ArticleNature communications2022
Synthetic neuromorphic computing in living cells.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Bacterial gene regulatory neural network as a biocomputing library of mathematical solvers.NPJ systems biology and applications · 2026Article
- Harnessing synthetic biology for energy-efficient bioinspired electronics: applications for logarithmic data converters.Communications engineering · 2026Article
- Exploring the computing power of microbes that shapes the environment.Current opinion in microbiology · 2026Review
- Base gap switches as transcriptional regulators and their applications as biosensors.Nature sensors · 2026Article
- Supervised learning in DNA neural networks.Nature · 2025Article
- Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025Review
- Nano-Topography Enhanced Topological-Cell-Analysis in Radiation-Therapy.Advanced healthcare materials · 2025Review
- Engineering coupled consortia-based biosensors for diagnostic.Nature communications · 2025Article
- Article
- Chondroitin Sulfate and Proteinoids in Neuron Models.ACS applied bio materials · 2025Article
- Feed-forward loop improves the transient dynamics of an antithetic biological controller.Journal of the Royal Society, Interface · 2025Article
- A synthetic protein-level neural network in mammalian cells.Science (New York, N.Y.) · 2024Article
- Multicellular artificial neural network-type architectures demonstrate computational problem solving.Nature chemical biology · 2024Article
- Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources.ACS synthetic biology · 2024Article
- SemiSynBio: A new era for neuromorphic computing.Synthetic and systems biotechnology · 2024Review
- Emergent digital bio-computation through spatial diffusion and engineered bacteria.Nature communications · 2024Article
- Biocomputation: Moving Beyond Turing with Living Cellular Computers.Communications of the ACM · 2024Article
- A hybrid transistor with transcriptionally controlled computation and plasticity.Nature communications · 2024Article
- Intelligent computation in cancer gene therapy.Frontiers in genetics · 2024Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational properties of neuronal networks have been applied to computing systems using simplified models comprising repeated connected nodes, e.g., perceptrons, with decision-making capabilities and flexible weighted links. Analogously to their revolutionary impact on computing, neuro-inspired models can transform synthetic gene circuit design in a manner that is reliable, efficient in resource utilization, and readily reconfigurable for different tasks. To this end, we introduce the perceptgene, a perceptron that computes in the logarithmic domain, which enables efficient implementation of artificial neural networks in Escherichia coli cells. We successfully modify perceptgene parameters to create devices that encode a minimum, maximum, and average of analog inputs. With these devices, we create multi-layer perceptgene circuits that compute a soft majority function, perform an analog-to-digital conversion, and implement a ternary switch. We also create a programmable perceptgene circuit whose computation can be modified from OR to AND logic using small molecule induction. Finally, we show that our approach enables circuit optimization via artificial intelligence algorithms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.