...
首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Modeling forces and moments at the base of a rat vibrissa during noncontact whisking and whisking against an object
【24h】

Modeling forces and moments at the base of a rat vibrissa during noncontact whisking and whisking against an object

机译:在非接触式搅拌和对物体搅拌期间,模拟大鼠触须底部的力和力矩

获取原文
获取原文并翻译 | 示例

摘要

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 asmanyof 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.
机译:在探索行为中,老鼠将胡须刷在物体上并用其拍打,这样产生的机械信号构成了主要的感官变量,这些动物以此为基础对世界的触觉触觉进行了感知。但是,到目前为止,我们还缺乏有关触角的通用动力学模型,其中包括惯性,阻尼和碰撞的影响。我们模拟了触觉动力学,以计算在非接触(自由空气)扫打和与物体(碰撞)扫打期间,触颤基座上的时变力和弯矩。结果表明:(1)在非接触式搅拌过程中,机械信号中的成分既包含搅拌频率,又包含搅拌频率的两倍(后者可以编码搅拌速度); (2)当大鼠有节奏地撞击物体时,触须的固有动力学可能与碰撞的机械作用一样大,但是,轴向力仍然可以基于阈值生成可靠地指示碰撞的响应; (3)晶须速度对晶须与物体碰撞过程中产生的瞬态响应影响很小。相反,瞬态响应将在很大程度上取决于老鼠在碰撞后如何选择使其触须减速。该模型允许实验者估计振动状态的准静态描述的误差范围,并且该模型的预测可用于限制来自对振动状态进行编码的神经元的实际期望。在三叉神经节的主要感觉神经元对机械信号的各种组合敏感的假设下,我们讨论了这些结果的含义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号