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Pavlovian influences on learning differ between rats and mice in a counter-balanced Go/NoGo judgement bias task

机译:在平衡的Go / NoGo判断偏见任务中巴甫洛夫对大鼠和小鼠学习的影响有所不同

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摘要

Judgement bias tests of animal affect and hence welfare assume that the animal’s responses to ambiguous stimuli, which may herald positive or negative outcomes, are under instrumental control and reflect ‘optimism’ or ‘pessimism’ about what will happen. However, Pavlovian control favours responses (e.g. approach or withdrawal) according to the valence associated with a stimulus, rather than the anticipated response outcomes. Typically, positive contexts promote action and approach whilst negative contexts promote inhibition or withdrawal. The prevalence of Go-for-reward (Go-pos) and NoGo-to-avoid-punishment (NoGo-neg) judgement bias tasks reflects this Pavlovian influence. A Pavlovian increase or decrease in activity or vigour has also been argued to accompany positive or negative affective states, and this may interfere with instrumental Go or NoGo decisions under ambiguity based on anticipated decision outcomes. One approach to these issues is to develop counter-balanced Go-pos/NoGo-neg and Go-neg/NoGo-pos tasks. Here we implement such tasks in Sprague Dawley rats and C57BL/6J mice using food and air-puff as decision outcomes. We find striking species/strain differences with rats achieving criterion performance on the Go-pos/NoGo-neg task but failing to learn the Go-neg/NoGo-pos task, in line with predictions, whilst mice do exactly the opposite. Pavlovian predispositions may thus differ between species, for example reflecting foraging and predation ecology and/or baseline activity rates. Learning failures are restricted to cues predicting a negative outcome; use of a more powerful air-puff stimulus may thus allow implementation of a fully counter-balanced task. Rats and mice achieve criterion faster than in comparable automated tasks and also show the expected generalisation of responses across ambiguous tones. A fully counter-balanced task thus offers a potentially rapidly implemented and automated method for assessing animal welfare, identifying welfare problems and areas for welfare improvement and 3Rs Refinement, and assessing the effectiveness of refinements.
机译:对动物情感和福利的偏见判断假设动物对模棱两可刺激的反应(可能预示着积极或消极的结果)处于工具控制之下,反映出对即将发生的事情的“乐观”或“悲观”。但是,巴甫洛夫式控制倾向于根据刺激的效价而不是预期的响应结果来响应(例如进场或撤离)。通常,积极的情境促进行动和方法,而消极的情境促进抑制或退缩。奖励(Go-pos)和避免惩罚(NoGo-neg)判断偏见任务的普遍性反映了这种巴甫洛夫式的影响。活动或活力的巴甫洛夫式增加或减少也伴随着积极或消极的情感状态,这可能会干扰基于预期决策结果的歧义下的工具性Go或NoGo决策。解决这些问题的一种方法是开发平衡的Go-pos / NoGo-neg和Go-neg / NoGo-pos任务。在这里,我们使用食物和吹气作为决策结果,在Sprague Dawley大鼠和C57BL / 6J小鼠中执行此类任务。我们发现,与老鼠在Go-pos / NoGo-neg任务上达到标准性能但未能学习Go-neg / NoGo-pos任务的老鼠之间存在显着的物种/品系差异,这与预测相符,而老鼠却恰恰相反。因此,不同物种之间的巴甫洛夫病倾向可能不同,例如反映了觅食和捕食生态和/或基线活动率。学习失败仅限于预测负面结果的线索;因此,使用更强大的吹气刺激可以实现完全平衡的任务。与可比的自动化任务相比,大鼠和小鼠更快地达到了标准,并且还显示了模棱两可的音色之间预期的响应一般性。因此,完全平衡的任务为评估动物福利,识别福利问题以及福利改善和3Rs提炼领域以及评估提炼的有效性提供了一种潜在的快速实施和自动化的方法。

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