cymr.network.Network.generate_recall#

Network.generate_recall(segment, sublayers, B, T, p_stop, amin=1e-06, filter_recalls=False, A1=None, A2=None)#

Generate a sequence of simulated free recall events.

Parameters:

  • segment (tuple of str, str) – Sublayer and segment to retrieve items from.

  • sublayers (str or list of str) – Sublayer(s) of context to update.

  • B (float or numpy.ndarray) – Context updating rate after each recall.

  • T (float) – Decision parameter for choice rule.

  • p_stop (numpy.array) – Probability of stopping at each output position.

  • amin (float, optional) – Minimum activation of each not-yet-recalled item on each recall attempt.

  • filter_recalls (bool, optional) – If true, potential recalls will be filtered based on match to context.

  • A1 (float, optional) – Intercept mapping context match to an expit to determine recovery probability.

  • A2 (float, optional) – Slope mapping match to an expit.

Returns:

recalls – Indices of items recalled at each output position.

Return type:

list of int