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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