable in class cnslab.cnsnetwork.Network
-
- createDiscreteEventComparator() - Method in interface edu.jhu.mb.ernst.engine.EngineFactory
-
- createDiscreteEventComparator() - Method in class edu.jhu.mb.ernst.engine.factory.DefaultEngineFactoryImp
-
- createDiscreteEventQueue() - Method in interface edu.jhu.mb.ernst.engine.EngineFactory
-
- createDiscreteEventQueue(Comparator<DiscreteEvent>) - Method in interface edu.jhu.mb.ernst.engine.EngineFactory
-
- createDiscreteEventQueue() - Method in class edu.jhu.mb.ernst.engine.factory.DefaultEngineFactoryImp
-
- createDiscreteEventQueue(Comparator<DiscreteEvent>) - Method in class edu.jhu.mb.ernst.engine.factory.DefaultEngineFactoryImp
-
- createFieldPanel() - Method in class cnslab.cnsnetwork.PlotResult
-
create the panel
- createIntraPanel() - Method in class cnslab.cnsnetwork.PlotResult
-
create the intracellular recorder panel
- createModulatedSynapse(int, byte, float) - Method in class edu.jhu.mb.ernst.model.factory.DefaultModelFactoryImp
-
- createModulatedSynapse(int, byte, float) - Method in interface edu.jhu.mb.ernst.model.ModelFactory
-
- createModulationDiscreteEvent(double, String, double, Seq<ModulatedSynapse>) - Method in class edu.jhu.mb.ernst.model.factory.DefaultModelFactoryImp
-
- createModulationDiscreteEvent(double, String, double, Seq<ModulatedSynapse>) - Method in interface edu.jhu.mb.ernst.model.ModelFactory
-
- createMUPanel(int) - Method in class cnslab.cnsnetwork.PlotResult
-
create the panel
- createMutableSynapse(int, byte, float) - Method in class edu.jhu.mb.ernst.model.factory.DefaultModelFactoryImp
-
- createMutableSynapse(int, byte, float) - Method in interface edu.jhu.mb.ernst.model.ModelFactory
-
- createSimulatorParser(DOMImplementationLS, byte[], int, JpvmInfo) - Static method in class cnslab.cnsnetwork.NetHost
-
- createSuPanel(int) - Method in class cnslab.cnsnetwork.PlotResult
-
- createSynapse(int, byte, float) - Method in class edu.jhu.mb.ernst.model.factory.DefaultModelFactoryImp
-
- createSynapse(int, byte, float) - Method in interface edu.jhu.mb.ernst.model.ModelFactory
-
- createVectorPanel() - Method in class cnslab.cnsnetwork.PlotResult
-
create the panel
- curr - Variable in class cnslab.cnsnetwork.IntraInfo
-
currents for each of the receptors
- currChannel - Variable in class cnslab.cnsnetwork.Recorder
-
Intracelluar electrodes, the current channels that needs to be
recorded.
- currExp - Variable in class cnslab.cnsnetwork.PlotResult
-
- currField - Variable in class cnslab.cnsnetwork.PlotResult
-
- currFrame - Variable in class cnslab.cnsnetwork.PlotResult
-
- currIntra - Variable in class cnslab.cnsnetwork.PlotResult
-
- currMax - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table max boundary
- currMin - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table min boundary
- currStep - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table step size