Auryn simulator  v0.8.1-206-gb56e451
Plastic Spiking Neural Network Simulator
Public Member Functions | Public Attributes | Protected Member Functions | Protected Attributes | List of all members
auryn::MinimalTripletConnection Class Reference

Implements minimal triplet STDP as described by Pfister and Gerstner 2006. More...

#include <MinimalTripletConnection.h>

Inheritance diagram for auryn::MinimalTripletConnection:
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Collaboration diagram for auryn::MinimalTripletConnection:
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Public Member Functions

 MinimalTripletConnection (SpikingGroup *source, NeuronGroup *destination, TransmitterType transmitter=GLUT)
 
 MinimalTripletConnection (SpikingGroup *source, NeuronGroup *destination, const char *filename, AurynFloat eta=1, AurynFloat maxweight=1., TransmitterType transmitter=GLUT)
 
 MinimalTripletConnection (SpikingGroup *source, NeuronGroup *destination, AurynWeight weight, AurynFloat sparseness=0.05, AurynFloat eta=1.0, AurynFloat maxweight=1.0, TransmitterType transmitter=GLUT, string name="MinimalTripletConnection")
 
virtual ~MinimalTripletConnection ()
 
virtual void finalize ()
 Finalizes connection after random or manual initialization of the weights. More...
 
void free ()
 
virtual void propagate ()
 Internally used propagate method. More...
 
virtual void evolve ()
 Evolve method to update internal connection state. Called by System run method. More...
 
- Public Member Functions inherited from auryn::DuplexConnection
 DuplexConnection (const char *filename)
 
 DuplexConnection (NeuronID rows, NeuronID cols)
 
 DuplexConnection (SpikingGroup *source, NeuronGroup *destination, TransmitterType transmitter=GLUT)
 
 DuplexConnection (SpikingGroup *source, NeuronGroup *destination, const char *filename, TransmitterType transmitter=GLUT)
 
 DuplexConnection (SpikingGroup *source, NeuronGroup *destination, AurynWeight weight, AurynFloat sparseness=0.05, TransmitterType transmitter=GLUT, std::string name="DuplexConnection")
 
virtual ~DuplexConnection ()
 
void prune ()
 Prune weight matrices. More...
 
- Public Member Functions inherited from auryn::SparseConnection
 SparseConnection ()
 Empty constructor which should not be used – TODO should be deprecated at some point. More...
 
 SparseConnection (const char *filename)
 Load from wmat file constructor which should not be used – TODO should be deprecated at some point. More...
 
 SparseConnection (NeuronID rows, NeuronID cols)
 Deprecated constructor for manual filling. More...
 
 SparseConnection (SpikingGroup *source, NeuronGroup *destination, const char *filename, TransmitterType transmitter=GLUT)
 Deprecated constructor for loading from file. More...
 
 SparseConnection (SpikingGroup *source, NeuronGroup *destination, TransmitterType transmitter=GLUT, string name="SparseConnection")
 Constructor for manual filling. More...
 
 SparseConnection (SpikingGroup *source, NeuronGroup *destination, AurynWeight weight, AurynDouble sparseness=0.05, TransmitterType transmitter=GLUT, string name="SparseConnection")
 Default constructor which sets up a random sparse matrix with fixed weight between the source and destination group. More...
 
 SparseConnection (SpikingGroup *source, NeuronGroup *destination, SparseConnection *con, string name="SparseConnection")
 This constructor tries to clone a connection by guessing all parameters except source and destination from another connection instance. More...
 
 SparseConnection (SpikingGroup *source, NeuronGroup *destination, AurynWeight weight, AurynDouble sparseness, NeuronID lo_row, NeuronID hi_row, NeuronID lo_col, NeuronID hi_col, TransmitterType transmitter=GLUT)
 Sparse block constructor. More...
 
virtual ~SparseConnection ()
 The default destructor. More...
 
void allocate_manually (AurynLong expected_size)
 Is used whenever memory has to be allocated manually. Automatically adjusts for number of ranks and for security margin. More...
 
AurynLong estimate_required_nonzero_entires (AurynLong nonzero, double sigma=5.)
 This function estimates the required size of the nonzero entry buffer. More...
 
void seed (NeuronID randomseed)
 This function seeds the pseudo random number generator for all random fill operatios. More...
 
virtual AurynWeight get (NeuronID i, NeuronID j)
 Returns weight value of a given element if it exists. More...
 
virtual AurynWeightget_ptr (NeuronID i, NeuronID j)
 Returns pointer to given weight element if it exists. Returns NULL if element does not exist. More...
 
virtual AurynWeight get_data (NeuronID i)
 Returns weight value of a given element referenced by index in the data array. More...
 
virtual void set_data (NeuronID i, AurynWeight value)
 Sets weight value of a given element referenced by its index in the data array. More...
 
virtual void set (NeuronID i, NeuronID j, AurynWeight value)
 Sets a single connection to value if it exists. More...
 
virtual void set (std::vector< neuron_pair > element_list, AurynWeight value)
 Sets a list of connection to value if they exists. More...
 
void random_data (AurynWeight mean, AurynWeight sigma)
 Synonym for random_data. More...
 
void random_data_normal (AurynWeight mean, AurynWeight sigma)
 Set weights of all existing connections randomly using a normal distrubtion. More...
 
void random_data_lognormal (AurynWeight m, AurynWeight s)
 Set weights of all existing connections randomly using a lognormal distribution. More...
 
void init_random_binary (AurynFloat prob=0.5, AurynWeight wlo=0.0, AurynWeight whi=1.0)
 Initialize with random binary at wlo and whi. More...
 
void random_col_data (AurynWeight mean, AurynWeight sigma)
 Sets weights in cols to the same value drewn from a Gaussian distribution. More...
 
void set_block (NeuronID lo_row, NeuronID hi_row, NeuronID lo_col, NeuronID hi_col, AurynWeight weight)
 Sets all weights of existing connections in a block spanned by the first 4 parameters to the value given. More...
 
void scale_block (NeuronID lo_row, NeuronID hi_row, NeuronID lo_col, NeuronID hi_col, AurynWeight alpha)
 Scale all weights of existing connections in a block spanned by the first 4 parameters to the value given. More...
 
virtual void set_all (AurynWeight weight)
 Sets all weights of existing connections to the given value. More...
 
virtual void scale_all (AurynFloat value)
 Scales all weights in the weight matrix with the given value. More...
 
virtual void clip (AurynWeight lo, AurynWeight hi)
 Clip weights. More...
 
void set_upper_triangular (AurynWeight weight)
 Sets weights in a upper triangular matrix. More...
 
virtual void sparse_set_data (AurynDouble sparseness, AurynWeight value)
 Sets a sparse random subset of connection elements wight the given value. More...
 
void connect_random (AurynWeight weight=1.0, AurynDouble sparseness=0.05, bool skip_diag=false)
 Connect src and dst SpikingGroup and NeuronGroup randomly with given sparseness. More...
 
void connect_block_random (AurynWeight weight, AurynDouble sparseness, NeuronID lo_row, NeuronID hi_row, NeuronID lo_col, NeuronID hi_col, bool skip_diag=false)
 Underlying sparse fill method. More...
 
bool push_back (NeuronID i, NeuronID j, AurynWeight weight)
 Pushes a single element to the ComplexMatrix. More...
 
AurynLong get_nonzero ()
 Returns number of nonzero elements in this SparseConnection. More...
 
void put_pattern (type_pattern *pattern, AurynWeight strength, bool overwrite)
 Puts cell assembly to existing sparse weights. More...
 
void put_pattern (type_pattern *pattern1, type_pattern *pattern2, AurynWeight strength, bool overwrite)
 Puts cell assembly or synfire pattern to existing sparse weights. More...
 
void load_patterns (string filename, AurynWeight strength, int nb_max_patterns=10000, bool overwrite=false, bool chainmode=false)
 Reads first n patterns from a .pat file and adds them as Hebbian assemblies onto an existing weight matrix. More...
 
void load_pre_post_patterns (std::string pre_file, std::string post_file, AurynWeight strength, int nb_max_patterns=10000, bool overwrite=false)
 Reads patterns from two files and connects them. More...
 
void sanity_check ()
 Quick an dirty function that checks if all units on the local rank are connected. More...
 
virtual AurynDouble sum ()
 Computes sum of all weight elements in the Connection. More...
 
virtual void stats (AurynDouble &mean, AurynDouble &std)
 Computes mean and variance of weights in default weight matrix. More...
 
virtual void stats (AurynDouble &mean, AurynDouble &std, NeuronID zid)
 Computes mean and variance of weights for matrix state zid. More...
 
bool write_to_file (ForwardMatrix *m, string filename)
 Writes rank specific weight matrix on the same rank to a file. More...
 
virtual bool write_to_file (string filename)
 Writes rank specific default weight matrix on the same rank to a file. More...
 
virtual bool load_from_complete_file (string filename)
 Loads weight matrix from a single file. More...
 
virtual bool load_from_file (string filename)
 Loads weight matrix from Matrix Market (wmat) file. More...
 
bool load_from_file (ForwardMatrix *m, string filename, AurynLong data_size=0)
 Loads weight matrix from Matrix Market (wmat) file to specified weight matrix. More...
 
virtual void set_min_weight (AurynWeight minimum_weight)
 Sets minimum weight (for plastic connections). More...
 
AurynWeight get_min_weight ()
 Gets minimum weight (for plastic connections). More...
 
virtual void set_max_weight (AurynWeight maximum_weight)
 Sets maximum weight (for plastic connections). More...
 
AurynWeight get_max_weight ()
 Gets maximum weight (for plastic connections). More...
 
std::vector< neuron_pairget_block (NeuronID lo_row, NeuronID hi_row, NeuronID lo_col, NeuronID hi_col)
 Returns a vector of ConnectionsID of a block specified by the arguments. More...
 
std::vector< neuron_pairget_post_partners (NeuronID i)
 Returns a vector of ConnectionsID of postsynaptic parterns of neuron i. More...
 
std::vector< neuron_pairget_pre_partners (NeuronID j)
 Returns a vector of ConnectionsID of presynaptic parterns of neuron i. More...
 
- Public Member Functions inherited from auryn::Connection
 Connection ()
 
 Connection (NeuronID rows, NeuronID cols)
 
 Connection (SpikingGroup *source, NeuronGroup *destination, TransmitterType transmitter=GLUT, std::string name="Connection")
 
virtual ~Connection ()
 
void set_size (NeuronID i, NeuronID j)
 
void set_name (std::string name)
 Set name of connection. More...
 
std::string get_name ()
 Returns name of connection. 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...
 
AurynStateVectorget_target_vector ()
 Returns target state vector if one is defined. More...
 
NeuronID get_m_rows ()
 Get number of rows (presynaptic) in connection. More...
 
NeuronID get_n_cols ()
 Get number of columns (postsynaptic) in connection. More...
 
TransmitterType get_transmitter ()
 Returns transmitter type. More...
 
void set_target (AurynWeight *ptr)
 Sets target state of this connection directly via a pointer. More...
 
void set_target (AurynStateVector *ptr)
 Sets target state of this connection directly via a StateVector. More...
 
void set_receptor (AurynStateVector *ptr)
 Same as set_target. More...
 
void set_transmitter (AurynStateVector *ptr)
 Same as set_target. More...
 
void set_transmitter (TransmitterType transmitter)
 Sets target state of this connection for a given receptor as one of Auryn's default transmitter types. More...
 
void set_receptor (string state_name)
 Sets target state of this connection directly the name of a state vector. More...
 
void set_target (string state_name)
 Same as set_receptor. More...
 
void set_transmitter (string state_name)
 Same as set_receptor, but DEPRECATED. More...
 
void set_source (SpikingGroup *source)
 Sets source SpikingGroup of this connection. More...
 
SpikingGroupget_source ()
 Returns pointer to the presynaptic group. More...
 
void set_destination (NeuronGroup *source)
 Sets destination SpikingGroup of this connection. More...
 
NeuronGroupget_destination ()
 Returns pointer to the postsynaptic group. More...
 
void conditional_propagate ()
 DEPRECATED. (Such connections should not be registered in the first place) Calls propagate only if the postsynaptic NeuronGroup exists on the local rank. More...
 
Traceget_pre_trace (const AurynDouble tau)
 Returns a pointer to a presynaptic trace object. More...
 
Traceget_post_trace (const AurynDouble tau)
 Returns a pointer to a postsynaptic trace object. More...
 
Traceget_post_state_trace (const string state_name, const AurynDouble tau, const AurynDouble jump_size=0.0)
 Returns a pointer to a postsynaptic state trace object. More...
 
void transmit (const NeuronID id, const AurynWeight amount)
 Default way to transmit a spike to a postsynaptic partner. More...
 
void targeted_transmit (SpikingGroup *target_group, AurynStateVector *target_state, const NeuronID id, const AurynWeight amount)
 Transmits a spike to a given target group and state. More...
 
void safe_transmit (NeuronID id, AurynWeight amount)
 Same as transmit but first checks if the target neuron exists and avoids segfaults that way (but it's also slower). More...
 
SpikeContainerget_pre_spikes ()
 Supplies pointer to SpikeContainer of all presynaptic spikes. More...
 
SpikeContainerget_post_spikes ()
 Returns pointer to SpikeContainer for postsynaptic spikes on this node. More...
 
void add_number_of_spike_attributes (int x)
 Set up spike delay to accomodate x additional spike attributes. More...
 
AurynFloat get_spike_attribute (const NeuronID i, const int attribute_id=0)
 Returns spike attribute belonging to the spike at position i in the get_spikes() SpikeContainer. More...
 

Public Attributes

AurynFloat A3_plus
 
AurynFloat A2_minus
 
AurynFloat A2_plus
 
bool stdp_active
 
- Public Attributes inherited from auryn::DuplexConnection
ForwardMatrixfwd
 
BackwardMatrixbkw
 
- Public Attributes inherited from auryn::SparseConnection
bool patterns_ignore_gamma
 Switch that toggles for the load_patterns function whether or not to use the intensity (gamma) value. Default is false. More...
 
NeuronID patterns_every_pre
 The every_pre parameter allows to skip presynaptically over pattern IDs when loading patterns. Default is 1. This can be useful to when loading patterns into the exc->inh connections and there significantly less inhibitory cells than exc ones. More...
 
NeuronID patterns_every_post
 The every_post parameter allows to skip postsynaptically over pattern IDs when loading patterns. Default is 1. This can be useful to when loading patterns into the exc->inh connections and there significantly less inhibitory cells than exc ones. More...
 
bool wrap_patterns
 Switch that toggles the behavior when loading a pattern to wrap neuron IDs back onto existing cells via the modulo function. More...
 
ForwardMatrixw
 A pointer that points per default to the ComplexMatrix that stores the connectinos. More...
 
- Public Attributes inherited from auryn::Connection
SpikingGroupsrc
 Pointer to the source group of this connection. More...
 
NeuronGroupdst
 Pointer to the destination group of this connection. More...
 

Protected Member Functions

void propagate_forward ()
 
void propagate_backward ()
 
void sort_spikes ()
 
AurynWeight dw_pre (NeuronID post)
 
AurynWeight dw_post (NeuronID pre, NeuronID post)
 
- Protected Member Functions inherited from auryn::DuplexConnection
void compute_reverse_matrix (int z=0)
 
- Protected Member Functions inherited from auryn::SparseConnection
void virtual_serialize (boost::archive::binary_oarchive &ar, const unsigned int version)
 
void virtual_serialize (boost::archive::binary_iarchive &ar, const unsigned int version)
 
void free ()
 
void allocate (AurynLong bufsize)
 
std::vector< type_patternload_pattern_file (string filename, int nb_max_patterns)
 Reads patterns from a .pat file and returns a vector with the patterns. More...
 
- Protected Member Functions inherited from auryn::Connection
void init (TransmitterType transmitter=GLUT)
 

Protected Attributes

AurynFloat tau_plus
 
AurynFloat tau_minus
 
AurynFloat tau_long
 
NeuronIDfwd_ind
 
AurynWeightfwd_data
 
NeuronIDbkw_ind
 
AurynWeight ** bkw_data
 
PRE_TRACE_MODELtr_pre
 
DEFAULT_TRACE_MODELtr_post
 
DEFAULT_TRACE_MODELtr_post2
 
- Protected Attributes inherited from auryn::SparseConnection
AurynWeight wmin
 
AurynWeight wmax
 
bool skip_diagonal
 
- Protected Attributes inherited from auryn::Connection
TransmitterType trans
 
AurynStateVectortarget_state_vector
 
AurynFloattarget
 A more direct reference on the first element of the target_state_vector. More...
 
NeuronID number_of_spike_attributes
 Number of spike attributes to expect with each spike transmitted through this connection. More...
 
NeuronID spike_attribute_offset
 Stores spike attribute offset in attribute array. More...
 

Additional Inherited Members

- Static Protected Attributes inherited from auryn::SparseConnection
static boost::mt19937 sparse_connection_gen = boost::mt19937()
 

Detailed Description

Implements minimal triplet STDP as described by Pfister and Gerstner 2006.

Constructor & Destructor Documentation

◆ MinimalTripletConnection() [1/3]

MinimalTripletConnection::MinimalTripletConnection ( SpikingGroup source,
NeuronGroup destination,
TransmitterType  transmitter = GLUT 
)
82  : DuplexConnection(source, destination, transmitter)
83 {
84 }
DuplexConnection(const char *filename)
Definition: DuplexConnection.cpp:53

◆ MinimalTripletConnection() [2/3]

MinimalTripletConnection::MinimalTripletConnection ( SpikingGroup source,
NeuronGroup destination,
const char *  filename,
AurynFloat  eta = 1,
AurynFloat  maxweight = 1.,
TransmitterType  transmitter = GLUT 
)

Deprecated constructor.

91 : DuplexConnection(source,
92  destination,
93  filename,
94  transmitter)
95 {
96  init(eta, maxweight);
97  init_shortcuts();
98 }
DuplexConnection(const char *filename)
Definition: DuplexConnection.cpp:53

◆ MinimalTripletConnection() [3/3]

MinimalTripletConnection::MinimalTripletConnection ( SpikingGroup source,
NeuronGroup destination,
AurynWeight  weight,
AurynFloat  sparseness = 0.05,
AurynFloat  eta = 1.0,
AurynFloat  maxweight = 1.0,
TransmitterType  transmitter = GLUT,
string  name = "MinimalTripletConnection" 
)

Default constructor. Sets up a random sparse connection and plasticity parameters

Parameters
sourcethe presynaptic neurons.
destinatinothe postsynaptic neurons.
weightthe initial synaptic weight.
sparsenessthe sparseness of the connection (probability of connection).
etathe relaive learning rate (default=1).
transmitterthe TransmitterType (default is GLUT, glutamatergic).
namea sensible identifier for the connection used in debug output.
109 : DuplexConnection(source,
110  destination,
111  weight,
112  sparseness,
113  transmitter,
114  name)
115 {
116  init(eta, maxweight);
117  if ( name.empty() )
118  set_name("MinimalTripletConnection");
119  init_shortcuts();
120 }
DuplexConnection(const char *filename)
Definition: DuplexConnection.cpp:53
void set_name(std::string name)
Set name of connection.
Definition: Connection.cpp:82
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◆ ~MinimalTripletConnection()

MinimalTripletConnection::~MinimalTripletConnection ( )
virtual
123 {
124  if ( dst->get_post_size() > 0 )
125  free();
126 }
NeuronGroup * dst
Pointer to the destination group of this connection.
Definition: Connection.h:111
NeuronID get_post_size()
Returns the size on this rank.
Definition: SpikingGroup.cpp:314
void free()
Definition: MinimalTripletConnection.cpp:78
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Member Function Documentation

◆ dw_post()

AurynWeight MinimalTripletConnection::dw_post ( NeuronID  pre,
NeuronID  post 
)
protected

Action on weight upon postsynaptic spike of cell post on connection with presynaptic partner pre. This function should be modified to define new spike based plasticity rules.

Parameters
prethe presynaptic cell in question.
postthe postsynaptic cell in question.

This function implements what happens to synapes experiencing a backpropagating action potential from neuron 'pre'.

141 {
142  // at this point post was already translated to a local id in
143  // the propagate_backward function below.
144  AurynDouble dw = (A2_plus+A3_plus*tr_post2->get(post))*tr_pre->get(pre);
145  return dw;
146 }
AurynFloat A3_plus
Definition: MinimalTripletConnection.h:103
double AurynDouble
Higher precision floating point datatype.
Definition: auryn_definitions.h:158
DEFAULT_TRACE_MODEL * tr_post2
Definition: MinimalTripletConnection.h:81
PRE_TRACE_MODEL * tr_pre
Definition: MinimalTripletConnection.h:77
AurynFloat A2_plus
Definition: MinimalTripletConnection.h:105

◆ dw_pre()

AurynWeight MinimalTripletConnection::dw_pre ( NeuronID  post)
protected

Action on weight upon presynaptic spike on connection with postsynaptic partner post. This function should be modified to define new spike based plasticity rules.

Parameters
postthe postsynaptic cell from which the synaptic trace is read out

This function implements what happens to synapes transmitting a spike to neuron 'post'.

131 {
132  // translate post id to local id on rank: translated_spike
133  NeuronID translated_spike = dst->global2rank(post);
134  AurynDouble dw = -A2_minus*(tr_post->get(translated_spike));
135  return dw;
136 }
NeuronID global2rank(NeuronID i)
Converts global NeuronID within the SpikingGroup to the local NeuronID on this rank.
Definition: SpikingGroup.h:446
double AurynDouble
Higher precision floating point datatype.
Definition: auryn_definitions.h:158
NeuronGroup * dst
Pointer to the destination group of this connection.
Definition: Connection.h:111
AurynFloat A2_minus
Definition: MinimalTripletConnection.h:104
DEFAULT_TRACE_MODEL * tr_post
Definition: MinimalTripletConnection.h:80
unsigned int NeuronID
NeuronID is an unsigned integeger type used to index neurons in Auryn.
Definition: auryn_definitions.h:151
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◆ evolve()

void MinimalTripletConnection::evolve ( )
virtual

Evolve method to update internal connection state. Called by System run method.

Reimplemented from auryn::Connection.

214 {
215 }

◆ finalize()

void MinimalTripletConnection::finalize ( )
virtual

Finalizes connection after random or manual initialization of the weights.

Essentially pads zeros or non-existing elements at the end of ComplexMatrix. Called interally or after manually filling matrices.

Reimplemented from auryn::DuplexConnection.

73  {
75  init_shortcuts();
76 }
virtual void finalize()
Finalizes connection after random or manual initialization of the weights.
Definition: DuplexConnection.cpp:43
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◆ free()

void MinimalTripletConnection::free ( )
79 {
80 }

◆ propagate()

void MinimalTripletConnection::propagate ( )
virtual

Internally used propagate method.

This method propagates spikes in the main simulation loop. Should usually not be called directly by the user.

Reimplemented from auryn::SparseConnection.

208 {
211 }
void propagate_forward()
Definition: MinimalTripletConnection.cpp:149
void propagate_backward()
Definition: MinimalTripletConnection.cpp:176
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◆ propagate_backward()

void MinimalTripletConnection::propagate_backward ( )
protected
177 {
178  if (stdp_active) {
179  SpikeContainer::const_iterator spikes_end = dst->get_spikes_immediate()->end();
180  // loop over all spikes
181  for (SpikeContainer::const_iterator spike = dst->get_spikes_immediate()->begin() ; // spike = post_spike
182  spike != spikes_end ;
183  ++spike ) {
184  // Since we need the local id of the postsynaptic neuron that spiked
185  // multiple times, we translate it here:
186  NeuronID translated_spike = dst->global2rank(*spike);
187 
188  // loop over all presynaptic partners
189  for (const NeuronID * c = bkw->get_row_begin(*spike) ; c != bkw->get_row_end(*spike) ; ++c ) {
190 
191  #if defined(CODE_ACTIVATE_PREFETCHING_INTRINSICS) && defined(CODE_USE_SIMD_INSTRUCTIONS_EXPLICITLY)
192  // prefetches next memory cells to reduce number of last-level cache misses
193  _mm_prefetch((const char *)bkw_data[c-bkw_ind+2], _MM_HINT_NTA);
194  #endif
195 
196  // computes plasticity update
197  AurynWeight * weight = bkw->get_data(c);
198  *weight += dw_post(*c,translated_spike);
199 
200  // clips too large weights
201  if (*weight>get_max_weight()) *weight=get_max_weight();
202  }
203  }
204  }
205 }
AurynWeight get_max_weight()
Gets maximum weight (for plastic connections).
Definition: SparseConnection.h:420
AurynWeight ** bkw_data
Definition: MinimalTripletConnection.h:73
NeuronID * bkw_ind
Definition: MinimalTripletConnection.h:72
NeuronID global2rank(NeuronID i)
Converts global NeuronID within the SpikingGroup to the local NeuronID on this rank.
Definition: SpikingGroup.h:446
AurynFloat AurynWeight
Unit of synaptic weights.
Definition: auryn_definitions.h:159
BackwardMatrix * bkw
Definition: DuplexConnection.h:64
NeuronID * get_row_end(NeuronID i)
Definition: SimpleMatrix.h:598
NeuronGroup * dst
Pointer to the destination group of this connection.
Definition: Connection.h:111
T get_data(const AurynLong i)
Definition: SimpleMatrix.h:214
SpikeContainer * get_spikes_immediate()
Returns pointer to SpikeContainer of spikes generated during the last evolve() step.
Definition: SpikingGroup.cpp:250
AurynWeight dw_post(NeuronID pre, NeuronID post)
Definition: MinimalTripletConnection.cpp:140
bool stdp_active
Definition: MinimalTripletConnection.h:109
NeuronID * get_row_begin(NeuronID i)
Definition: SimpleMatrix.h:586
unsigned int NeuronID
NeuronID is an unsigned integeger type used to index neurons in Auryn.
Definition: auryn_definitions.h:151
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◆ propagate_forward()

void MinimalTripletConnection::propagate_forward ( )
protected
150 {
151  // loop over all spikes
152  for (SpikeContainer::const_iterator spike = src->get_spikes()->begin() ; // spike = pre_spike
153  spike != src->get_spikes()->end() ; ++spike ) {
154  // loop over all postsynaptic partners
155  for (const NeuronID * c = w->get_row_begin(*spike) ;
156  c != w->get_row_end(*spike) ;
157  ++c ) { // c = post index
158 
159  // transmit signal to target at postsynaptic neuron
160  AurynWeight * weight = w->get_data_ptr(c);
161  transmit( *c , *weight );
162 
163  // handle plasticity
164  if ( stdp_active ) {
165  // performs weight update
166  *weight += dw_pre(*c);
167 
168  // clips too small weights
169  if ( *weight < get_min_weight() )
170  *weight = get_min_weight();
171  }
172  }
173  }
174 }
void transmit(const NeuronID id, const AurynWeight amount)
Default way to transmit a spike to a postsynaptic partner.
Definition: Connection.h:294
NeuronID * get_row_end(NeuronID i)
Definition: ComplexMatrix.h:952
ForwardMatrix * w
A pointer that points per default to the ComplexMatrix that stores the connectinos.
Definition: SparseConnection.h:147
SpikeContainer * get_spikes()
Returns pointer to a spike container that contains spikes which arrive in this timestep from all neur...
Definition: SpikingGroup.cpp:245
AurynFloat AurynWeight
Unit of synaptic weights.
Definition: auryn_definitions.h:159
SpikingGroup * src
Pointer to the source group of this connection.
Definition: Connection.h:108
NeuronID * get_row_begin(NeuronID i)
Definition: ComplexMatrix.h:940
AurynWeight get_min_weight()
Gets minimum weight (for plastic connections).
Definition: SparseConnection.h:412
AurynWeight dw_pre(NeuronID post)
Definition: MinimalTripletConnection.cpp:130
bool stdp_active
Definition: MinimalTripletConnection.h:109
T * get_data_ptr(const AurynLong data_index, const StateID z=0)
Gets the matching data ptr for a given index i and state z.
Definition: ComplexMatrix.h:402
unsigned int NeuronID
NeuronID is an unsigned integeger type used to index neurons in Auryn.
Definition: auryn_definitions.h:151
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◆ sort_spikes()

void auryn::MinimalTripletConnection::sort_spikes ( )
protected

Member Data Documentation

◆ A2_minus

AurynFloat auryn::MinimalTripletConnection::A2_minus

◆ A2_plus

AurynFloat auryn::MinimalTripletConnection::A2_plus

◆ A3_plus

AurynFloat auryn::MinimalTripletConnection::A3_plus

◆ bkw_data

AurynWeight** auryn::MinimalTripletConnection::bkw_data
protected

◆ bkw_ind

NeuronID* auryn::MinimalTripletConnection::bkw_ind
protected

◆ fwd_data

AurynWeight* auryn::MinimalTripletConnection::fwd_data
protected

◆ fwd_ind

NeuronID* auryn::MinimalTripletConnection::fwd_ind
protected

◆ stdp_active

bool auryn::MinimalTripletConnection::stdp_active

Toggle stdp active/inactive. When inactive traces are still updated, but weights are not.

◆ tau_long

AurynFloat auryn::MinimalTripletConnection::tau_long
protected

◆ tau_minus

AurynFloat auryn::MinimalTripletConnection::tau_minus
protected

◆ tau_plus

AurynFloat auryn::MinimalTripletConnection::tau_plus
protected

◆ tr_post

DEFAULT_TRACE_MODEL* auryn::MinimalTripletConnection::tr_post
protected

◆ tr_post2

DEFAULT_TRACE_MODEL* auryn::MinimalTripletConnection::tr_post2
protected

◆ tr_pre

PRE_TRACE_MODEL* auryn::MinimalTripletConnection::tr_pre
protected

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