A special Poisson generator that can hide a fixed number of spatio-temporal patterns in the spike data. More...

#include <StructuredPoissonGroup.h>

Inheritance diagram for auryn::StructuredPoissonGroup:

Collaboration diagram for auryn::StructuredPoissonGroup:

Public Member Functions
	StructuredPoissonGroup (NeuronID n, AurynFloat duration, AurynFloat interval, NeuronID stimuli=1, AurynDouble rate=5., string tiserfile="stimulus.dat")

virtual	~StructuredPoissonGroup ()

virtual void	evolve ()

Public Member Functions inherited from auryn::PoissonGroup
	PoissonGroup (NeuronID n, AurynDouble rate=5.)

virtual	~PoissonGroup ()

void	set_rate (AurynDouble rate)

AurynDouble	get_rate ()

void	seed (unsigned int s)

Public Member Functions inherited from auryn::SpikingGroup
void	add_state_vector (std::string key, AurynStateVector *state_vector)
	Adds a state vector passed as an argument to the dictinary. More...

void	remove_state_vector (std::string key)
	Removes a state vector passed as an argument to the dictinary. More...

AurynStateVector *	find_state_vector (std::string key)
	Returns existing state vector by name or NULL if it does not exist. More...

AurynStateVector *	get_state_vector (std::string key)
	Creates a new or returns an existing state vector by name. More...

AurynStateVector *	get_existing_state_vector (std::string key)
	Returns an existing state with the supplied name. More...

AurynStateVector *	create_state_vector (std::string key)
	Creates a new state vector and throws an exception if a vector with the same name exists. More...

AurynState *	get_state_variable (std::string key)
	Creates a new group-wide state variable or returns an existing group-wide variable by name then returns a pointer to it. More...

void	randomize_state_vector_gauss (std::string state_vector_name, AurynState mean, AurynState sigma, int seed=12239)
	Randomizes the content of a state vector with Gaussian random numbers. Seeding is MPI save. More...

	SpikingGroup (NeuronID size, NodeDistributionMode mode=AUTO)
	Default constructor. More...

virtual	~SpikingGroup ()
	Default destructor. More...

virtual void	evolve_traces ()
	Evolves traces. More...

void	set_name (std::string s)
	Set connection name. More...

std::string	get_name ()
	Retrieves the groups name. More...

std::string	get_file_name ()
	Extracts the class name of the connection from the file name. More...

std::string	get_log_name ()
	Returns a string which is the combination of file and connection name for logging. More...

void	inc_num_spike_attributes (int x)
	Instructs SpikingGroup to increase the number of spike attributes by x. More...

int	get_num_spike_attributes ()

void	conditional_evolve ()
	Conditional evolve functino which is called by System. More...

unsigned int	get_locked_rank ()
	Returns locked rank for SpikingGroups which are not distributed across all ranks. More...

unsigned int	get_locked_range ()
	Returns locked range of ranks for SpikingGroups which are not distributed across all ranks. More...

SpikeContainer *	get_spikes ()
	Returns pointer to a spike container that contains spikes which arrive in this timestep from all neurons in this group. More...

SpikeContainer *	get_spikes_immediate ()
	Returns pointer to SpikeContainer of spikes generated during the last evolve() step. More...

AttributeContainer *	get_attributes ()
	Returns pointer to Attributecontainer for usage in propagating Connection objects. Same as get_spikes_immediate(), however might be overwritten to contain Spikes that have been delayed. More...

AttributeContainer *	get_attributes_immediate ()
	Returns pointer to Attributecontainer of spikes generated during the last evolve() step. More...

NeuronID	get_size ()
	Returns the size of the group. More...

NeuronID	get_pre_size ()
	Returns the size of the group. More...

NeuronID	calculate_rank_size (int rank=-1)
	Determines rank size and stores it in local variable. More...

NeuronID	get_rank_size ()
	Returns the size on this rank. More...

NeuronID	get_post_size ()
	Returns the size on this rank. More...

void	set_clock_ptr (AurynTime *clock)

bool	evolve_locally ()
	Returns true if the calling instance has units which are integrated on the current rank. More...

NeuronID	get_uid ()
	Get the unique ID of the class. More...

Trace *	get_pre_trace (AurynFloat x)
	Returns a pre trace with time constant x. More...

void	add_pre_trace (Trace *tr)
	Adds trace to pretrace stack of a connection. More...

Trace *	get_post_trace (AurynFloat x)
	Returns a post trace with time constant x. More...

void	add_post_trace (Trace *tr)
	Adds trace to posttrace stack of a connection. More...

void	push_spike (NeuronID spike)
	Pushes a local NeuronID as spike into the axonal SpikeDelay buffer. More...

void	push_attribute (AurynFloat attrib)
	Pushes a spike attribute into the axonal SpikeDelay buffer. More...

void	clear_spikes ()
	Clears all spikes stored in the delays which is useful to reset a network during runtime. More...

Trace *	get_post_state_trace (std::string state_name="mem", AurynFloat tau=10e-3, AurynFloat b=0.0)
	Returns a post trace of a neuronal state variable e.g. the membrane potential with time constant tau. More...

Trace *	get_post_state_trace (AurynStateVector *state, AurynFloat tau=10e-3, AurynFloat b=0.0)
	Returns a post trace of a neuronal state variable specified by pointer. More...

void	set_delay (int d)
	Sets axonal delay for this SpikingGroup. More...

virtual bool	write_to_file (const char *filename)
	Writes current states of SpikingGroup to human-readible textfile if implemented in derived class. More...

virtual bool	load_from_file (const char *filename)
	Reads current states of SpikingGroup to human-readible textfile if implemented in derived class. More...

NeuronID	ranksize ()
	Returns size (num of neurons) on the current rank. More...

NeuronID	global2rank (NeuronID i)
	Converts global NeuronID within the SpikingGroup to the local NeuronID on this rank. More...

NeuronID	rank2global (NeuronID i)
	Converts local NeuronID from the local rank to a global NeuronID. More...

bool	localrank (NeuronID i)
	Checks if the global NeuronID i is integrated on this MPI rank. More...

NeuronID	get_vector_size ()
	Rank size but rounded up to multiples of 4 (or potentially some other and larger number in future versions) for SSE compatibility. More...

Public Attributes
bool	stimulus_active

int	current_stimulus

int	seedoffset

Public Attributes inherited from auryn::SpikingGroup
SpikeDelay *	delay

bool	active
	Toggles group active. More...

std::map< std::string, AurynStateVector * >	state_vectors

std::map< std::string, AurynState >	state_variables

Additional Inherited Members
Protected Member Functions inherited from auryn::SpikingGroup
virtual void	load_input_line (NeuronID i, const char *buf)

virtual std::string	get_output_line (NeuronID i)

virtual void	virtual_serialize (boost::archive::binary_oarchive &ar, const unsigned int version)
	Implementatinon of serialize function for writing. More...

virtual void	virtual_serialize (boost::archive::binary_iarchive &ar, const unsigned int version)
	Implementatinon of serialize function for reading. More...

void	free ()
	Frees potentially allocated memory. More...

Protected Attributes inherited from auryn::PoissonGroup
NeuronID	x

Protected Attributes inherited from auryn::SpikingGroup
std::vector< Trace * >	pretraces
	Pretraces. More...

std::vector< Trace * >	posttraces
	Posttraces. More...

std::vector< Trace * >	post_state_traces
	Post state traces. More...

std::vector< AurynFloat >	post_state_traces_spike_biases

std::vector< AurynStateVector * >	post_state_traces_states

std::string	group_name
	Identifying name for object. More...

NeuronID	size
	Stores the size of the group. More...

NeuronID	rank_size
	Stores the size of the group on this rank. More...

SpikeContainer *	spikes
	SpikeContainers to store spikes produced during one step of evolve. More...

AttributeContainer *	attribs

Static Protected Attributes inherited from auryn::SpikingGroup
static AurynTime *	clock_ptr = NULL

Detailed Description

A special Poisson generator that can hide a fixed number of spatio-temporal patterns in the spike data.

This class achieves inserting a fixed number of spatio temporal patterns that are injected at intervals that vary stochastically. In detail this means, aftern an interval drawn from an exponential distribution the PoissonGroup is seeded to a fixed value from a set determinded by the no_of_stimuli variable. The PoissonGroup is then left running for a time determined by stimulus_duration and then reseeded pseudo randomly from get_clock() - therefore a seed cannot repeat due to causality.

Constructor & Destructor Documentation

◆ StructuredPoissonGroup()

StructuredPoissonGroup::StructuredPoissonGroup	(	NeuronID	n,
		AurynFloat	duration,
		AurynFloat	interval,
		NeuronID	stimuli = `1`,
		AurynDouble	rate = `5.`,
		std::string	tiserfile = `"stimulus.dat"`
	)

                                                          : PoissonGroup( n , rate ) 
 {
         init(duration, interval, stimuli, tiserfile );
 }

◆ ~StructuredPoissonGroup()

StructuredPoissonGroup::~StructuredPoissonGroup ( )

virtual

 {
         if ( evolve_locally() ) {
                 tiserfile.close();
         }
 }

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Member Function Documentation

◆ evolve()

void StructuredPoissonGroup::evolve ( )

virtual

Evolve function for internal use by System

Reimplemented from auryn::PoissonGroup.

 {
         if ( auryn::sys->get_clock() >= next_event ) {
                 if ( stimulus_active ) {
                         stimulus_active = false;
                         seed(auryn::sys->get_clock());
                         next_event += (mean_isi-stimulus_duration);
                 } else {
                         stimulus_active = true;
                         current_stimulus = (current_stimulus+1)%no_of_stimuli;
                         x = 0;
                         tiserfile << auryn::sys->get_time() << " " << current_stimulus << std::endl;
                         seed(current_stimulus+seedoffset);
                         next_event += stimulus_duration;
                 }
         }
         PoissonGroup::evolve();
 }

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Member Data Documentation

◆ current_stimulus

int auryn::StructuredPoissonGroup::current_stimulus

◆ seedoffset

int auryn::StructuredPoissonGroup::seedoffset

◆ stimulus_active

bool auryn::StructuredPoissonGroup::stimulus_active

The documentation for this class was generated from the following files:

/home/zenke/auryn/src/auryn/StructuredPoissonGroup.h
/home/zenke/auryn/src/auryn/StructuredPoissonGroup.cpp

Public Member Functions

Public Attributes

Additional Inherited Members