Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing | Zendy

Ren Xiang | Zendy; Gomez Jorge | Zendy; Bashar Mohammad Khairul | Zendy; Ji Jiaying | Zendy; Can Uryan Isik | Zendy; Chang Hsueh-Chia | Zendy; Shukla Nikhil | Zendy; Datta Suman | Zendy; Zorlutuna Pinar | Zendy

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Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing

Author(s) -

Ren Xiang,

Gomez Jorge,

Bashar Mohammad Khairul,

Ji Jiaying,

Can Uryan Isik,

Chang Hsueh-Chia,

Shukla Nikhil,

Datta Suman,

Zorlutuna Pinar

Publication year - 2021

Publication title -

advanced intelligent systems

Language(s) - English

Resource type - Journals

ISSN - 2640-4567

DOI - 10.1002/aisy.202170043

Subject(s) - micropatterning , graph , cardiac muscle , computer science , node (physics) , field (mathematics) , cardiac cell , theoretical computer science , nanotechnology , engineering , materials science , mathematics , anatomy , biology , structural engineering , pure mathematics , microbiology and biotechnology

Biocomputing Biocomputing is an emerging field aimed at creating computers from biological materials. In article number 2000253 , Pinar Zorlutuna and co‐workers present a biocomputing system constructed using heart muscle cells to natively solve a prototypical constrained optimization problem. A biological computing fabric is created by micropatterning a coupled network of oscillating cardiac cells, which is used to solve a 3‐node graph coloring problem.

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