- IADD - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- IADD - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
the array of addition of spike induced current
- id - Variable in class cnslab.cnsnetwork.SizeID
-
- id - Variable in class cnslab.cnsnetwork.VSICLIFNeuron.State
-
- id - Variable in class cnslab.cnsnetwork.VSICLIFNeuronV2.State
-
- IDcounter - Variable in class cnslab.cnsnetwork.AvalancheCounter
-
- idIndex - Variable in class cnslab.cnsnetwork.JpvmInfo
-
index of this machine(Nethost) in an array of ids
- idum - Variable in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- idum - Variable in class cnslab.cnsnetwork.LayerStructure
-
- idum - Variable in class cnslab.cnsnetwork.MainSimulator
-
Seed number used in simulation.
- idum - Variable in class cnslab.cnsnetwork.SimulatorParser
-
seed number
- idum2 - Static variable in class cnslab.cnsmath.Cnsran
-
- IEXT - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
external constant current
- IEXT - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
external constant current
- IEXT - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
external constant current
- imageIO - Class in cnslab.image
-
- imageIO() - Constructor for class cnslab.image.imageIO
-
- imageUpdate(Image, int, int, int, int, int) - Method in class cnslab.image.iObserver
-
- incCount() - Method in class cnslab.cnsmath.RBTree
-
- includes(T) - Method in class cnslab.cnsmath.RBTree
-
Implements collections.Collection.includes.
- index - Variable in class cnslab.cnsnetwork.FireEvent
-
neuron index
- index - Variable in class cnslab.cnsnetwork.MiNiNeuron.State
-
The index of this State among other States of the same type.
- indexmap - Variable in class cnslab.cnsnetwork.LayerStructure
-
for slow cellmap
- info - Static variable in class cnslab.cnsnetwork.ANetHost
-
- info - Variable in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- info - Variable in class cnslab.cnsnetwork.MainSimulator
-
Information of JPVM
- info - Variable in class cnslab.cnsnetwork.Network
-
the parallel machine informations
- ini_curr - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- ini_curr - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
the array of initial spike induced current
- ini_mem - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
initial membrane voltage
- ini_mem - Variable in class cnslab.cnsnetwork.SIFNeuronPara
-
initialized membrane voltage
- ini_mem - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- ini_mem - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
initial membrane voltage
- ini_memVar - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
initial membrane voltage jitter, uniformly distributed.
- ini_memVar - Variable in class cnslab.cnsnetwork.SIFNeuronPara
-
initialized membrane voltage variance
- ini_memVar - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- ini_memVar - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
initial membrane voltage jitter, uniformly distributed.
- ini_spike_curr - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
Initial spike induced currents
- ini_threshold - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
initial voltage threshold
- ini_threshold - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- ini_threshold - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
initial membrane voltage variance
- init() - Method in class cnslab.cnsnetwork.ANetwork
-
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.BKPoissonNeuron
-
- init() - Method in class cnslab.cnsnetwork.IntraRecBuffer
-
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.MiNiNeuron
-
- init() - Method in class cnslab.cnsnetwork.Network
-
Initialize the queues, put the first element into each of the queues.
- init(int, int, Seed, Network, int) - Method in interface cnslab.cnsnetwork.Neuron
-
initialize the neuron
- init() - Static method in class cnslab.cnsnetwork.PlotResult
-
initialize the plotting class
- init(String) - Static method in class cnslab.cnsnetwork.PlotResult
-
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.SIFNeuron
-
- init(int) - Method in class cnslab.cnsnetwork.Stimulus
-
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.SYNNeuron
-
initialize the neuron
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.UserSenNeuron
-
Each sub experiment use the date from subexperiment 0, unless changed
the code by uncommenting the line.
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.VSICLIFNeuron
-
- init(int, int, Seed, Network, int) - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
- init(boolean, String) - Method in class jpvm.jpvmEnvironment
-
- initMain() - Method in class cnslab.cnsnetwork.Network
-
One time initialization, initialize the structure to store the times.
- initNet() - Method in class cnslab.cnsnetwork.ANetwork
-
- initNet() - Method in class cnslab.cnsnetwork.Network
-
Initializes the Network.
- inorderTreeWalk(RBCell<T>, PrintStream) - Method in class cnslab.cnsmath.RBTree
-
Prints the keys of current tree in inorder (ascending).
- inorderTreeWalk(RBCell<T>, StringWrap) - Method in class cnslab.cnsmath.RBTree
-
- INPUT_EVENT - Static variable in class cnslab.cnsnetwork.PRun
-
internal Input event id
- InputEvent - Class in cnslab.cnsnetwork
-
Neuron input event, contains input time, branch of synapses and id of
presynaptic neuron.
- InputEvent(double, Branch, int) - Constructor for class cnslab.cnsnetwork.InputEvent
-
- inputProcess(InputEvent) - Method in class cnslab.cnsnetwork.ANetwork
-
process the event from inputQueue
- inputProcess(InputEvent) - Method in class cnslab.cnsnetwork.Network
-
Deprecated.
- inputQueue - Variable in class cnslab.cnsnetwork.Network
-
The (internal) input spike queue
- insertExperimentDataIntoRecorderData(RecorderData, int, int, String, LinkedList<Double>) - Static method in class cnslab.cnsnetwork.RecorderDataLib
-
Inserts experiment data into a RecorderData instance.
- insertExperimentRecorderDataIntoRecorderData(RecorderData, Experiment, RecorderData) - Static method in class cnslab.cnsnetwork.RecorderDataLib
-
- insertItem(T) - Method in class cnslab.cnsnetwork.FiboQueue
-
- insertItem(T) - Method in class cnslab.cnsnetwork.MTreeQueue
-
- insertItem(T) - Method in class cnslab.cnsnetwork.PriQueue
-
- insertItem(T) - Method in interface cnslab.cnsnetwork.Queue
-
Insert one item into the Queue
- insertItem(T) - Method in class cnslab.cnsnetwork.TreeQueue
-
- insertLeft(RBCell, RBCell) - Method in class cnslab.cnsmath.RBCell
-
There's no generic element insertion.
- insertRecvConnection(jpvmRecvConnection) - Method in class jpvm.jpvmConnectionSet
-
- insertRight(RBCell, RBCell) - Method in class cnslab.cnsmath.RBCell
-
Insert cell as the right child of current node, and then
rebalance the tree it is in.
- insertSendConnection(jpvmSendConnection) - Method in class jpvm.jpvmConnectionSet
-
- INSTANCE - Static variable in class edu.jhu.mb.ernst.engine.event.DefaultDiscreteEventComparatorImp
-
- INSTANCE - Static variable in class edu.jhu.mb.ernst.engine.factory.DefaultEngineFactoryImp
-
- INSTANCE - Static variable in class edu.jhu.mb.ernst.model.factory.DefaultModelFactoryImp
-
- int2P - Static variable in class jpvm.jpvmDaemon
-
- intraEle - Variable in class cnslab.cnsnetwork.Recorder
-
Intracelluar electrodes, pool the inner arraylist of neurons info
together
- intraIndex(int) - Method in class cnslab.cnsnetwork.Recorder
-
- IntraInfo - Class in cnslab.cnsnetwork
-
Class stored the information for intracellular recorder.
- IntraInfo(double, LinkedList<Double>) - Constructor for class cnslab.cnsnetwork.IntraInfo
-
- intraNames - Variable in class cnslab.cnsnetwork.PlotResult
-
intracellular electrodes names
- intraNames - Variable in class cnslab.cnsnetwork.Recorder
-
- intraNeurons() - Method in class cnslab.cnsnetwork.Recorder
-
- intraPlot() - Static method in class cnslab.cnsnetwork.PlotResult
-
- IntraRecBuffer - Class in cnslab.cnsnetwork
-
Stored array of neurons which needs to be recorded.
- IntraRecBuffer(int[]) - Constructor for class cnslab.cnsnetwork.IntraRecBuffer
-
- intraRecBuffers - Variable in class cnslab.cnsnetwork.Network
-
recorded intracellular info
- intraReceiver - Variable in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- intraReceiver - Variable in class cnslab.cnsnetwork.RecWriter
-
- intraTimeBinSize - Variable in class cnslab.cnsnetwork.Recorder
-
- iObserver - Class in cnslab.image
-
- iObserver() - Constructor for class cnslab.image.iObserver
-
- IRATIO - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- IRATIO - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
the array of multiplication of spike induced current
- isBlack() - Method in class cnslab.cnsmath.RBTNode
-
color of the node to black.
- isRed - Variable in class cnslab.cnsmath.RBTNode
-
The color node of current node.
- isRoot() - Method in class cnslab.cnsmath.RBCell
-
Return true if node is a root (i.e., has a null parent)
- isSensory() - Method in class cnslab.cnsnetwork.BKPoissonNeuron
-
- isSensory() - Method in class cnslab.cnsnetwork.MiNiNeuron
-
- isSensory() - Method in interface cnslab.cnsnetwork.Neuron
-
sensory report
- isSensory() - Method in class cnslab.cnsnetwork.SIFNeuron
-
- isSensory() - Method in class cnslab.cnsnetwork.SYNNeuron
-
- isSensory() - Method in class cnslab.cnsnetwork.UserSenNeuron
-
- isSensory() - Method in class cnslab.cnsnetwork.VSICLIFNeuron
-
- isSensory() - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
- iterExit - Variable in class cnslab.cnsmath.RBTree
-
make iterate exit
- iv - Static variable in class cnslab.cnsmath.Cnsran
-
- iy - Static variable in class cnslab.cnsmath.Cnsran
-