Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing
Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing
复制标题
用于集体计算的基于心肌细胞的耦合振荡器网络
DOI：
10.1002/aisy.202000253
复制
发表时间：
2021
影响因子：
7.4
通讯作者：
Zorlutuna, Pinar
中科院分区：
文献类型：
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作者：
Ren, Xiang;Gomez, Jorge;Bashar, Mohammad Khairul;Ji, Jiaying;Can, Uryan Isik;Chang, Hsueh-Chia;Shukla, Nikhil;Datta, Suman;Zorlutuna, Pinar
当前的数据生成速度和对实时数据分析的需求可以受益于新的计算方法，其中计算以大规模并行方式进行，同时具有可扩展性和节能性。由活细胞相互作用产生的生物系统可以为可持续计算提供这样的途径。目前利用细胞信息处理单元（例如 DNA、基因或蛋白质电路）的生物计算设计本质上很慢（几小时到几天的速度），因此主要考虑用于信息的存档存储。相反，可以在几毫秒内同步并可以连接为网络以执行大规模并行任务的电活性细胞可以改变生物计算并带来高吞吐量信息处理的新方法。在此，由活体心肌细胞或生物振荡器组成的耦合振荡器网络被探索作为解决计算难题的集体计算组件。针对作为耦合元件的生物振荡器和成纤维细胞开发了一种经过经验验证的电路兼容宏模型，以忠实地再现网络的同步动态，结果表明，这种生物振荡器网络可以扩展到数百个节点，并用于比传统的基于启发式的布尔算法更快地解决计算困难问题。
Current rate of data generation and the need for real‐time data analytics can benefit from new computational approaches where computation proceeds in a massively parallel way while being scalable and energy efficient. Biological systems arising from interaction of living cells can provide such pathways for sustainable computing. Current designs for biocomputing leveraging the information processing units of the cells, such as DNA, gene, or protein circuitries, are inherently slow (hours to days speed) and, therefore, are primarily being considered for archival storage of information. On the contrary, electrically active cells that can synchronize in milliseconds and can be connected as networks to perform massively parallel tasks can transform biocomputing and lead to novel ways of high throughput information processing. Herein, coupled oscillator networks made of living cardiac muscle cells, or bio‐oscillators, is explored as collective computing components for solving computationally hard problems. An empirically validated circuit compatible macromodel is developed for the bio‐oscillators and the fibroblast cells acting as coupling elements, to faithfully reproduce the synchronization dynamics of the network and it is shown that such bio‐oscillator network can be scaled up to hundreds of nodes and be used to solve computationally hard problems faster than traditional heuristics‐based Boolean algorithms.