Stability of the selectivity of dopamine neurons for different reward types.

<p>Here, the same analysis as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012580#pcbi.1012580.g004" target="_blank">Fig 4C</a> is conducted, i.e., the regression model “value + identity: value” is fitted to the data, but this i...

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Bibliographic Details
Main Author:	Beren Millidge (11524078) (author)
Other Authors:	Yuhang Song (11520512) (author), Armin Lak (2558224) (author), Mark E. Walton (8893274) (author), Rafal Bogacz (307953) (author)
Published:	2024
Subjects:	Neuroscience Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> animals subjective economic value stimuli predicting fluids small dataset obtained basal ganglia network animals &# 8217 simple neural circuit learned values according individual dopamine neurons dopamine neurons encode different reward dimensions dopamine neurons reward according different dimensions reward dimensions neurons respond learn values simple multi simple mechanism different types reward bases multiple dimensions striatal system single primate results demonstrate published study preliminary test possible implementation physiological state instant generalisation flexibly adapted errors associated dopamine responses current needs also proposed adaptive acquisition
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Stability of the selectivity of dopamine neurons for different reward types.

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