cymr.network.Network.record_study#
- Network.record_study(segment, item_list, sublayers, B, Lfc, Lcf, include=None, exclude=None)#
Study a list of items and record network states.
- Parameters:
segment (tuple of str, str) – Sublayer and segment of items to present.
item_list (numpy.array) – Item indices relative to the segment.
sublayers (str or list of str) – Sublayers of context to update.
B (float or numpy.array) – Context updating rate. If an array, specifies a rate for each individual study trial.
Lfc (float or numpy.array) – Learning rate for item to context associations. If an array, specifies a learning rate for each individual trial.
Lcf (float or numpy.array) – Learning rate for context to item associations.
include (list of str, optional) – Network attributes to include in the recorded states. Default is to include all attributes.
exclude (list of str, optional) – Network attributes to exclude from the recorded states.
- Returns:
state – Copy of the network state after presentation of each item.
- Return type:
list of cymr.network.Network