Class | Description |
---|---|
Brain |
modules for the cognitive system
Module : general interface for all components (modules)
DhanModule : the dHAN module, implements the `Module' interface
PatternInputModule : the input module, implements the `Module'
interface
classical auxiliary classes
OneAdaptVar
a single adaptive signal
OneStimulus
class representing an individual external stimuli
OneStimulusContainer
class managing sets of stimuli
OneCenter
representing a globally defined active center (AC)
OneCluster
a general clique; contains a sequence of active centers
OneCycle
a general cycle; contains a sequence of active clusters
abstract auxiliary facilities
FacilPrint
general printing to file facility
FacilCliqueNet
generates networks with a given distribution of cliques
RandomGraphs
facility for the analysis of general random graphs
FacilStimuli
facility to generate sets of test stimuli
classes for the statistical analysis
StatNet
general network-theoretical statistics facility
StatActiClus
facility for finding/evaluation of cliques/cycles/history
StatBiasLearn
monitors from-bias-learning of DhanModule-type modules
StatTimeManagement
monitors time to finish a simulation run
list of important output files
time series of data
Brain_dhan.acti
activities x_i(t)
Brain_dhan.rate
growth rate r_i(t)
Brain_dhan.rateInt
internal contribution to growth rate r_i(t)
Brain_dhan.res
reservoir phi_i(t)
Brain_dhan.bias
bias b(t)
Brain_dhan.backRate
input grows rates
Brain_dhan.backStandDev
standard deviation of incoming link-strength
Brain_dhan.diffModuleSignal
the diffusive learning signal
Brain_dhan.synchro
an effective measure of clique formation
Brain_dhan.actiClus
time series of clusters (cliques) activated
Brain_dhan.actiClusStat
how many times a given cluster was activated
Brain_dhan.actiRate
auxiliary rates
Brain_input.stim
time series of input stimuli
input files
Brain_dhan.ass
cliques (associations) when reading network from file
Brain_input.patt
input stimuli
Brain_input.refPatt
reference patterns for analyzing purposes
output files (generated at the end)
Brain_dhan_input.cliqRecFields
the receptive fields in (input) of cliques in (input)
Brain_dhan_input.cliqRefPatt
the response of cliques in (dhanModule) with respect to reference
patterns in (input)
Brain_dhan.cliq
all cliques in dhanModule module
Brain_dhan.stat
statistics like degree distribution
Brain_dhan.statBackLinks
bin-statistics of the backward links
Brain_dhan_input.backLinks
backlinks connecting (input)-->(dhanModule)
Brain_dhan.acSequence
time sequences of active clusters of a module formed out of
Brain_dhan.actiClus
Brain_dhan.statCycle
statistical properties of cycles of active clusters in
Brain_dhan.actiClus
auxiliary files
Brain_dhan.fig
xfig picture of network
Brain_dhan.learn
an auxiliary learning analysis
output-file name convention Brain_(module1)_(module2)_(...).datatyp
where (module..) are the name of the modules involved in data extraction. |
ConstantSignalModule |
This module is creating a constant signal.
|
DhanModule |
The DhanModule module of the cognitive system (CS).
|
FacilityLegacy | |
LeakyIntegratorModule |
Rate encoding leaky integrator with silent inhibition (RELISI)
|
LeakyIntegratorWithIntrinsicPlasticityModule |
This class extends the
LeakyIntegratorModule by adaptive
transfer functions in order to implement entropy maximization using intrinsic
plasticity. |
Module |
This class provides default implementations for the
Module
interface. |
MyModule | |
NoiseModule |
This module is creating different kinds of noise: white, pink, brown,
gaussian.
|
PatternInputModule |
The PatternInputModule module of the cognitive system (CS).
|
Enum | Description |
---|---|
LeakyIntegratorModule.SilentInhibition |