ANNarchy 5.0.0
  • ANNarchy
  • Installation
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  • ANNarchy
  • Core components
    • Network
    • Population
    • Projection
    • Monitor
    • PopulationView
    • Dendrite
  • Neuron and Synapse models
    • Neuron
    • Synapse
    • Parameter
    • Variable
    • Creating
    • Pruning
    • Constant
  • Neuron models
    • LeakyIntegrator
    • Izhikevich
    • IF_curr_exp
    • IF_cond_exp
    • IF_curr_alpha
    • IF_cond_alpha
    • HH_cond_exp
    • EIF_cond_alpha_isfa_ista
    • EIF_cond_exp_isfa_ista
  • Synapse models
    • Hebb
    • Oja
    • IBCM
    • STP
    • STDP
  • Inputs
    • InputArray
    • TimedArray
    • PoissonPopulation
    • TimedPoissonPopulation
    • SpikeSourceArray
    • HomogeneousCorrelatedSpikeTrains
    • CurrentInjection
    • DecodingProjection
    • ImagePopulation
    • VideoPopulation
  • Random Distributions
    • Uniform
    • DiscreteUniform
    • Normal
    • LogNormal
    • Exponential
    • Gamma
    • Binomial
  • Functions
    • add_function
    • functions
  • Callbacks
    • every
  • Utilities
    • report
    • timeit
    • sparse_random_matrix
    • sparse_delays_from_weights
    • magic_network
  • Convolution
    • Convolution
    • Pooling
    • Transpose
    • Copy
  • BOLD monitoring
    • BoldMonitor
    • BoldModel
    • balloon_RN
    • balloon_RL
    • balloon_CN
    • balloon_CL
    • balloon_maith2021
    • balloon_two_inputs
  • Tensorboard logging
    • Logger
  • ANN-to-SNN conversion
    • ANNtoSNNConverter
  • DEPRECATED Top-level API
    • setup
    • compile
    • clear
    • reset
    • set_seed
    • get_population
    • get_projection
    • populations
    • projections
    • monitors
    • simulate
    • simulate_until
    • step
    • enable_learning
    • disable_learning
    • get_time
    • set_time
    • get_current_step
    • set_current_step
    • dt
    • save
    • load
    • save_parameters
    • load_parameters
    • callbacks_enabled
    • disable_callbacks
    • enable_callbacks
    • clear_all_callbacks

On this page

  • Creating
    • Parameters

Creating

Creating(self, equation, proba=1.0, w=0.0, d=None)

Dataclass to represent a creation condition for structural plasticity.

When the condition is true, a synapse is created with the specified probability, using the weight w and delay d.

CreatingSynapse = ann.Synapse(

    parameters = dict(eta = 0.1, T = 1.0),

    equations = ann.Variable("dw/dt = eta * pre.r * post.r"),
    
    creating = ann.Creating("pre.r * post.r > T", proba = 0.1, w = 0.01),
)

Parameters

Name Type Description Default
equation str string representing the equation. required
proba float probability of creation of the synapse. 1.0
w float weight when the synapse is created. 0.0
d float delay when the synapse is created. None
Variable
Pruning
 

Copyright Julien Vitay, Helge Ülo Dinkelbach, Fred Hamker