Prediction of Choice From Competing Mechanosensory and Choice-Memory Cues During Active Tactile Decision Making
Prediction of Choice From Competing Mechanosensory and Choice-Memory Cues During Active Tactile Decision Making
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在主动触觉决策过程中，通过竞争性机械感觉和选择记忆线索来预测选择
DOI：
10.1101/400358
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Dario C
中科院分区：
文献类型：
--
作者：
Dario C
知觉决策是动物通过运动感觉器官来提取任务相关信息的主动过程。为了研究大脑如何在主动感觉过程中将感觉输入转化为决策，我们开发了一种小鼠主动触摸任务，其中可以精确测量机械感觉输入，并挑战动物使用多种机械感觉线索。雄性老鼠被训练用一根触须定位一根杆子，并通过选择三种选择之一来报告他们的决定。使用高速成像和机器视觉，我们以毫秒级的分辨率估计了胡须物体的机械力。小鼠通过感觉运动策略解决了任务，其中胡须弯曲的强度和方向都是极点位置的信息线索。我们发现即时感觉输入和选择记忆对小鼠选择的竞争性影响。在正确的试验中，选择可以从晶须弯曲的方向和强度来预测，但不能从先前的选择。相反，在错误试验中，选择可以从以前的选择，但不是从晶须弯曲预测。这项研究表明，动物的选择在主动触觉决策可以预测从mechanosensory和选择记忆信号，并提供了一个新的任务，非常适合于未来的研究的神经基础的主动知觉decisions.SIGNIFICANCE STAMENTDue的移动感觉器官的感觉输入测量的困难，主动知觉决策仍然知之甚少。晶须系统提供了一种前进的方式，因为现在可以测量由于行为期间晶须-物体接触而产生的机械力。在这里，我们训练小鼠进行一种新的行为任务，挑战它们使用丰富的机械感觉线索，但可以使用一根胡须进行，并使任务相关的机械力能够精确估计。这种方法可以严格研究感官线索如何在积极的感知决策过程中转化为行动。我们的发现为主动触摸以及感觉/内部信号如何相互作用以确定行为选择提供了新的见解。
Perceptual decision making is an active process where animals move their sense organs to extract task-relevant information. To investigate how the brain translates sensory input into decisions during active sensation, we developed a mouse active touch task where the mechanosensory input can be precisely measured and that challenges animals to use multiple mechanosensory cues. Male mice were trained to localize a pole using a single whisker and to report their decision by selecting one of three choices. Using high-speed imaging and machine vision, we estimated whisker–object mechanical forces at millisecond resolution. Mice solved the task by a sensory-motor strategy where both the strength and direction of whisker bending were informative cues to pole location. We found competing influences of immediate sensory input and choice memory on mouse choice. On correct trials, choice could be predicted from the direction and strength of whisker bending, but not from previous choice. In contrast, on error trials, choice could be predicted from previous choice but not from whisker bending. This study shows that animal choices during active tactile decision making can be predicted from mechanosensory and choice-memory signals, and provides a new task well suited for the future study of the neural basis of active perceptual decisions.SIGNIFICANCE STATEMENTDue to the difficulty of measuring the sensory input to moving sense organs, active perceptual decision making remains poorly understood. The whisker system provides a way forward since it is now possible to measure the mechanical forces due to whisker–object contact during behavior. Here we train mice in a novel behavioral task that challenges them to use rich mechanosensory cues but can be performed using one whisker and enables task-relevant mechanical forces to be precisely estimated. This approach enables rigorous study of how sensory cues translate into action during active, perceptual decision making. Our findings provide new insight into active touch and how sensory/internal signals interact to determine behavioral choices.