含有工程菌的单层人工神经网络（Emerging Technologies）
- 2020 年 1 月 8 日
- 筆記
通过电子计算机、光子学和体外DNA计算，我们建立了人工神经网络的抽象数学规则。在这里，我们演示了人工神经网络在活的细菌细胞中的物理实现。我们使用工程菌创建了单层人工神经网络，单个细菌作为一个人工神经元，并演示了一个2- to-4解码器和一个1-to-2解复用器来处理化学信号。输入细胞外的化学信号后，这些信号线性结合，通过一个非线性的双弯曲激活函数进行处理，产生荧光蛋白输出。激活函数由合成的遗传电路生成，对每个人工神经元，通过设计细菌神经元内的分子相互作用，手动调整其权值和偏置值，以表示特定的逻辑函数。人工细菌神经元被连接成人工神经网络结构，以实现2- to-4化学解码器和1-to-2化学解复用器。据我们所知，这是第一个由人工细菌神经元产生的神经网络。这为人工神经网络的研究开辟了新的方向，工程生物细胞可以作为人工神经网络的硬件。
原文题目：A single layer artificial neural network with engineered bacteria
原文： The abstract mathematical rules of artificial neural network (ANN) are implemented through computation using electronic computers, photonics and in-vitro DNA computation. Here we demonstrate the physical realization of ANN in living bacterial cells. We created a single layer ANN using engineered bacteria, where a single bacterium works as an artificial neuron and demonstrated a 2- to-4 decoder and a 1-to-2 de-multiplexer for processing chemical signals. The inputs were extracellular chemical signals, which linearly combined and got processed through a non-linear log-sigmoid activation function to produce fluorescent protein outputs. The activation function was generated by synthetic genetic circuits, and for each artificial neuron, the weight and bias values were adjusted manually by engineering the molecular interactions within the bacterial neuron to represent a specific logical function. The artificial bacterial neurons were connected as ANN architectures to implement a 2- to-4 chemical decoder and a 1-to-2 chemical de-multiplexer. To our knowledge, this is the first ANN created by artificial bacterial neurons. Thus, it may open up a new direction in ANN research, where engineered biological cells can be used as ANN enabled hardware.
原文作者：Kathakali Sarkar, Deepro Bonnerjee, Sangram Bagh
原文地址： https://arxiv.org/abs/2001.00792
