- main(String[]) - Static method in class cnslab.cnsnetwork.ANetHost
-
- main(String[]) - Static method in class cnslab.cnsnetwork.MainSimulator
-
Main method with default values for step debugging.
- main(String[]) - Static method in class cnslab.cnsnetwork.NetHost
-
- main(String[]) - Static method in class cnslab.cnsnetwork.PlotResult
-
- main(String[]) - Static method in class cnslab.cnsnetwork.SimulatorParser
-
- main(String[]) - Static method in class cnslab.cnsnetwork.TrialHost
-
- main(String[]) - Static method in class cnslab.gui.Example1
-
- main(String[]) - Static method in class cnslab.gui.mainErnst
-
- main(String[]) - Static method in class jpvm.jpvmConsole
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- main(String[]) - Static method in class jpvm.jpvmDaemon
-
- main(String[]) - Static method in class starter
-
- mainAllowed(FireEvent) - Method in class cnslab.cnsnetwork.PMainBK
-
Deprecated.
- mainErnst - Class in cnslab.gui
-
Graphic interface for the simulator.
- mainErnst() - Constructor for class cnslab.gui.mainErnst
-
- MainSimulator - Class in cnslab.cnsnetwork
-
The class for main host, which spawn all the trial hosts and
NetNosts, setup timer to check progress of the simulation and collect
recorded data from all NetHosts.
- MainSimulator(Seed, File, int) - Constructor for class cnslab.cnsnetwork.MainSimulator
-
- MainSimulator(Seed, String, int) - Constructor for class cnslab.cnsnetwork.MainSimulator
-
- MainSimulator.ToDo - Class in cnslab.cnsnetwork
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Timer to check progress of the nethosts periodically.
- MainSimulator.ToDo(int) - Constructor for class cnslab.cnsnetwork.MainSimulator.ToDo
-
- mapcells() - Method in class cnslab.cnsnetwork.LayerStructure
-
Map the cells in linear fashion.
- mapType - Variable in class cnslab.cnsnetwork.SimulatorParser
-
cell map type abmap or linemap
- Matrix<T> - Class in cnslab.cnsmath
-
- Matrix(int, int) - Constructor for class cnslab.cnsmath.Matrix
-
- Matrix(int, int, T) - Constructor for class cnslab.cnsmath.Matrix
-
- Matrix(T[][]) - Constructor for class cnslab.cnsmath.Matrix
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Construct a matrix from a 2-D array.
- Matrix(T[], int) - Constructor for class cnslab.cnsmath.Matrix
-
Construct a matrix from a one-dimensional packed array
- matrixDataMap - Variable in class cnslab.cnsnetwork.SimulatorParser
-
Matrix Data defined in Data section of XML file
- maxHosts - Static variable in class jpvm.jpvmDaemon
-
- maxWeight - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
- maxWeight - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
- maxWeight - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
initialization of the maxWeight which was used in a previous method
in doesfire
- mean(double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Same as var function, except mean is computed
- mean(int, double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Same as var function, except mean is computed
- mean(int, int, double[]) - Static method in class cnslab.cnsnetwork.FunUtil
-
Same as var function, except mean is computed
- MEMBRANE_VOLTAGE_BASE - Variable in class cnslab.cnsnetwork.MiNiNeuronPara
-
constant for membrane voltage
- membraneVoltage(double) - Method in class cnslab.cnsnetwork.MiNiNeuron
-
Compute the membrane voltage.
- memMax - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table max boundary
- memMin - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table min boundary
- memStep - Static variable in class cnslab.cnsnetwork.SIFNeuron
-
For table step size
- memStheta(double) - Method in class cnslab.cnsnetwork.VSICLIFNeuron
-
- memStheta(double) - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
Membrane voltage computate mem = S+\theta
- memV - Variable in class cnslab.cnsnetwork.IntraInfo
-
neuron membrane voltage
- memVoltage(double) - Method in class cnslab.cnsnetwork.VSICLIFNeuron
-
absolute time t
- memVoltage(double) - Method in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
get the membrane voltage
- messageTag - Variable in class jpvm.jpvmMessage
-
- minAccuracy - Variable in class cnslab.cnsmath.Polynomial
-
- minAccuracy - Static variable in class cnslab.cnsnetwork.FunUtil
-
- minDelay - Variable in class cnslab.cnsnetwork.FitFun
-
Deprecated.
- minDelay - Variable in class cnslab.cnsnetwork.MainSimulator
-
Minimum synaptic delay
- minDelay - Variable in class cnslab.cnsnetwork.SimulatorParser
-
minimum synaptic delay
- MiNiNeuron - Class in cnslab.cnsnetwork
-
MN model with STDP implemented.
- MiNiNeuron(MiNiNeuronPara) - Constructor for class cnslab.cnsnetwork.MiNiNeuron
-
- MiNiNeuron.State - Class in cnslab.cnsnetwork
-
- MiNiNeuron.State(double, double, int, int) - Constructor for class cnslab.cnsnetwork.MiNiNeuron.State
-
- MiNiNeuronPara - Class in cnslab.cnsnetwork
-
MiNiNeuron neuron parameters.
- MiNiNeuronPara() - Constructor for class cnslab.cnsnetwork.MiNiNeuronPara
-
- MINRISETIME - Variable in class cnslab.cnsnetwork.SIFNeuronPara
-
minimum rising time for neuron to fire
- MINRISETIME - Static variable in class cnslab.cnsnetwork.VSICLIFNeuron
-
minimum rising time for neuron to fire
- MINRISETIME - Variable in class cnslab.cnsnetwork.VSICLIFNeuronPara
-
Deprecated.
- MINRISETIME - Variable in class cnslab.cnsnetwork.VSICLIFNeuronParaV2
-
Deprecated.
- MINRISETIME - Static variable in class cnslab.cnsnetwork.VSICLIFNeuronV2
-
Deprecated.
- minSynapticDelay - Variable in class cnslab.cnsnetwork.Network
-
the minimum synaptic delay
- minTime - Variable in class cnslab.cnsnetwork.PRun
-
Minimum of synaptic delay
- modelFactory - Variable in class cnslab.cnsnetwork.Network
-
- ModelFactory - Interface in edu.jhu.mb.ernst.model
-
Factory for creating model instances.
- modelFile - Variable in class cnslab.cnsnetwork.MainSimulator
-
Simulation XML file
- modelParaMap - Variable in class cnslab.cnsnetwork.SimulatorParser
-
Model parameters
- ModulatedSynapse - Interface in edu.jhu.mb.ernst.model
-
A Synapse that can have neuromodulation factors applied.
- ModulatedSynapseImp - Class in edu.jhu.mb.ernst.model.synapse
-
Modulated Synapse implementation.
- ModulatedSynapseImp(int, byte, float) - Constructor for class edu.jhu.mb.ernst.model.synapse.ModulatedSynapseImp
-
- MTreeQueue<T extends Comparable<T>> - Class in cnslab.cnsnetwork
-
Implement my customized Queue with Red-backtree data structure.
- MTreeQueue() - Constructor for class cnslab.cnsnetwork.MTreeQueue
-
- multiCounter - Variable in class cnslab.cnsnetwork.RecWriter
-
don't consider trials
- multiCounterAll - Variable in class cnslab.cnsnetwork.RecWriter
-
considering separate trials
- multiNames - Variable in class cnslab.cnsnetwork.Recorder
-
Multi unit recorder names
- multiUnit - Variable in class cnslab.cnsnetwork.Recorder
-
Multi unit array, stored the array of recorded index of neurons
- muPlot() - Static method in class cnslab.cnsnetwork.PlotResult
-
- MutableSynapse - Interface in edu.jhu.mb.ernst.model
-
Mutable extension of interface Synapse.
- MutableSynapseImp - Class in edu.jhu.mb.ernst.model.synapse
-
Direct access implementation of interface MutableSynapse.
- MutableSynapseImp(int, byte, float) - Constructor for class edu.jhu.mb.ernst.model.synapse.MutableSynapseImp
-
- myJpvmTaskId - Variable in class cnslab.cnsnetwork.JpvmInfo
-
tid of current machine