Controlling the occurrence sequence of reaction modules through biochemical relaxation oscillators
Embedding sequential computations in biochemical environments is challenging because the computations are carried out by chemical reactions, which are inherently disordered. In this paper we apply modular design to specific calculations through chemical reactions and provide a design scheme of biochemical oscillator models in order to generate periodical species for the order regulation of these reaction modules. We take the case of arbitrary multi-module regulation into consideration, analyze the main errors in the regulation process under \textit{mass-action kinetics} and demonstrate our design scheme under existing synthetic biochemical oscillator models.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Dynamic reshaping of functional brain networks during visual object recognition
Emerging evidence shows that the modular organization of the human brain allows for better and efficient cognitive performance. Many of these cognitive functions are very fast and occur in subsecond time scale such as th…
EEGElectroencephalogram (EEG)Object RecognitionQuantum-like Coherence Derived from the Interaction between Chemical Reaction and Its Environment
By uncovering the contrast between Artificial Intelligence and Natural-born Intelligence as a computational process, we define closed computing and open computing, and implement open computing within chemical reactions. …
ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions
In dyadic interaction, predicting the listener's facial reactions is challenging as different reactions could be appropriate in response to the same speaker's behaviour. Previous approaches predominantly treated this tas…
SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules
Large Language Models (LLMs) are central to the one-for-all intelligent paradigm, but they face a fundamental challenge when dealing with heterogeneous scientific data such as molecules: the inherent gap between discrete…
ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data
Human behaviors in real-world environments are inherently interactive, with an individual's motion shaped by surrounding agents and the scene. Such capabilities are essential for applications in virtual avatars, interact…