Results 11 to 20 of about 9,513 (205)
Pathways to cellular supremacy in biocomputing
Nature Communications, 2019 Synthetic biology uses cells as its computing substrate, often based on the genetic circuit concept. In this Perspective, the authors argue that existing synthetic biology approaches based on classical models of computation limit the potential of ...
Lewis Grozinger +9 more
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Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Advanced Electronic MaterialsNeural biocomputing is an emerging computing paradigm in which living neural networks serve as substrates for information processing, offering adaptive and energy‐efficient alternatives to conventional silicon‐based architectures.
Sehong Kang +5 more
doaj +2 more sources
Spatially Encoded Protocell Network for Non-Cascaded Parallel Biocomputation. [PDF]
Adv Sci (Weinh)A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Wu S, Tian L.
europepmc +2 more sources
Human-Centric Functional Modeling of Biocomputers [PDF]
, 2021 This paper explores how the technique of Human-Centric Functional Modeling might potentially be used to represent a broad subset of proposed implementations of biocomputing with anywhere from narrow to general problem-solving ability within a given ...
Williams, Andy
core +1 more source
International Journal of Trend in Scientific Research and Development, 2018 Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing.
Matthew N. O. Sadiku +2 more
openaire +1 more source
Large‐Scale Cardiac Muscle Cell‐Based Coupled Oscillator Network for Vertex Coloring Problem
Advanced Intelligent Systems, 2023 Modern computers require an exponential increase in resources when solving computationally hard problems, motivating the need for an alternative computing platform to solve such problems in an energy‐efficient manner.
Jiaying Ji +6 more
doaj +1 more source
Large and stable: actin aster networks formed via entropic forces
Frontiers in Chemistry, 2022 Biopolymer networks play a major role as part of the cytoskeleton. They provide stable structures and act as a medium for signal transport. These features encourage the application of such networks as organic computation devices.
Friedrich Fabian Spukti +3 more
doaj +1 more source
eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes
BMC Genomics, 2017 Background Genetic investigations, boosted by modern sequencing techniques, allow dissecting the genetic component of different phenotypic traits. These efforts result in the compilation of lists of genes related to diseases and show that an increasing ...
Giulia Babbi +5 more
doaj +1 more source
Cardiac Muscle Cell‐Based Coupled Oscillator Network for Collective Computing
Advanced Intelligent Systems, 2021 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.
Xiang Ren +8 more
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Self-repairing hardware architecture for safety-critical cyber-physical-systems
IET Cyber-Physical Systems, 2019 Digital embedded systems in safety-critical cyber-physical-systems (CPSs) require high levels of resilience and robustness against different fault classes.
Shawkat S. Khairullah +2 more
doaj +1 more source