Cardiac Muscle Cell?Based Coupled Oscillator Network for Collective Computing

Current rate of data generation and the need for real-time analytics can benefit from new computational approaches where computation proceeds in a massively parallel way while being scalable energy efficient. Biological systems arising interaction living cells provide such pathways sustainable computing. designs biocomputing leveraging information processing units cells, as DNA, gene, or protein circuitries, are inherently slow (hours to days speed) and, therefore, primarily considered archival storage information. On contrary, electrically active that synchronize milliseconds be connected networks perform tasks transform lead novel ways high throughput processing. Herein, coupled oscillator made cardiac muscle bio-oscillators, is explored collective computing components solving computationally hard problems. An empirically validated circuit compatible macromodel developed bio-oscillators fibroblast acting coupling elements, faithfully reproduce synchronization dynamics network it shown bio-oscillator scaled up hundreds nodes used solve problems faster than traditional heuristics-based Boolean algorithms.