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A survey on molecular-scale learning systems with relevance to DNA computing
DNA computing has emerged as a promising alternative to achieve programmable
behaviors in chemistry by repurposing the nucleic acid molecules into chemical hardware …
behaviors in chemistry by repurposing the nucleic acid molecules into chemical hardware …
[HTML][HTML] Synthetic biological neural networks: From current implementations to future perspectives
Artificial neural networks, inspired by the biological networks of the human brain, have
become game-changing computing models in modern computer science. Inspired by their …
become game-changing computing models in modern computer science. Inspired by their …
Chemical reservoir computation in a self-organizing reaction network
Chemical reaction networks, such as those found in metabolism and signalling pathways,
enable cells to process information from their environment,. Current approaches to …
enable cells to process information from their environment,. Current approaches to …
Chemical neural networks inside synthetic cells? A proposal for their realization and modeling
The exciting sci-tech arena of synthetic biology (SB) provides concepts, tools, and
approaches for fundamental revolutions in basic and applied research. SB plays a key role …
approaches for fundamental revolutions in basic and applied research. SB plays a key role …
[HTML][HTML] Prediction of hydrogen storage in metal-organic frameworks: a neural network based approach
Gas capture, sensing, and storage systems are all within the capabilities of metal–organic
frameworks (MOFs). It is common practise to choose the MOF with the best adsorption …
frameworks (MOFs). It is common practise to choose the MOF with the best adsorption …
Provenance of life: Chemical autonomous agents surviving through associative learning
We present a benchmark study of autonomous, chemical agents exhibiting associative
learning of an environmental feature. Associative learning systems have been widely …
learning of an environmental feature. Associative learning systems have been widely …
On reaction network implementations of neural networks
This paper is concerned with the utilization of deterministically modelled chemical reaction
networks for the implementation of (feed-forward) neural networks. We develop a general …
networks for the implementation of (feed-forward) neural networks. We develop a general …
Design and simulation of a multilayer chemical neural network that learns via backpropagation
The design and implementation of adaptive chemical reaction networks, capable of
adjusting their behavior over time in response to experience, is a key goal for the fields of …
adjusting their behavior over time in response to experience, is a key goal for the fields of …
Reservoir computing using DNA oscillators
This paper presents novel implementations for reservoir computing (RC) using DNA
oscillators. An RC system consists of two parts: reservoir and readout layer. The reservoir …
oscillators. An RC system consists of two parts: reservoir and readout layer. The reservoir …
A dynamical biomolecular neural network
While much of synthetic biology was founded on the creation of reusable, standardized
parts, there is now a growing interest in synthetic networks which can compute unique …
parts, there is now a growing interest in synthetic networks which can compute unique …