Spatial probability dynamically modulates visual target detection in chickens.
Spatial probability dynamically modulates visual target detection in chickens.
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DOI：
10.1371/journal.pone.0064136
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Knudsen EI
中科院分区：
文献类型：
--
作者：
Sridharan D;Ramamurthy DL;Knudsen EI
自然界包含着丰富且不断变化的感官信息。为了生存，有机体必须能够在任何时候灵活、快速地定位最相关的信息源。人类和非人类灵长类动物利用相关刺激(目标)空间分布的规律性来改进对目标概率高的位置的检测。灵长类动物独有的基于视觉体验灵活修改行为的能力吗？研究人员对家鸡进行了多种选择Go/NoGo任务的训练，以在视野的每个象限中发现一个短暂闪烁的小点(目标)。当目标出现在每个象限中的概率相等(25%)时，鸡在探测较低位置的目标方面表现出明显的优势，相对于较高的半视野位置。增加出现在上半场位置的概率(到80%)显著改善了在这些位置的检测性能，使其与下半场性能相当。最后，上半场的检测性能随时间尺度的快速变化而变化，随着连续的目标检测而提高，并随着在下半场的对角相反位置的连续检测而下降。这些数据表明，在鸡身上，就像在灵长类动物中一样，根据感觉刺激的空间概率以及最近的表现历史，灵活和动态地调节检测性能的过程的作用。
The natural world contains a rich and ever-changing landscape of sensory information. To survive, an organism must be able to flexibly and rapidly locate the most relevant sources of information at any time. Humans and non-human primates exploit regularities in the spatial distribution of relevant stimuli (targets) to improve detection at locations of high target probability. Is the ability to flexibly modify behavior based on visual experience unique to primates? Chickens (Gallus domesticus) were trained on a multiple alternative Go/NoGo task to detect a small, briefly-flashed dot (target) in each of the quadrants of the visual field. When targets were presented with equal probability (25%) in each quadrant, chickens exhibited a distinct advantage for detecting targets at lower, relative to upper, hemifield locations. Increasing the probability of presentation in the upper hemifield locations (to 80%) dramatically improved detection performance at these locations to be on par with lower hemifield performance. Finally, detection performance in the upper hemifield changed on a rapid timescale, improving with successive target detections, and declining with successive detections at the diagonally opposite location in the lower hemifield. These data indicate the action of a process that in chickens, as in primates, flexibly and dynamically modulates detection performance based on the spatial probabilities of sensory stimuli as well as on recent performance history.
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