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预测手部触觉刺激引发的尖峰的时间。

Predicting the timing of spikes evoked by tactile stimulation of the hand.

机构信息

Zanvyl Krieger Mind/Brain Institute and Johns Hopkins University, Baltimore, Maryland, USA.

出版信息

J Neurophysiol. 2010 Sep;104(3):1484-96. doi: 10.1152/jn.00187.2010. Epub 2010 Jul 7.

Abstract

What does the hand tell the brain? Tactile stimulation of the hand evokes remarkably precise patterns of neural activity, suggesting that the timing of individual spikes may convey information. However, many aspects of the transformation of mechanical deformations of the skin into spike trains remain unknown. Here we describe an integrate-and-fire model that accurately predicts the timing of individual spikes evoked by arbitrary mechanical vibrations in three types of mechanoreceptive afferent fibers that innervate the hand. The model accounts for most known properties of the three fiber types, including rectification, frequency-sensitivity, and patterns of spike entrainment as a function of stimulus frequency. These results not only shed light on the mechanisms of mechanotransduction but can be used to provide realistic tactile feedback in upper-limb neuroprostheses.

摘要

手向大脑传达了什么信息?对手部的触觉刺激会引起非常精确的神经活动模式,这表明单个尖峰的时间可能传递着信息。然而,皮肤机械变形转化为尖峰序列的许多方面仍然未知。本文描述了一个整合-触发模型,该模型能够准确预测三种支配手部的机械感受传入纤维在任意机械振动刺激下诱发的单个尖峰的时间。该模型解释了三种纤维类型的大多数已知特性,包括整流、频率敏感性以及刺激频率函数下的尖峰诱发模式。这些结果不仅阐明了机械转导的机制,还可用于在上肢神经假体中提供逼真的触觉反馈。

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