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贝叶斯情境恐惧条件反射模型(BaconX)中的灭绝和歧视。

Extinction and discrimination in a Bayesian model of context fear conditioning (BaconX).

机构信息

Department of Psychology and Brain Research Institute, University of California, Los Angeles, Los Angeles, California, USA.

Centre for Neuroscience and Regenerative Medicine, Faculty of Science, University of Technology Sydney, Sydney, New South Wales, Australia.

出版信息

Hippocampus. 2021 Jul;31(7):790-814. doi: 10.1002/hipo.23298. Epub 2021 Jan 16.

Abstract

The extinction of contextual fear is commonly an essential requirement for successful exposure therapy for fear disorders. However, experimental work on extinction of contextual fear is limited, and there little or no directly relevant theoretical work. Here, we extend BACON, a neurocomputational model of context fear conditioning that provides plausible explanations for a number of aspects of context fear conditioning, to deal with extinction (calling the model BaconX). In this model, contextual representations are formed in the hippocampus and association of fear to them occurs in the amygdala. Representation creation, conditionability, and development of between-session extinction are controlled by degree of confidence (assessed by the Bayesian weight of evidence) that an active contextual representation is in fact that of the current context (i.e., is "valid"). The model predicts that: (1) extinction which persists between sessions will occur only if at a sessions end there is high confidence that the active representation is valid. It follows that the shorter the context placement-to-US (shock) interval ("PSI") and the less is therefore learned about context, the longer extinction sessions must be for enduring extinction to occur, while too short PSIs will preclude successful extinction. (2) Short-PSI deficits can be rescued by contextual exposure even after conditioning has occurred. (3) Learning to discriminate well between a conditioned and similar safe context requires representations of each to form, which may not occur if PSI was too short. (4) Extinction-causing inhibition must be applied downstream of the conditioning locus for reasonable generalization properties to be generated. (5) Context change tends to cause return of extinguished contextual fear. (6). Extinction carried out in the conditioning context generalizes better than extinction executed in contexts to which fear has generalized (as done in exposure therapy). (7) BaconX suggests novel approaches to exposure therapy.

摘要

情境恐惧的消除通常是恐惧障碍暴露疗法成功的必要条件。然而,情境恐惧的实验研究工作有限,并且几乎没有直接相关的理论工作。在这里,我们扩展了 BACON,这是一个神经计算模型,用于情境恐惧条件作用,为情境恐惧条件作用的许多方面提供了合理的解释,以处理消退(称该模型为 BaconX)。在这个模型中,情境表示是在海马体中形成的,而恐惧与它们的关联则发生在杏仁核中。表示的创建、可条件性和会话间消退的发展由对当前情境的活跃情境表示实际上是有效的(即“有效”)的置信度(由贝叶斯证据权重评估)来控制。该模型预测:(1)只有在会话结束时高度确信活跃的表示实际上是当前情境的表示,才会发生持久的会话间消退。因此,上下文放置到 US(电击)的间隔(PSI)越短,因此对上下文的了解越少,就必须进行更长的消退会话才能发生持久的消退,而太短的 PSI 将排除成功的消退。(2)即使在条件作用发生之后,通过上下文暴露也可以挽救短 PSI 缺陷。(3)要很好地学习区分条件和相似的安全上下文,需要形成每个上下文的表示,如果 PSI 太短,则可能不会形成。(4)用于生成合理的泛化属性的抑制作用必须在条件作用位置的下游应用。(5)上下文变化往往会导致已消除的情境恐惧的回归。(6).在条件作用环境中进行的消退比在恐惧已经泛化的环境中进行的消退更好地泛化(如在暴露疗法中所做的那样)。(7)BaconX 为暴露疗法提供了新的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/835e/8359206/e2daa3a4f97d/HIPO-31-790-g012.jpg

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