The error in total error reduction.

Abstract:

:Most models of human and animal learning assume that learning is proportional to the discrepancy between a delivered outcome and the outcome predicted by all cues present during that trial (i.e., total error across a stimulus compound). This total error reduction (TER) view has been implemented in connectionist and artificial neural network models to describe the conditions under which weights between units change. Electrophysiological work has revealed that the activity of dopamine neurons is correlated with the total error signal in models of reward learning. Similar neural mechanisms presumably support fear conditioning, human contingency learning, and other types of learning. Using a computational modeling approach, we compared several TER models of associative learning to an alternative model that rejects the TER assumption in favor of local error reduction (LER), which assumes that learning about each cue is proportional to the discrepancy between the delivered outcome and the outcome predicted by that specific cue on that trial. The LER model provided a better fit to the reviewed data than the TER models. Given the superiority of the LER model with the present data sets, acceptance of TER should be tempered.

journal_name

Neurobiol Learn Mem

authors

Witnauer JE,Urcelay GP,Miller RR

doi

10.1016/j.nlm.2013.07.018

subject

Has Abstract

pub_date

2014-02-01 00:00:00

pages

119-35

eissn

1074-7427

issn

1095-9564

pii

S1074-7427(13)00131-7

journal_volume

108

pub_type

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