Chemical implementation of neural networks and Turing machines.

No abstract is available for this paper.

• Publication year

  1991

• Venue

  Proceedings of the National Academy of Sciences of the United States of America

• Publication date

  1991-12-15

• Fields of study

  Medicine, Chemistry, Computer Science

• Identifiers
  DOI 10.1073/PNAS.88.24.10983PMID 1763012PMCID PMC53057
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Unpredictability and undecidability in dynamical systems.

  1990cited by this paper
• Biochemical switching device realizing McCulloch-Pitts type equation

  1988cited by this paper
• Switching mechanism of a cyclic enzyme system: role as a "chemical diode".

  1987cited by this paper
• Computing with neural circuits: a model.

  1986cited by this paper
• Oscillations and Traveling Waves in Chemical Systems

  1985cited by this paper
• Undecidability and intractability in theoretical physics.

  1985cited by this paper
• Neurons with graded response have collective computational properties like those of two-state neurons.

  1984cited by this paper
• Dynamic behavior of cyclic enzyme systems.

  1983cited by this paper
• Neural networks and physical systems with emergent collective computational abilities.

  1982cited by this paper
• Dynamic behavior of enzymatic system realizing two-factor model.

  1980cited by this paper
• Superiority of interconvertible enzyme cascades in metabolic regulation: analysis of monocyclic systems.

  1977cited by this paper
• Formal languages and their relation to automata

  1969cited by this paper
• Computation: Finite and Infinite Machines

  1967cited by this paper

• In-context learning emerges in chemical reaction networks without attention

  2026cites this paper
• Physics-guided transfer learning for Bayesian optimization of chemical port-Hamiltonian systems

  2025cites this paper
• Supervised learning in DNA neural networks

  2025cites this paper
• Contextual Computation by Competitive Protein Dimerization Networks

  2025cites this paper
• Limits on the computational expressivity of non-equilibrium biophysical processes

  2025cites this paper
• Decoding the architecture of living systems

  2025cites this paper
• Modeling the Monty Hall decision problem with reaction kinetics.

  2025cites this paper
• Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things

  2025cites this paper
• Microbial computing: Review and perspectives.

  2025cites this paper
• Molecular Spiking Neuron System Based on Spike Timing-Dependent Plasticity

  2025cites this paper
• Noise-robust training of artificial neural networks using chemical reaction networks

  2025cites this paper
• pH-Controlled enzymatic computing for digital circuits and neural networks.

  2024cites this paper
• Computing Threshold Circuits with Void Reactions in Step Chemical Reaction Networks

  2024cites this paper
• Biomimetic Materials to Fabricate Artificial Cells.

  2024cites this paper
• Design of a molecular exchange-based robust perceptron for biomolecular neural network

  2024cites this paper
• Limits on the computational expressivity of non-equilibrium biophysical processes.

  2024cites this paper
• Recurrent neural chemical reaction networks that approximate arbitrary dynamics

  2024cites this paper
• Noise-robust chemical reaction networks training artificial neural networks

  2024cites this paper
• NeuralCRNs: A Natural Implementation of Learning in Chemical Reaction Networks

  2024cites this paper
• Principles of Computation by Competitive Protein Dimerization Networks

  2023cites this paper
• Emergence, Construction, or Unlikely? Navigating the Space of Questions regarding Life's Origins

  2023cites this paper
• Chemical Memory with Discrete Turing Patterns Appearing in the Glycolytic Reaction

  2023cites this paper
• Neural coding of temperature with a DNA-based spiking chemical neuron

  2023cites this paper
• Reservoir Computing With Dynamic Reservoir using Cascaded DNA Memristors

  2023cites this paper
• A survey on molecular-scale learning systems with relevance to DNA computing.

  2023cites this paper
• DNA Memristors and Their Application to Reservoir Computing.

  2022cites this paper
• Probabilistic Inference with Polymerizing Biochemical Circuits

  2022cites this paper
• Information Processing Using Networks of Chemical Oscillators

  2022cites this paper
• The development of reasoning by exclusion in infancy.

  2022cites this paper
• Unconventional Logic on Unipolar CBRAM Based Oscillators

  2022cites this paper
• Towards Programming Adaptive Linear Neural Networks Through Chemical Reaction Networks

  2022cites this paper
• Reservoir Computing Using DNA Oscillators.

  2022cites this paper
• On the Computational Power of Phosphate Transfer Reaction Networks

  2022cites this paper
• Operant conditioning of stochastic chemical reaction networks

  2022cites this paper
• Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly

  2022cites this paper
• Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines

  2022cites this paper
• Provenance of life: Chemical autonomous agents surviving through associative learning.

  2022cites this paper
• Chemical Neural Networks Inside Synthetic Cells? A Proposal for Their Realization and Modeling

  2022cites this paper
• Programming Molecular Systems To Emulate a Learning Spiking Neuron

  2022cites this paper
• Programming cell-free biosensors with DNA strand displacement circuits

  2021cites this paper
• Novel Methods for International Safeguard Sensing: Nonlinear Chemical Waves and In Situ Logic-Tree Analysis.

  2021cites this paper
• Robust Digital Molecular Design of Binarized Neural Networks

  2021cites this paper
• Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?

  2021cites this paper
• Multifunctional Spatially-Expanded Logic Gate for Unconventional Computations with Memristor-Based Oscillators

  2021cites this paper
• Programming and training rate-independent chemical reaction networks

  2021cites this paper
• An Electrocatalytic Reaction As a Basis for Chemical Computing in Water Droplets.

  2021cites this paper
• Synthetic neuromorphic computing in living cells

  2021cites this paper
• Future DNA computing device and accompanied tool stack: Towards high-throughput computation

  2021cites this paper
• Memristive Oscillatory Networks for Computing: The Chemical Wave Propagation Paradigm

  2021cites this paper
• Complex and Surprising Dynamics in Gene Regulatory Networks

  2020cites this paper
• A thermodynamically consistent chemical spiking neuron capable of autonomous Hebbian learning

  2020cites this paper
• A simple regulatory architecture allows learning the statistical structure of a changing environment

  2020cites this paper
• Turing Computability of Fourier Transforms of Bandlimited and Discrete Signals

  2020cites this paper
• Modelling Complex Phenomena in Physiology

  2020cites this paper
• A Quantum Finite Automata Approach to Modeling the Chemical Reactions

  2020cites this paper
• Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks

  2020cites this paper
• Using strand displacing polymerase to program chemical reaction networks.

  2020cites this paper
• Programming DNA for molecular-scale temporal barcoding and enzymatic computation

  2020cites this paper
• Verifying polymer reaction networks using bisimulation

  2020cites this paper
• Signaling-based neural networks for cellular computation

  2020cites this paper
• Artificial Intelligence in Biological Modelling

  2020cites this paper
• DNAr: An R Package to Simulate and Analyze CRN and DSD Networks.

  2020cites this paper
• Construction of a Simple and Intelligent DNA-based Computing System for Multiplexing Logic Operations.

  2020cites this paper
• On reaction network implementations of neural networks

  2020cites this paper
• A Theory of Natural Universal Computation Through RNA

  2020cites this paper
• An RNA-Based Theory of Natural Universal Computation.

  2020cites this paper
• Turing Computability of the Fourier Transform of Bandlimited Functions

  2019cites this paper
• The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis

  2019cites this paper
• Native Chemical Automata and the Thermodynamic Interpretation of Their Experimental Accept/Reject Responses

  2019cites this paper
• Molecular and DNA Artificial Neural Networks via Fractional Coding

  2019cites this paper
• Probing complexity: thermodynamics and computational mechanics approaches to origins studies

  2019cites this paper
• Predicting thermophysical properties and flow characteristics of nanofluids using intelligent methods: focusing on ANN methods

  2019cites this paper
• A reaction network scheme for hidden Markov model parameter learning

  2019cites this paper
• Levels of biological plausibility

  2019cites this paper
• A Dynamical Biomolecular Neural Network

  2019cites this paper
• Sufficiency condition for output-oblivious chemical reaction networks and run-time analysis

  2019cites this paper
• Polar Coding with Chemical Reaction Networks for Molecular Communications

  2019cites this paper
• E T ] 2 2 Ju n 20 19 A reaction network scheme which implements inference and learning for Hidden Markov Models

  2019cites this paper
• Wave Computing with Passive Memristive Networks

  2019cites this paper
• How Chemistry Computes: Language Recognition by Non-Biochemical Chemical Automata. From Finite Automata to Turing Machines

  2019cites this paper
• From chemical soup to computing circuit: transforming a contiguous chemical medium into a logic gate network by modulating its external conditions

  2019cites this paper
• Modeling somatic computation with non-neural bioelectric networks

  2019cites this paper
• DNA Computing and Molecular Programming: 25th International Conference, DNA 25, Seattle, WA, USA, August 5–9, 2019, Proceedings

  2019influential citation
• Chapter 8 : Nanocomputing

  2019cites this paper
• Feedforward Chemical Neural Network : An In Silico Chemical System

  2018cites this paper
• A reaction network scheme which implements the EM algorithm

  2018cites this paper
• Computing Mathematical Functions using DNA via Fractional Coding

  2018cites this paper
• The influence of computational traits on the natural selection of the nervous system

  2018cites this paper
• CRN++: Molecular programming language

  2018cites this paper
• Dynamic modulation of external conditions can transform chemistry into logic gates

  2018cites this paper
• The influence of computational traits on the natural selection of the nervous system

  2018cites this paper
• Output-Oblivious Stochastic Chemical Reaction Networks

  2018cites this paper
• Chemical Computing Through Simulated Evolution

  2018cites this paper
• Molecular computing for Markov chains

  2018cites this paper
• Robust Chemical Circuits

  2018cites this paper
• Embodying probabilistic inference in biochemical circuits

  2018cites this paper
• Enzyme-free nucleic acid dynamical systems

  2017cites this paper
• Sensing Parameters of a Time Dependent Inflow with an Enzymatic Reaction

  2017cites this paper
• Strong Turing Completeness of Continuous Chemical Reaction Networks and Compilation of Mixed Analog-Digital Programs

  2017cites this paper
• Feedforward Chemical Neural Network: An In Silico Chemical System That Learns xor

  2017cites this paper