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Dynamic Computation of Incentive Salience: Wanting What Was Never Liked

机译:激励显着性的动态计算:想要从未被喜欢的东西

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摘要

Pavlovian cues for rewards become endowed with incentive salience, guiding “wanting” to their learned reward. Usually, cues are “wanted” only if their rewards have ever been “liked,” but here we show that mesocorticolimbic systems can recompute “wanting” de novo by integrating novel physiological signals with a cue's preexisting associations to an outcome that lacked hedonic value. That is, a cue's incentive salience can be recomputed adaptively. We demonstrate that this recomputation is encoded in neural signals coursing through the ventral pallidum. Ventral pallidum neurons do not ordinarily fire vigorously to a cue that predicts the previously “disliked” taste of intense salt, although they do fire to a cue that predicts the taste of previously “liked” sucrose. Yet we show that neural firing rises dramatically to the salt cue immediately and selectively when that cue is encountered in a never-before-experienced state of physiological salt depletion. Crucially, robust neural firing to the salt cue occurred the first time it was encountered in the new depletion state (in cue-only extinction trials), even before its associated intense saltiness has ever been tasted as positively “liked” (salt taste had always been “disliked” before). The amplification of incentive salience did not require additional learning about the cue or the newly positive salt taste. Thus dynamic recomputation of cue-triggered “wanting” signals can occur in real time at the moment of cue re-encounter by combining previously learned Pavlovian associations with novel physiological information about a current state of specific appetite.
机译:巴甫洛夫对奖励的暗示变得具有激励显着性,引导“想要”获得所学奖励。通常,提示只有在其奖励曾经被“喜欢”时才会“想要”,但是在这里我们表明,中皮层皮质系统可以通过将新的生理信号与提示的预先存在的关联整合到缺少享乐价值的结果中来重新计算“想要”。即,可以自适应地重新计算提示的激励显着性。我们证明这种重新编码编码在通过腹侧苍白质的神经信号中。苍白球腹侧神经元通常不会剧烈发火,从而预示了以前“不喜欢”的浓盐味,尽管它们确实发了火,但是预示了先前“喜欢”的蔗糖味。然而,我们表明,在从未经历过的生理性食盐消耗状态下,神经激发立即并选择性地急剧上升到盐指示。至关重要的是,甚至在其相关的强烈咸味被品尝为“喜好”(盐味总是之前“不喜欢”)。激励显着性的增强不需要额外的提示或新的正盐味的学习。因此,通过将先前学习的巴甫洛夫关联与有关特定食欲当前状态的新颖生理信息相结合,可以在提示重新遇到时实时进行提示触发的“想要的”信号的动态重新计算。

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