Molecular neuron based on the Franck-Condon blockade
Molecular neuron based on the Franck-Condon blockade
复制标题
DOI：
10.1088/0957-4484/24/38/384001
复制
发表时间：
2013-09-27
期刊：
影响因子：
3.5
通讯作者：
Di Ventra, M.
中科院分区：
文献类型：
--
作者：
Timm, C.;Di Ventra, M.
神经元的电子实现作为神经形态计算的基石引起了人们的极大兴趣。当输入信号超过给定的阈值时，电子神经元应该向输入和输出线发送信号，从而可能影响神经网络的所有其他部分。在这里，我们提出了一种基于分子电子学组件的神经元设计，因此有望实现非常高的集成度。我们使用蒙特卡罗技术模拟了该系统的典型时间演化，从而表明它确实是一个神经元。
Electronic realizations of neurons are of great interest as building blocks for neuromorphic computation. Electronic neurons should send signals into the input and output lines when subject to an input signal exceeding a given threshold, in such a way that they may affect all other parts of a neural network. Here, we propose a design for a neuron that is based on molecular-electronics components and thus promises a very high level of integration. We employ the Monte Carlo technique to simulate typical time evolutions of this system and thereby show that it indeed functions as a neuron.