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Cross-sensory inhibition or unisensory facilitation: A potential neural architecture of modality switch effects

机译:交叉感应抑制或单义促进:模态切换效应的潜在神经结构

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In a simple reaction time task in which auditory and visual stimuli are presented in random sequence alone (A or V) or together (AV), there is a so-called reaction time (RT) cost on trials in which sensory modality switches (A -> V) compared to when it repeats (A -> A). This is always true for unisensory trials, whereas RTs to AV stimuli preceded by unisensory stimuli are statistically comparable with the Repeat condition (AV -> AV). Neural facilitation for Repeat trials or neural inhibition for Switch trials could both account for these effects. Here we used a neural network model (Multisensory Integration with Crossed Inhibitory Dynamics (MICID) model) to test the ability of these two distinct mechanisms, inhibition and facilitation, to produce the specific patterns of behavior that we see experimentally, modeling switch and repeat trials as well as the influence of the interval between the present and the previous trial. The model results are consistent with an inhibitory account in which there is competition between the different sensory modalities, instead of a facilitation account in which the preceding stimulus sensitizes the neural system to its particular sensory modality. Moreover, the model shows that multisensory integration can explain the results in case of multisensory stimuli, where the preceding stimulus has little effect. This is due to faster dynamics for multisensory facilitation compared to cross-sensory inhibition. These findings link the cognitive framework delineated by the empirical results to a plausible neural implementation. (C) 2020 Elsevier Inc. All rights reserved.
机译:在一个简单的反应时任务中,听觉和视觉刺激以随机顺序单独(a或V)或同时(AV)呈现,与重复(a->a)相比,在感觉模态切换(a->V)的试验中,存在所谓的反应时(RT)成本。对于单感官试验而言,这始终是正确的,而在单感官刺激之前的RTs到AV刺激在统计学上与重复条件(AV->AV)相当。重复试验的神经促进或开关试验的神经抑制都可以解释这些效应。在这里,我们使用了一个神经网络模型(多传感器集成交叉抑制动力学(MICID)模型)来测试这两种不同机制的能力,抑制和易化,以产生我们在实验中看到的特定行为模式,模拟切换和重复试验,以及当前和之前试验之间间隔的影响。该模型的结果与不同感觉模式之间存在竞争的抑制性解释相一致,而不是先前刺激使神经系统对其特定感觉模式敏感的促进性解释。此外,该模型表明,在多传感器刺激的情况下,多传感器整合可以解释结果,而之前的刺激几乎没有影响。这是因为与交叉感觉抑制相比,多感觉促进的动力学更快。这些发现将经验结果所描绘的认知框架与看似合理的神经实现联系起来。(C) 2020爱思唯尔公司版权所有。

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