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An efficiency framework for valence processing systems inspired by soft cross-wiring

Montague, PR; Kishida, KT; Moran, RJ; Lohrenz, TM; (2016) An efficiency framework for valence processing systems inspired by soft cross-wiring. Current Opinion in Behavioral Sciences , 11 (CM) pp. 121-129. 10.1016/j.cobeha.2016.08.002. Green open access

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Abstract

Recent experiments suggest that subsecond dopamine delivery to human striatum encodes a combination of reward prediction errors and counterfactual errors thus composing the actual with the possible into one neurochemical signal. Here, we present a model where the counterfactual part of these striatal dopamine fluctuations originates in another valuation system that shadows the dopamine system by acting as its near-antipode in terms of spike-rate encoding yet co-releases dopamine alongside its own native neurotransmitter. We show that such a hypothesis engenders important representational consequences where valence processing appears subject to the efficient encoding considerations common to the visual and auditory systems. This new perspective opens up important computational consequences for understanding how value-predicting information should integrate with sensory processing streams.

Type: Article
Title: An efficiency framework for valence processing systems inspired by soft cross-wiring
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cobeha.2016.08.002
Publisher version: http://dx.doi.org/10.1016/j.cobeha.2016.08.002
Language: English
Additional information: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1532752
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