Modeling Forces and Moments at the Base of a Rat Vibrissa during Noncontact Whisking and Whisking against an Object
Modeling Forces and Moments at the Base of a Rat Vibrissa during Noncontact Whisking and Whisking against an Object
复制标题
模拟非接触式搅拌和对物体搅拌时大鼠触须根部的力和力矩
作者：
B. Quist;Vlad Seghete;Lucie A. Huet;T. Murphey;M. Hartmann
在探索行为中，老鼠用胡须刷和敲击物体，由此产生的机械信号构成了这些动物对世界的触觉感知的主要感觉变量。然而，到目前为止，我们缺乏一个通用的动力学模型的触须，包括惯性，阻尼和碰撞的影响。我们模拟了触须动力学，以计算在非接触式（自由空气）搅拌和对物体（碰撞）搅拌期间触须基部的时变力和弯矩。结果表明：（1）在非接触搅拌期间，机械信号包含搅拌频率和两倍于搅拌频率的分量（后者可以编码搅拌速度）;（2）当大鼠有节奏地拍打物体时，触须的内在动力可以与碰撞的许多机械效应一样大，然而，轴向力仍然可以产生响应，该响应基于阈值可靠地指示碰撞;以及（3）搅动速度对在搅动物-物体碰撞期间产生的瞬态响应仅具有很小的影响。相反，短暂的反应将在很大程度上取决于大鼠在碰撞后选择如何减速其触须。该模型允许实验估计误差界准静态描述的触须形状，其预测可用于绑定的编码触须传感神经元的现实期望。我们讨论的假设下，初级感觉神经元的三叉神经节的机械信号的各种组合敏感的这些结果的影响。
During exploratory behavior, rats brush and tap their whiskers against objects, and the mechanical signals so generated constitute the primary sensory variables upon which these animals base their vibrissotactile perception of the world. To date, however, we lack a general dynamic model of the vibrissa that includes the effects of inertia, damping, and collisions. We simulated vibrissal dynamics to compute the time-varying forces and bending moment at the vibrissa base during both noncontact (free-air) whisking and whisking against an object (collision). Results show the following: (1) during noncontact whisking, mechanical signals contain components at both the whisking frequency and also twice the whisking frequency (the latter could code whisking speed); (2) when rats whisk rhythmically against an object, the intrinsic dynamics of the vibrissa can be as large as many of the mechanical effects of the collision, however, the axial force could still generate responses that reliably indicate collision based on thresholding; and (3) whisking velocity will have only a small effect on the transient response generated during a whisker–object collision. Instead, the transient response will depend in large part on how the rat chooses to decelerate its vibrissae after the collision. The model allows experimentalists to estimate error bounds on quasi-static descriptions of vibrissal shape, and its predictions can be used to bound realistic expectations from neurons that code vibrissal sensing. We discuss the implications of these results under the assumption that primary sensory neurons of the trigeminal ganglion are sensitive to various combinations of mechanical signals.
影响因子：
2.5
作者：
Pinto, DJ;Brumberg, JC;Simons, DJ
通讯作者：
Simons, DJ