- ran1(Seed) - Static method in class cnslab.cnsmath.Cnsran
-
- ran2(Seed) - Static method in class cnslab.cnsmath.Cnsran
-
- RBCell<T extends Comparable> - Class in cnslab.cnsmath
-
RBCell implements basic capabilities of Red-Black trees,
an efficient kind of balanced binary tree.
- RBCell(T) - Constructor for class cnslab.cnsmath.RBCell
-
Make a new cell with given element, null links, and BLACK color.
- RBTNode<T extends Comparable> - Class in cnslab.cnsmath
-
- RBTNode(T) - Constructor for class cnslab.cnsmath.RBTNode
-
- RBTNode() - Constructor for class cnslab.cnsmath.RBTNode
-
- RBTree<T extends Comparable> - Class in cnslab.cnsmath
-
RedBlack trees.
- RBTree() - Constructor for class cnslab.cnsmath.RBTree
-
Constructs a new empty tree.
- RBTree(RBCell<T>) - Constructor for class cnslab.cnsmath.RBTree
-
Constructs a new tree with a root node x.
- rdata - Variable in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- rdata - Variable in class cnslab.cnsnetwork.UserSenNeuronPara
-
- readDaemonFile() - Method in class jpvm.jpvmEnvironment
-
- readField(int, int) - Method in class cnslab.cnsnetwork.PlotResult
-
populate the field electrode data structure.
- readIntra(int, int) - Method in class cnslab.cnsnetwork.PlotResult
-
- readMU(int) - Method in class cnslab.cnsnetwork.PlotResult
-
- readRecorderDataFromBinaryFile(File) - Static method in class cnslab.cnsnetwork.RecorderDataLib
-
- readRecorderDataFromTextFile(File) - Static method in class cnslab.cnsnetwork.RecorderDataLib
-
Creates a RecorderData and populates it with data from a text file.
- readRecorderDataFromTextFile(RecorderData, File) - Static method in class cnslab.cnsnetwork.RecorderDataLib
-
Parses the input from a text file.
- readSu() - Method in class cnslab.cnsnetwork.PlotResult
-
- readSu(int) - Method in class cnslab.cnsnetwork.PlotResult
-
- readVector(int, int) - Method in class cnslab.cnsnetwork.PlotResult
-
populate the vector electrode data structure.
- readySig - Static variable in interface cnslab.cnsnetwork.NetMessageTag
-
- realFire() - Method in class cnslab.cnsnetwork.BKPoissonNeuron
-
- realFire() - Method in class cnslab.cnsnetwork.MiNiNeuron
-
- realFire() - Method in interface cnslab.cnsnetwork.Neuron
-
- realFire() - Method in class cnslab.cnsnetwork.SIFNeuron
-
- realFire() - Method in class cnslab.cnsnetwork.SYNNeuron
- realFire() - Method in class cnslab.cnsnetwork.UserSenNeuron
-
- realFire() - Method in class cnslab.cnsnetwork.VSICLIFNeuron
-
- realFire() - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
- received - Variable in class cnslab.cnsnetwork.Network
-
used for keep record of received spikes
- receiver - Variable in class cnslab.cnsnetwork.RecWriter
-
The recorded info
- record(String) - Method in class cnslab.cnsnetwork.RecWriter
-
Record the data into file fileOut
- recordBuff - Variable in class cnslab.cnsnetwork.Network
-
recorded info buffer
- RecordBuffer - Class in cnslab.cnsnetwork
-
A buffer to keep all the recorded spikes for sending to main host.
- RecordBuffer() - Constructor for class cnslab.cnsnetwork.RecordBuffer
-
- recorder - Variable in class cnslab.cnsnetwork.Experiment
-
recorder info
- Recorder - Class in cnslab.cnsnetwork
-
The class used to record neuron activities.
- Recorder(SimulatorParser, boolean) - Constructor for class cnslab.cnsnetwork.Recorder
-
- recorderData - Variable in class cnslab.cnsnetwork.Network
-
Store the recorded data.
- RecorderData - Class in cnslab.cnsnetwork
-
The processed recorded data for different electrodes.
- RecorderData() - Constructor for class cnslab.cnsnetwork.RecorderData
-
- RecorderDataLib - Class in cnslab.cnsnetwork
-
Static method library to support RecorderData.
- recv(jpvmRecvConnection) - Method in class jpvm.jpvmBuffer
-
- recv(jpvmRecvConnection) - Method in class jpvm.jpvmMessage
-
- recv(DataInputStream) - Method in class jpvm.jpvmTaskId
-
- RecWriter - Class in cnslab.cnsnetwork
-
Write the recorded data into files.
- RecWriter(Experiment, SimulatorParser, LinkedList[], RecorderData) - Constructor for class cnslab.cnsnetwork.RecWriter
-
- RecWriter(Experiment, SimulatorParser, LinkedList[], RecorderData, AvalancheCounter) - Constructor for class cnslab.cnsnetwork.RecWriter
-
- REFCURR - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
refractory current
- REFCURR - Variable in class cnslab.cnsnetwork.SIFNeuronPara
-
refractory current
- REFCURR - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
refractory current
- REFCURR - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
refractory current
- referenceCheck() - Method in class cnslab.cnsnetwork.SimulatorParser
-
Check XML reference is good or not
- reflex(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- removeOneOf(T) - Method in class cnslab.cnsmath.RBTree
-
Implements collections.UpdatableCollection.removeOneOf.
- repetition - Variable in class cnslab.cnsnetwork.SubExp
-
number of repetitions or trials
- replaceAllOf(T, T) - Method in class cnslab.cnsmath.RBTree
-
Implements collections.UpdatableCollection.replaceAllOf.
- replaceOneOf(T, T) - Method in class cnslab.cnsmath.RBTree
-
Implements collections.UpdatableCollection.replaceOneOf
Time complexity: O(log n).
- rEPS - Static variable in class cnslab.cnsnetwork.MiNiNeuron
-
the criterion for removing synapses: if a synaptic channel does not
get an input for a long time such that its current decays below rEPS,
it is removed from computations of the voltage and future updates up
until it gets an input
- rEPS - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
the criteria for removing synapses
- rEPS - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
the criteria for removing synapses, if a synaptic channel does not
get an input for a long time such that its current decays below rEPS,
it is removed from computations of the voltage and future updates up
until it gets an input
- RESET - Static variable in class cnslab.cnsnetwork.PRun
-
Deprecated.
- resetNetHost - Static variable in interface cnslab.cnsnetwork.NetMessageTag
-
- reSetSeed() - Method in class cnslab.cnsnetwork.LayerStructure
-
- RESULTS_DIR - Static variable in class cnslab.cnsnetwork.MainSimulator
-
- RESULTS_DIR_PREFIX - Static variable in class cnslab.cnsnetwork.MainSimulator
-
- reverse() - Method in class cnslab.cnsmath.Polynomial
-
- reverse(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- rewind() - Method in class jpvm.jpvmBuffer
-
- RH(double[], double) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- right() - Method in class cnslab.cnsmath.RBCell
-
Return right child (or null)
- right - Variable in class cnslab.cnsmath.RBTNode
-
The right child node of current node.
- right() - Method in class cnslab.cnsmath.RBTNode
-
Returns the right child of the node.
- right_ - Variable in class cnslab.cnsmath.RBCell
-
Pointer to right child
- rightmost() - Method in class cnslab.cnsmath.RBCell
-
Return the maximum element of the current (sub)tree
- rightTo(RBTNode<T>) - Method in class cnslab.cnsmath.RBTNode
-
Sets the right child node to parent.
- root() - Method in class cnslab.cnsmath.RBCell
-
Return the root (parentless node) of the tree
- root() - Method in class cnslab.cnsmath.RBTree
-
Returns the root of the tree.
- rootElement - Variable in class cnslab.cnsnetwork.SimulatorParser
-
- rootTime - Variable in class cnslab.cnsnetwork.Network
-
the root broadcasting time
- rotateLeft(RBCell) - Method in class cnslab.cnsmath.RBCell
-
From CLR
- rotateRight(RBCell) - Method in class cnslab.cnsmath.RBCell
-
From CLR
- RPout(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- RRESET - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
- RRESET - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
- RRESET - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
- rRotate90(double[][]) - Static method in class cnslab.cnsnetwork.FunUtil
-
right rotate matrix 90 degree
- RtalorShiftNegOne(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- RtalorShiftOne(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Deprecated.
- run() - Method in class cnslab.cnsnetwork.AMainSimulator
-
- run() - Method in class cnslab.cnsnetwork.KeyInput
-
Deprecated.
- run() - Method in class cnslab.cnsnetwork.MainSimulator
-
Organize the whole simulation in following steps:
1. start to parse the XML file
2. map cells, finding the numbers of neuron IDs.
3. parse neuronal definitions
4. parse the experiment
5. find the minimum synaptic delay
6. startup the JPVM
7. spawn all the trial hosts
8. spawn all the net hosts
9. fill up the jpvm info structure
10. setup the timing to send check progress message to all the
NetHosts periodically.
11. listing in background to communicate with TrialHosts and NetHosts
to initialize new trials, collect recorded data etc.
12. organize collected data and record it
13. end the simulation
- run() - Method in class cnslab.cnsnetwork.PMainBK
-
Deprecated.
- run() - Method in class cnslab.cnsnetwork.PRun
-
- run() - Method in class cnslab.cnsnetwork.TrialHost
-
- run() - Method in class cnslab.gui.ContentProcess
-
- run() - Method in class cnslab.gui.ContentProcessResult
-
- run() - Method in class cnslab.gui.ContentProcessResult2
-
- run() - Method in class cnslab.gui.GConsole
-
- run() - Method in class cnslab.gui.OutputListen
-
- run() - Method in class cnslab.gui.UpdateMessage
-
- run() - Method in class cnslab.gui.UpdateScroll
-
- run() - Method in class jpvm.jpvmBarrierServer
-
- run() - Method in class jpvm.jpvmConnectionServer
-
- run() - Method in class jpvm.jpvmRecvBarrier
-
- run() - Method in class jpvm.jpvmRecvThread
-
- runAllowed() - Method in class cnslab.cnsnetwork.PRun
-