neurodynex.spike_train_variability package¶
Submodules¶
neurodynex.spike_train_variability.spike_train_variability module¶
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neurodynex.spike_train_variability.spike_train_variability.
Binomial_SampleGenerator
(ro, delta_t)[source]¶
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neurodynex.spike_train_variability.spike_train_variability.
ExpDist_SampleGenerator
(cdf_values, d_t)[source]¶
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neurodynex.spike_train_variability.spike_train_variability.
forward_sampling
(ro=30, delta_t=0.001, n_spikes=100000, n_bins=30, show_plt=True)[source]¶ {ro: firing rate, hazard function in HZ delta_t:time steps in s n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram }
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neurodynex.spike_train_variability.spike_train_variability.
forward_sampling_with_refractoriness
(ro=30, delta_abs=0.02, delta_t=0.001, n_spikes=100000, n_bins=30, show_plt=True)[source]¶ {ro: firing rate, hazard function in HZ delta_abs: absolute refractory period in s delta_t:time steps in s n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram }
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neurodynex.spike_train_variability.spike_train_variability.
inverse_transform_sampling
(ro=30, d_t=0.001, n_spikes=10000, n_bins=30, show_plt=True)[source]¶ {ro: firing rate, hazard function in HZ d_t: n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram }
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neurodynex.spike_train_variability.spike_train_variability.
inverse_transform_sampling_with_refractoriness
(ro=30, delta_abs=0.02, d_t=0.001, n_spikes=100000, n_bins=30, show_plt=True)[source]¶ {ro: firing rate, hazard function in HZ delta_abs: absolute refractory period in s d_t:time step used for sampling from CDF of exponential distribution in s n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram }
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neurodynex.spike_train_variability.spike_train_variability.
plots
(ro, delta_t, d_t, d_t_pdf, n_spikes, n_bins, t=0.3)[source]¶ {ro: firing rate, hazard function in HZ delta_t:time step for forward sampling in s d_t: time step used for sampling from CDF of exponential distribution in s d_t_pdf: time step used for sampling from PDF of exponential distribution in s n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram t: time period during which exponential distribution is plotted, in s }
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neurodynex.spike_train_variability.spike_train_variability.
plots_with_refractoriness
(ro, delta_abs, delta_t, d_t, d_t_pdf, n_spikes, n_bins, t=0.3)[source]¶ {ro: firing rate, hazard function in HZ delta_abs: absolute refractory period in s delta_t:time step for forward sampling in s d_t: time step used for sampling from CDF of exponential distribution in s d_t_pdf: time step used for sampling from PDF of exponential distribution in s n_spikes:number of spikes to be generates n_bins: number of bins for plotting the histogram t: time period during which analytical distribution is plotted, in s }