Neural responses to reconstructed target pursuits
Neural responses to reconstructed target pursuits
复制标题
对重建目标追求的神经反应
DOI：
10.1101/2023.05.03.539331
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Ogawa Y
中科院分区：
文献类型：
--
作者：
Ogawa Y
许多动物使用运动视觉信息来控制动态行为。例如，掠食性动物表现出一种敏锐的能力，能够发现快速移动的猎物，然后进行追捕和捕获。这种目标检测不仅用于捕食者，但也可以在同种相互作用中发挥重要作用。雄性食蚜蝇（Eristalis tenax），例如，积极捍卫自己的领土对同种入侵者。视觉目标检测被认为是由专门的目标调谐神经元，发现在一系列物种，包括猫，斑马鱼和昆虫。然而，这些目标调谐神经元如何响应实际的追求轨迹目前还没有很好的理解。为了纠正他的，我们记录从目标选择性下行神经元（TSDNs）在maleEristalis tenaxhoverflies细胞外。我们发现，神经元有背额叶感受野，首选方向向上，远离视觉中线。接下来，我们重建了在追求人造目标（黑珠）过程中所经历的视觉流场。我们记录了TSDN响应6重建的追求，并发现每个神经元响应一致的显着特定的时间点，但这些时间点之间的神经元不同。我们将观察到的尖峰概率与从每个神经元的感受野和大小调谐预测的尖峰概率进行了比较，发现相关系数为0.35。然而，有趣的是，整体反应率很低，单个神经元只对每个重建的追求的一小部分做出反应。相比之下，TSDN人群对追求的比例要大得多（中位数高达23%）。如果不同的神经元控制行为输出的不同部分，神经元之间的这种巨大差异可能是有用的。重要性陈述下行神经元占神经系统的不到1%，但必须将所有必要的信息从大脑传递到身体。因此，它们是感觉运动转化的关键瓶颈。例如，雄性食蚜蝇（Eristalis tenax）的下行目标调谐神经元被认为在领土防御和追求同种中起着关键作用。然而，这还没有使用类似于重建的目标追求的视觉刺激进行测试。我们在这里发现，所观察到的神经反应重建的追求是强于那些预测的反应简单的刺激。此外，虽然对简单刺激的反应表明神经元群体是同质的，但重建的追踪显示出个体神经元之间的重要差异。因此，我们的数据强调了在破译神经功能时使用更多自然刺激的必要性。
Many animals use motion vision information to control dynamic behaviors. Predatory animals, for example, show an exquisite ability to detect rapidly moving prey followed by pursuit and capture. Such target detection is not only used by predators but can also play an important role in conspecific interactions. Male hoverflies (Eristalis tenax), for example, vigorously defend their territories against conspecific intruders. Visual target detection is believed to be subserved by specialized target tuned neurons that are found in a range of species, including cats, zebrafish, and insects. However, how these target-tuned neurons respond to actual pursuit trajectories is currently not well understood. To redress his, we recorded extracellularly from target selective descending neurons (TSDNs) in maleEristalis tenaxhoverflies. We show that the neurons have dorso-frontal receptive fields, with a preferred direction up and away from the visual midline. We next reconstructed visual flow-fields as experienced during pursuits of artificial targets (black beads). We recorded TSDN responses to six reconstructed pursuits and found that each neuron responded consistently at remarkably specific time points, but that these time points differed between neurons. We compared the observed spike probability with the spike probability predicted from each neuron’s receptive field and size tuning, and found a correlation coefficient of 0.35. Interestingly, however, the overall response rate was low, with individual neurons responding to only a small part of each reconstructed pursuit. In contrast, the TSDN population responded to a substantially larger proportion of the pursuits (up to a median of 23%). This large variation between neurons could be useful if different neurons control different parts of the behavioral output.Significance statementDescending neurons constitute less than 1% of the nervous system, yet have to convey all requisite information from the brain to the body. They are therefore a crucial bottleneck in sensorimotor transformation. Descending target tuned neurons in male hoverflies (Eristalis tenax), for example, are believed to play a key role in territory defense and pursuit of conspecifics. However, this has not been tested using visual stimuli resembling reconstructed target pursuits. We here found that the observed neural responses to reconstructed pursuits are stronger than those predicted from responses to simpler stimuli. In addition, while the responses to simple stimuli suggested a homogenous population of neurons, the reconstructed pursuits showed important differences between individual neurons. Our data thus highlight the need for using more naturalistic stimuli when deciphering neural function.
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果蝇视觉运动敏感神经元的方向选择性适应是由基于内在电导的机制产生的
影响因子：
3.3
作者：
R. Kurtz
通讯作者：
R. Kurtz
雄蜂蝇的领地性，ERISTALIS TENAX（双翅目：食蚜蝇科）
影响因子：
0.9
作者：
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通讯作者：
S. M. Fitzpatrick
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DOI：
--
发表时间：
2014
期刊：
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子：
--
作者：
D. O’Carroll;S. Wiederman
通讯作者：
S. Wiederman
方向选择性视网膜神经节细胞之间的活动相关性协同增强复杂视觉场景的运动解码
影响因子：
16.2
作者：
Kuhn NK;Gollisch T
通讯作者：
Gollisch T
影响因子：
1.5
作者：
Andrés Cook;Kaanthi Pandhigunta;Mason A. Acevedo;Adam Walker;Rosalie L. Didcock;Jackson T. Castro;Declan O’Neill;Raghav Acharya;M. S. Bhamla;P. S. Anderson;M. Ilton
通讯作者：
Andrés Cook;Kaanthi Pandhigunta;Mason A. Acevedo;Adam Walker;Rosalie L. Didcock;Jackson T. Castro;Declan O’Neill;Raghav Acharya;M. S. Bhamla;P. S. Anderson;M. Ilton