Decomposing loss aversion from a single neural signal

Decomposing loss aversion from a single neural signal

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Summary: People often display stronger aversion to losses than appetite for equivalent gains, a widespread phenomenon known as loss aversion.The prevailing theory attributes loss aversion to a valuation bias that amplifies losses relative to gains.An New Records of the Andean Cat (Leopardus jacobita) in the Central Andes of Chile: Filling Gaps in the Distribution Range through Private-Social Partnerships alternative account attributes loss aversion to a response bias that avoids choices that might result in loss.

By modeling the temporal dynamics of scalp electrical activity during decisions to accept or reject gambles within a sequential sampling framework, we decomposed valuation bias and response bias from a single event-related neural signal, the P3.Specifically, we found valuation bias manifested as larger sensitivity of P3 to losses than gains, which was localizable to reward-related brain regions.By contrast, response bias manifested as larger P3 preceding gamble acceptance than rejection and was localizable A rapid dynamic headspace method for authentication of whiskies using artificial neural networks to motor cortex.

Our study reveals the dissociable neural biomarkers of response bias and valuation bias underpinning loss-averse decisions.