A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Midbrain dopamine neurons compute inferred and cached value prediction errors in a common framework
2016
eLife
Midbrain dopamine neurons have been proposed to signal reward prediction errors as defined in temporal difference (TD) learning algorithms. While these models have been extremely powerful in interpreting dopamine activity, they typically do not use value derived through inference in computing errors. This is important because much real world behavior – and thus many opportunities for error-driven learning – is based on such predictions. Here, we show that error-signaling rat dopamine neurons
doi:10.7554/elife.13665
pmid:26949249
pmcid:PMC4805544
fatcat:rfgwufwglnee7gbjepbfymlg34