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Neuro-Skins: Dynamics, Plasticity and Effect of Neuron Type and Cell Size on Their Response

机译:神经皮肤:动力学,可塑性以及神经元类型和细胞大小对其反应的影响

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摘要

We are introducing a new type of membrane, called neuro-skin or neuro-membrane. It is comprised of neurons embedded in a plastic membrane. The skin is smart and adaptive and is capable of providing desirable response to inputs intelligently. This way, the neuro-skin can be considered as a new type of neural network with adaptivity and learning capabilities. However, in this paper, only the response of neuro-skins to a dynamic input is studied. The membrane is modelled by nonlinear dynamic finite elements. Each finite element is considered as a cell of the neuro-skin which has a neuron. The neuron is the intelligent nucleus of the element. So, the finite elements are called finite neuro-elements (FNEs). Each FNE receives feedback excitation from its own neuron, as well as from its neighbouring neurons. Contrary to dynamic plastic continuous neural networks previously studied by the authors, the neurons in a neuro-skin do not apply concentrated loads but they apply traction stresses to the surface of NFEs. The membrane is in fact a skin made up of intelligent cells representing both neural activity and mechanical plasticity. The effect of neuron type and cell size on the response of neuro-skins is studied. Trainability is another issue which is not discussed in this paper. We have used the terms neuro-skin and neuro-membrane interchangeably.
机译:我们正在引入一种新型的膜,称为神经皮肤或神经膜。它由嵌入塑料膜中的神经元组成。皮肤是智能的和自适应的,并且能够智能地对输入提供所需的响应。这样,可以将神经皮肤视为具有适应性和学习能力的新型神经网络。但是,在本文中,仅研究了神经皮肤对动态输入的响应。膜由非线性动态有限元建模。每个有限元都被认为是具有神经元的神经皮肤细胞。神经元是元素的智能核。因此,有限元称为有限神经元(FNE)。每个FNE都从其自己的神经元及其相邻神经元接收反馈激励。与作者先前研究的动态可塑性连续神经网络相反,神经皮肤中的神经元不施加集中载荷,而是将牵引应力施加到NFE的表面。膜实际上是由代表神经活动和机械可塑性的智能细胞组成的皮肤。研究了神经元类型和细胞大小对神经皮肤反应的影响。可培训性是本文未讨论的另一个问题。我们已经交替使用了术语“神经皮肤”和“神经膜”。

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