Description Usage Arguments Value See Also Examples
Runs several simulations and returns output activation for each simulation and each input pattern
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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 |
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
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