Flexible combination of reward information across primates
| Autor: | Shiva Farashahi, Daeyeol Lee, Christopher H. Donahue, Benjamin Y. Hayden, Alireza Soltani |
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| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Social Psychology Extramural Computer science Experimental and Cognitive Psychology Weighting Comprehension Dorsolateral prefrontal cortex 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine medicine.anatomical_structure Econometrics medicine Neuroeconomics Volatility (finance) 030217 neurology & neurosurgery 030304 developmental biology Valuation (finance) |
| Zdroj: | Nature Human Behaviour. 3:1215-1224 |
| ISSN: | 2397-3374 |
| Popis: | A fundamental but rarely contested assumption in economics and neuroeconomics is that decision-makers compute subjective values of risky options by multiplying functions of reward probability and magnitude. By contrast, an additive strategy for valuation allows flexible combination of reward information required in uncertain or changing environments. We hypothesized that the level of uncertainty in the reward environment should determine the strategy used for valuation and choice. To test this hypothesis, we examined choice between risky options in humans and rhesus macaques across three tasks with different levels of uncertainty. We found that whereas humans and monkeys adopted a multiplicative strategy under risk when probabilities are known, both species spontaneously adopted an additive strategy under uncertainty when probabilities must be learned. Additionally, the level of volatility influenced relative weighting of certain and uncertain reward information, and this was reflected in the encoding of reward magnitude by neurons in the dorsolateral prefrontal cortex. |
| Databáze: | OpenAIRE |
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