Ontology type: schema:ScholarlyArticle Open Access: True
2015-12
AUTHORSStefano Palminteri, Mehdi Khamassi, Mateus Joffily, Giorgio Coricelli
ABSTRACTCompared with reward seeking, punishment avoidance learning is less clearly understood at both the computational and neurobiological levels. Here we demonstrate, using computational modelling and fMRI in humans, that learning option values in a relative--context-dependent--scale offers a simple computational solution for avoidance learning. The context (or state) value sets the reference point to which an outcome should be compared before updating the option value. Consequently, in contexts with an overall negative expected value, successful punishment avoidance acquires a positive value, thus reinforcing the response. As revealed by post-learning assessment of options values, contextual influences are enhanced when subjects are informed about the result of the forgone alternative (counterfactual information). This is mirrored at the neural level by a shift in negative outcome encoding from the anterior insula to the ventral striatum, suggesting that value contextualization also limits the need to mobilize an opponent punishment learning system. More... »
PAGES8096
http://scigraph.springernature.com/pub.10.1038/ncomms9096
DOIhttp://dx.doi.org/10.1038/ncomms9096
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1032501070
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/26302782
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Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ncomms9096'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ncomms9096'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ncomms9096'
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curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ncomms9096'
This table displays all metadata directly associated to this object as RDF triples.
399 TRIPLES
21 PREDICATES
114 URIs
42 LITERALS
30 BLANK NODES