Borghuis Bart G, Leonardo Anthony
Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, and Department of Anatomical Sciences and Neurobiology, University of Louisville, School of Medicine, Louisville, Kentucky 40202
Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, and
J Neurosci. 2015 Nov 18;35(46):15430-41. doi: 10.1523/JNEUROSCI.3189-15.2015.
Sensorimotor delays decouple behaviors from the events that drive them. The brain compensates for these delays with predictive mechanisms, but the efficacy and timescale over which these mechanisms operate remain poorly understood. Here, we assess how prediction is used to compensate for prey movement that occurs during visuomotor processing. We obtained high-speed video records of freely moving, tongue-projecting salamanders catching walking prey, emulating natural foraging conditions. We found that tongue projections were preceded by a rapid head turn lasting ∼ 130 ms. This motor lag, combined with the ∼ 100 ms phototransduction delay at photopic light levels, gave a ∼ 230 ms visuomotor response delay during which prey typically moved approximately one body length. Tongue projections, however, did not significantly lag prey position but were highly accurate instead. Angular errors in tongue projection accuracy were consistent with a linear extrapolation model that predicted prey position at the time of tongue contact using the average prey motion during a ∼ 175 ms period one visual latency before the head movement. The model explained successful strikes where the tongue hit the fly, and unsuccessful strikes where the fly turned and the tongue hit a phantom location consistent with the fly's earlier trajectory. The model parameters, obtained from the data, agree with the temporal integration and latency of retinal responses proposed to contribute to motion extrapolation. These results show that the salamander predicts future prey position and that prediction significantly improves prey capture success over a broad range of prey speeds and light levels.
Neural processing delays cause actions to lag behind the events that elicit them. To cope with these delays, the brain predicts what will happen in the future. While neural circuits in the retina and beyond have been suggested to participate in such predictions, few behaviors have been explored sufficiently to constrain circuit function. Here we show that salamanders aim their tongues by using extrapolation to estimate future prey position, thereby compensating for internal delays from both visual and motor processing. Predictions made just before a prey turn resulted in the tongue being projected to a position consistent with the prey's pre-turn trajectory. These results define the computations and operating regimen for neural circuits that predict target motion.
感觉运动延迟使行为与驱动它们的事件解耦。大脑通过预测机制来补偿这些延迟,但其有效性以及这些机制起作用的时间尺度仍知之甚少。在此,我们评估预测是如何用于补偿视觉运动处理过程中猎物的移动。我们获取了自由移动、伸出舌头的蝾螈捕捉行走猎物的高速视频记录,模拟自然觅食条件。我们发现,在舌头伸出之前有一个持续约130毫秒的快速转头动作。这种运动延迟,加上在明视觉光水平下约100毫秒的光转导延迟,产生了约230毫秒的视觉运动反应延迟,在此期间猎物通常移动约一个身体长度。然而,舌头伸出并没有显著滞后于猎物位置,而是高度准确。舌头伸出准确性的角度误差与一个线性外推模型一致,该模型使用头部运动前一个视觉潜伏期内约175毫秒期间的平均猎物运动来预测舌头接触时的猎物位置。该模型解释了舌头击中苍蝇的成功攻击,以及苍蝇转身而舌头击中与苍蝇早期轨迹一致的虚拟位置的不成功攻击。从数据中获得的模型参数与为运动外推做出贡献的视网膜反应的时间整合和潜伏期一致。这些结果表明,蝾螈能够预测未来猎物的位置,并且这种预测在广泛的猎物速度和光照水平下显著提高了猎物捕获成功率。
神经处理延迟导致动作滞后于引发它们的事件。为了应对这些延迟,大脑会预测未来会发生什么。虽然视网膜及其他部位的神经回路被认为参与了此类预测,但很少有行为被充分研究以限制回路功能。在此我们表明,蝾螈通过外推来估计未来猎物位置从而瞄准它们的舌头,从而补偿视觉和运动处理过程中的内部延迟。在猎物转弯前做出的预测导致舌头被投射到与猎物转弯前轨迹一致的位置。这些结果定义了预测目标运动的神经回路的计算和运行机制。