Matthew R. Roesch, Guillem R. Esber, Jian Li, Nathaniel D. Daw and Geoffrey Schoenbaum Surprise! Neural correlates of Pearce–Hall and Rescorla–Wagner coexist within the brain European Journal of Neuroscience 35
Article first published online: 4 APR 2012 | DOI: 10.1111/j.1460-9568.2011.07986.x
Learning theory and computational accounts suggest that learning depends on errors in outcome prediction as well as changes in processing of or attention to events. These divergent ideas are captured by models, such as Rescorla–Wagner (RW) and temporal difference (TD) learning on the one hand, which emphasize errors as directly driving changes in associative strength, vs. models such as Pearce–Hall (PH) and more recent variants on the other hand, which propose that errors promote changes in associative strength by modulating attention and processing of events.
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