2013年10月8日火曜日

Risk Prediction Error Coding in Orbitofrontal Neurons.

Martin O'Neill and Wolfram Schultz
J. Neurosci. 2013;33 15810-15814

サル電気生理。
眼窩前島皮質のニューロンは「リスク(報酬の分散)に関する予測誤差」をコードしている。
リスク予測誤差の研究は「被験者が本当にリスクを学習している」ことを示す行動データが貧弱なのが痛い…

Risk is a ubiquitous feature of life. It plays an important role in economic decisions by affecting subjective reward value. Informed decisions require accurate risk information for each choice option. However, risk is often not constant but changes dynamically in the environment. Therefore, risk information should be updated to the current risk level. Potential mechanisms involve error-driven updating, whereby differences between current and predicted risk levels (risk prediction errors) are used to obtain currently accurate risk predictions. As a major reward structure, the orbitofrontal cortex is involved in coding key reward parameters such as reward value and risk. In this study, monkeys viewed different visual stimuli indicating specific levels of risk that deviated from the overall risk predicted by a common earlier stimulus. A group of orbitofrontal neurons displayed a risk signal that tracked the discrepancy between current and predicted risk. Such neuronal signals may be involved in the updating of risk information.

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