File List

Here is a list of all documented files with brief descriptions:

[detail level 1234]

▼ Simulator
▼ Connections
► Neuro
ConnGrowth.cpp	The model of the activity-dependent neurite outgrowth
ConnGrowth.h	The model of the activity-dependent neurite outgrowth
ConnGrowth_d.cpp	Update the weights of the Synapses in the simulation
ConnStatic.cpp	The model of the small world network
ConnStatic.h	The model of the small world network
► NG911
Connections911.cpp	This class manages the Connections of the NG911 network
Connections911.h	This class manages the Connections of the NG911 network
Connections.cpp	Methods for creating and updating connections
Connections.h	The base class of all connections classes
▼ Core
► FunctionNodes
GenericFunctionNode.cpp	Stores a function to invoke. Used by operation manager to store functions to defined by an operation type
GenericFunctionNode.h	Stores a function to invoke. Used by operation manager to store functions to defined by an operation type
IFunctionNode.h	Interface for storing and invoking functions. Used to support different FunctionNode classes that define different function signatures
Core.cpp	Orchestrates most functionality in the simulation
Core.h	Orchestrates most functionality in the simulation
CPUModel.cpp	Implementation of Model for graph-based networks
CPUModel.h	Implementation of Model for execution on CPU (single core)
EdgeIndexMap.h	A structure maintains outgoing and edges list (forward map)
GPUModel.cpp	Implementation of Model for the spiking neural networks
GPUModel.h	Implementation of Model for the graph-based networks
Graphitti_Main.cpp	Starting point of the Simulation - Main
Model.cpp	Implementation of Model for the graph-based networks
Model.h	Implementation of Model for graph-based networks
OperationManager.cpp	Singleton instance method that registers and executes functions based on operation types
OperationManager.h	Singleton instance method that registers and executes functions based on operation types
Operations.h	This class is public reference to the operation types that the OperationManager can register and execute. Stores operation types as an enum
Serializer.cpp	Provides serialization and deserialization functionality using the Cereal library
Serializer.h	Provides serialization and deserialization functionality using the Cereal library
Simulator.cpp	Platform independent base class for the Brain Grid simulator. Simulator is a singleton class (a class that can only have one object)
Simulator.h	Platform independent base class for the Brain Grid simulator. Simulator is a singleton class (a class that can only have one object)
▼ Edges
► Neuro
AllDSSynapses.cpp	A container of all DS synapse data
AllDSSynapses.h	A container of all DS synapse data
AllDSSynapses_d.cpp	A container of all DS synapse data
AllDynamicSTDPSynapses.cpp	A container of all dynamic STDP synapse data
AllDynamicSTDPSynapses.h	A container of all dynamic STDP synapse data
AllDynamicSTDPSynapses_d.cpp	A container of all dynamic STDP synapse data
AllNeuroEdges.cpp
AllNeuroEdges.h	A container of all edge data
AllSpikingSynapses.cpp	A container of all dynamic STDP synapse data
AllSpikingSynapses.h	A container of all spiking synapse data
AllSpikingSynapses_d.cpp
AllSTDPSynapses.cpp	A container of all STDP synapse data
AllSTDPSynapses.h	A container of all STDP synapse data
AllSTDPSynapses_d.cpp	A container of all STDP synapse data
AllSynapsesDeviceFuncs.h	Device functions for synapse data
AllSynapsesDeviceFuncs_d.cpp	Device functions for synapse data
► NG911
All911Edges.cpp	Specialization of the AllEdges class for the NG911 network
All911Edges.h	Specialization of the AllEdges class for the NG911 network
AllEdges.cpp	A container of all edge data
AllEdges.h	An interface and top level implementation for edge classes
▼ Layouts
► Neuro
LayoutNeuro.cpp	The Layout class defines the layout of vertices in neural networks
LayoutNeuro.h	The Layout class defines the layout of vertices in neural networks
► NG911
Layout911.cpp	Specialization of the Layout class for the NG911 network
Layout911.h	Specialization of the Layout class for the NG911 network
Layout.cpp	The Layout class defines the layout of neurons in neural networks
Layout.h	The Layout class defines the layout for both the neural and 911 simuations
▼ Recorders
► NG911
Xml911Recorder.cpp	Header file for Xml911Recorder.h
Xml911Recorder.h	Header file for Xml911Recorder.h
Hdf5Recorder.cpp	An implementation for recording spikes history on hdf5 file
Hdf5Recorder.h
RecordableBase.h	An abstract base class defining the interface for recordable variables in the simulator
RecordableVector.h	A template class providing a concrete implementation of the recordable variable interface for one-dimensional variables
Recorder.h	An interface for recording variables/data acquisition system
XmlRecorder.cpp	An implementation for recording variable information on xml file
XmlRecorder.h	Provides an implementation for recording Graph-based simulation variable history in an XML file. It can be reused to: 1) Change variables to record in an existing model. 2) Record variables for new integrated network simulations. Supports updated types: Constant and Dynamic. Supports recording 1-D variables whose base class is RecordableBase
▼ Utils
► Inputs
FSInput.cpp	A factoy class that creates an instance of stimulus input object
FSInput.h	A factoy class for stimulus input classes
GpuSInputPoisson.cu	A class that performs stimulus input (implementation Poisson) on GPU
GpuSInputPoisson.h	A class that performs stimulus input (implementation Poisson on GPU)
GpuSInputRegular.cu	A class that performs stimulus input (implementation Regular) on GPU
GpuSInputRegular.h	A class that performs stimulus input (implementation Regular on GPU)
HostSInputPoisson.cpp	A class that performs stimulus input (implementation Poisson)
HostSInputPoisson.h	A class that performs stimulus input (implementation Poisson)
HostSInputRegular.cpp	A class that performs stimulus input (implementation Regular)
HostSInputRegular.h	A class that performs stimulus input (implementation Regular)
ISInput.h	An interface for stimulus input classes
SInputPoisson.cpp	A class that performs stimulus input (implementation Poisson)
SInputPoisson.h	A class that performs stimulus input (implementation Poisson)
SInputRegular.cpp	A class that performs stimulus input (implementation Regular)
SInputRegular.h	A class that performs stimulus input (implementation Regular)
► Matrix
CompleteMatrix.cpp	An efficient implementation of a dynamically-allocated 2D array
CompleteMatrix.h	An efficient implementation of a dynamically-allocated 2D array
Matrix.cpp	Abstract base class for Matrices
Matrix.h	Abstract base class for Matrices
MatrixExceptions.h	Exception class hierarchy for Matrix classes
MatrixFactory.cpp	Deserializes Matrices from XML
MatrixFactory.h	Deserializes Matrices from XML
SparseMatrix.cpp	An efficient implementation of a dynamically-allocated 2D sparse array. Self-allocating and de-allocating
SparseMatrix.h	An efficient implementation of a dynamically-allocated 2D sparse array
VectorMatrix.cpp	An efficient implementation of a dynamically-allocated 1D array
VectorMatrix.h	An efficient implementation of a dynamically-allocated 1D array
► RNG
MersenneTwister_d.cu	MersenneTwister logic from Nvidia
MersenneTwister_d.h	MersenneTwister logic from Nvidia
MersenneTwister_demo.cu
MTRand.cpp	Mersenne Twister logic from Nvidia
MTRand.h	Mersenne Twister logic from Nvidia
Norm.cpp	Normally distributed random numbers
Norm.h	Normally distributed random numbers
BGTypes.h	Used to define uniform data type sizes based for all operating systems. Also used to test the speed of simulation based on the data types
Book.h	Handles CUDA exceptions
CircularBuffer.h
Coordinate.h	A container for 2-dimensional coordinates
Factory.h	A factory template for creating factory class for any subsystem that requires a factory to create a (singleton) concrete class instance at runtime. The class instance is based on a class name specified in the configuration file
Global.cpp	Globally available functions/variables and default parameter values
Global.h	Globally available functions/variables and default parameter values
GraphManager.cpp	The GraphManager is a wrapper around the Boost Graph Library (BGL)
GraphManager.h	A basic Template Circular Buffer
InputEvent.h	Structs to hold InputEvent attributes read from input files
InputManager.h	Template class for reading input events from XML formatted files
ParameterManager.cpp	A class which contains and manages access to the XML parameter file used by a simulator instance at runtime
ParameterManager.h	A singleton class which contains and manages access to the XML parameter file used by a simulator instance at runtime
ParseParamError.cpp	Handles parameter error messaging
ParseParamError.h	Handles parameter error messaging
Timer.cpp	CSS432 UDP Socket Class
Timer.h	Timer class, from CSS432
Util.cpp	Helper function to parse integers in fixed layout
Util.h	Helper function to parse integers in fixed layout
▼ Vertices
► Neuro
AllIFNeurons.cpp	A container of all Integate and Fire (IF) neuron data
AllIFNeurons.h	A container of all Integate and Fire (IF) neuron data
AllIFNeurons_d.cpp	A container of all Integate and Fire (IF) neuron data
AllIZHNeurons.cpp	A container of all Izhikevich neuron data
AllIZHNeurons.h	A container of all Izhikevich neuron data
AllIZHNeurons_d.cpp	A container of all Izhikevich neuron data
AllLIFNeurons.cpp
AllLIFNeurons.h	A container of all LIF neuron data
AllLIFNeurons_d.cpp	A container of all LIF neuron data
AllSpikingNeurons.cpp	A container of all spiking neuron data
AllSpikingNeurons.h	A container of all spiking neuron data
AllSpikingNeurons_d.cpp
AllVerticesDeviceFuncs.h	Device functions for vertices
AllVerticesDeviceFuncs_d.cpp	Device functions for vertices
► NG911
All911Vertices.cpp	Specialization of the AllVertices class for the NG911 network
All911Vertices.h	Specialization of the AllVertices class for the NG911 network
AllVertices.cpp	A container of the base class of all vertex data
AllVertices.h	A container of the base class of all vertex data
EventBuffer.cpp	Encapsulation of vertex event buffering
EventBuffer.h	Encapsulation of vertex event buffering