Design and simulation of a multilayer chemical neural network that learns via backpropagation
MR Lakin - Artificial Life, 2023 - direct.mit.edu
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 …
Novel Nano-Scale Computing Unit for the IoBNT: Concept and Practical Considerations
S Angerbauer, F Enzenhofer, T Pankratz… - … Biological, and Multi …, 2024 - ieeexplore.ieee.org
The Internet of Bio-Nano Things (IoBNT) is a novel framework that has the potential to
enable transformative applications in healthcare and nano-medicine. It consists of artificial …
enable transformative applications in healthcare and nano-medicine. It consists of artificial …
[HTML][HTML] Synthetic biological neural networks: From current implementations to future perspectives
AH Vasle, M Moškon - Biosystems, 2024 - Elsevier
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 …
Reachability in restricted chemical reaction networks
The popularity of molecular computation has given rise to several models of abstraction, one
of the more recent ones being Chemical Reaction Networks (CRNs). These are equivalent …
of the more recent ones being Chemical Reaction Networks (CRNs). These are equivalent …
Automatic Implementation of Neural Networks through Reaction Networks--Part I: Circuit Design and Convergence Analysis
Information processing relying on biochemical interactions in the cellular environment is
essential for biological organisms. The implementation of molecular computational systems …
essential for biological organisms. The implementation of molecular computational systems …
Recurrent neural chemical reaction networks that approximate arbitrary dynamics
Many important phenomena in chemistry and biology are realized via dynamical features
such as multi-stability, oscillations, and chaos. Construction of novel chemical systems with …
such as multi-stability, oscillations, and chaos. Construction of novel chemical systems with …
On the Runtime of Chemical Reaction Networks Beyond Idealized Conditions
A Condon, Y Emek, N Harlev - arXiv preprint arXiv:2307.00647, 2023 - arxiv.org
This paper studies the (discrete)\emph {chemical reaction network (CRN)} computational
model that emerged in the last two decades as an abstraction for molecular programming …
model that emerged in the last two decades as an abstraction for molecular programming …
Chemical relaxation oscillator designed to control molecular computation
Embedding efficient calculation instructions into biochemical system has always been a
research focus in synthetic biology. One of the key problems is how to sequence the …
research focus in synthetic biology. One of the key problems is how to sequence the …
Automatic Implementation of Neural Networks through Reaction Networks--Part II: Error Analysis
This paired article aims to develop an automated and programmable biochemical fully
connected neural network (BFCNN) with solid theoretical support. In Part I, a concrete …
connected neural network (BFCNN) with solid theoretical support. In Part I, a concrete …
The computational power of discrete chemical reaction networks with bounded executions
D Doty, B Heckmann - arXiv preprint arXiv:2405.08649, 2024 - arxiv.org
Chemical reaction networks (CRNs) model systems where molecules interact according to a
finite set of reactions such as (A+ B\to C), representing that if a molecule of (A) and (B) …
finite set of reactions such as (A+ B\to C), representing that if a molecule of (A) and (B) …