Yuri Imaizumi’s research while affiliated with University of Tsukuba and other places

... These neural properties might be related to the larger changes in carried information as a function of firing rates and dynamic range ( Figure 4B, compare FSNs and RSN regression slopes, Figure 4C, red). As a result, the output neurons in cortical (9, 10, 12, 13) and subcortical (40)(41)(42)(43) structures becomes active via feedforward inhibition ( Figure 4A) during economic behavior. ...

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Fast-spiking neurons in monkey orbitofrontal cortex underlie economic value computation

... Indeed, cortical inhibitory dysfunction results in various diseases including mental disorders (6,7). Since excitatory neurons constitute the majority of neurons at the core cortical center, the orbitofrontal cortex (OFC), they have been well examined in relation to economic behavior to obtain rewards (8)(9)(10)(11)(12)(13)(14). ...

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Fast-spiking neurons in monkey orbitofrontal cortex underlie economic value computation

... However, as captured in expected utility theory, decisionmakers are usually not indifferent; they have risk preferences. Tversky and Kahneman (1981) introduced these kinds of problems to illustrate critical tests of divergent predictions of expected utility theory versus prospect theory, still both widely used theories today (e.g., Barberis, 2013;Tymula et al., 2023). Prospect theory predicted gain-loss differences in risk preference, which was thought to rule out expected utility theory in its classic form. ...

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High in Numeracy, High in Reflection, but Still Irrationally Biased: How Gist Explains Risky Choices

... In general, we examine the outcome of our choice and adjust subsequent choice behavior using the outcome information to choose an appropriate action. Five significant studies on neurons (Kawai et al. (2015); Yamada et al. (2021); Imaizumi et al. (2022); Yang et al. (2022); Ferrari-Toniolo and Schultz (2023)) have examined neuronal responses to loss and gain. These studies suggest that two different neural systems may respond to loss and gain, resulting in a value function with a cusp as a reference point. ...

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New concept for the value function of prospect theory

... In a previous study using a choice task, we showed that amygdala neurons do encode subjective values that reflected integrated reward probability and magnitude when these reward attributes were cued simultaneously 12 . Perhaps neurons in the prefrontal cortex, including the orbitofrontal cortex, and parietal cortex might be relatively more important in signaling to accumulate decision variables derived from sequential or otherwise complex cues 28,[63][64][65][66] . Some previous studies found largely similar coding of values and choices in the amygdala and orbitofrontal cortex 13,67 , while others emphasized differences in the time courses with which neurons in these structures track changing values 53,68 , and in the specificity with which single neurons encode complex, multisensory food rewards 69 . ...

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Dynamic coding and sequential integration of multiple reward attributes by primate amygdala neurons