ANNarchy 4.8.2
  • ANNarchy
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  • Reference
  • Core components
    • Population
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  • Configuration
    • setup
    • compile
    • clear
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    • get_population
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    • populations
    • projections
    • monitors
  • Simulation
    • simulate
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    • step
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    • enable_learning
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    • get_time
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    • dt
  • Neuron models
    • LeakyIntegrator
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    • 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
    • STP
    • STDP
    • Hebb
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  • Inputs
    • InputArray
    • TimedArray
    • PoissonPopulation
    • TimedPoissonPopulation
    • SpikeSourceArray
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    • CurrentInjection
    • DecodingProjection
    • ImagePopulation
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  • IO
    • save
    • load
    • save_parameters
    • load_parameters
  • Utilities
    • report
  • Random Distributions
    • Uniform
    • DiscreteUniform
    • Normal
    • LogNormal
    • Exponential
    • Gamma
    • Binomial
  • Functions and Constants
    • add_function
    • functions
    • Constant
    • get_constant
  • Plotting
    • raster_plot
    • histogram
    • inter_spike_interval
    • coefficient_of_variation
    • population_rate
    • smoothed_rate
  • Callbacks
    • every
    • callbacks_enabled
    • disable_callbacks
    • enable_callbacks
    • clear_all_callbacks
  • 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

On this page

  • Gamma
    • Parameters
    • Methods
      • get_values

Gamma

core.Random.Gamma(self, alpha, beta=1.0, min=None, max=None, seed=None)

Gamma distribution.

Parameters

Name Type Description Default
alpha float Shape of the gamma distribution. required
beta float Scale of the gamma distribution. 1.0
min float Minimum value returned (default: unlimited). None
max float Maximum value returned (default: unlimited). None
seed int (optional) seed for the random generator. If left None, the value set in ann.setup() is used. None

Methods

Name Description
get_values Returns a Numpy array with the given shape.

get_values

core.Random.Gamma.get_values(shape)

Returns a Numpy array with the given shape.

Parameters

Name Type Description Default
shape tuple Shape of the array. required

Returns

Name Type Description
np.ndarray Array.
Exponential
Binomial
 

Copyright Julien Vitay, Helge Ülo Dinkelbach, Fred Hamker