Abstract
15 Current rate of structured and unstructured 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 that exploit biological components for biocomputing leverages the information processing units of the cells, 20 such as DNA, gene or protein circuitries, are inherently slow (hours to days speed) and, hence, are primarily being considered for archival storage of information. On the other hand, electrically active living cells that could operate in the Megahertz regime and can be connected as networks to perform massively parallel tasks, can transform biocomputing and lead to novel ways of high throughput information processing. In this study, we explore the potential of coupled oscillator 25
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CITATION STYLE
Ren, X., Gomez, J., Bashar, M. K., Ji, J., Can, U. I., Chang, H.-C., … Zorlutuna, P. (2021). Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing. Advanced Intelligent Systems, 3(4). https://doi.org/10.1002/aisy.202170043
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