run_sim: Run simulations

In passt: Probability Associator Time (PASS-T)

Description

Runs several simulations and returns output activation for each simulation and each input pattern

Usage

run_sim(
  patterns,
  frequency,
  duration,
  lrate_onset,
  lrate_drop_time,
  lrate_drop_perc,
  n_runs = 100,
  n_output_units = ncol(patterns),
  pulses_per_second = 1
)

Arguments

patterns	matrix with input patterns, one row is one pattern
frequency	presentation frequency for each pattern in the matrix
duration	presentation duration for each pattern in the matrix
lrate_onset	learning rate at the onset of a stimulus
lrate_drop_time	point at which the learning rate drops, must be lower than duration
lrate_drop_perc	how much the learning rate drops at lrate_drop_time
n_runs	number of simulations to be run, default is 100
n_output_units	number of output units, defaults to number of input units
pulses_per_second	how many time steps should be simulated per second

Value

list with following elements

• output: the sum of the activation strengths of the output units for each input pattern

• weight_matrix: final weight_matrix

• pres_matrix: presentation matrix

See Also

run_exp

Examples

run_sim(diag(10), 1:10, 10:1, 0.05, 2, 0.2)

passt documentation built on May 3, 2021, 5:06 p.m.