A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the Skin.
A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the Skin.
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DOI：
10.1109/tbme.2020.3007397
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Bisley JW
中科院分区：
文献类型：
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作者：
Ouyang Q;Wu J;Shao Z;Chen D;Bisley JW
关于物体的触觉信息只能从触觉感受器及其传入的群体反应中提取。因此，为了最好地控制机器人、神经假体或触觉设备中的触觉信息，输入应该代表来自全部传入群体的响应。在这里，我们描述了一个简化的模型，在个人电脑中重建传入群体响应的数千触觉传入。整个模型包括一个电阻网络模型，以简化皮肤力学和一个改进版本的一个单一的单元模型，我们已经描述。整个模型由简短高效的Python代码实现。模型的参数是基于一个简单的振动刺激来拟合的，但模拟输出一般化以匹配感受野大小、边缘增强和对点纹理、浮雕字母和曲面的神经生理反应。我们讨论了如何使用这项工作来模拟触觉感知，并提供指导，在设计和控制高度逼真的触觉界面的机器人，神经假体和触觉设备。
Tactile information about an object can only be extracted from population responses of tactile receptors and their afferents. Thus, to best control tactile information in robots, neuroprostheses or haptic devices, inputs should represent responses from full populations of afferents. Here, we describe a simplified model that recreates afferent population responses of thousands of tactile afferents in a personal computer. The whole model includes a resistance network model to simplify the skin mechanics and an improved version of a single unit model that we have previously described. The whole model was implemented by short and efficient python code. The parameters of the model were fit based on a simple vibrating stimulus, but the simulated outputs generalize to match receptive field sizes, edge enhancement, and neurophysiological responses to dot textures, embossed letters and curved surfaces. We discuss how to use this work to model haptic perception and provide guidance in designing and controlling highly realistic tactile interfaces in robots, neural prostheses and haptic devices.