Results 51 to 60 of about 140,409 (275)
Concepts in Boolean network modeling: What do they all mean?
Computational and Structural Biotechnology Journal, 2020 Boolean network models are one of the simplest models to study complex dynamic behavior in biological systems. They can be applied to unravel the mechanisms regulating the properties of the system or to identify promising intervention targets.
Julian D. Schwab +4 more
doaj +1 more source
From quantitative SBML models to Boolean networks
Applied Network Science, 2022 Modelling complex biological systems is necessary for their study and understanding. Biomodels is a repository of peer-reviewed models represented in the Systems Biology Markup Language (SBML).
Athénaïs Vaginay +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco +8 more
wiley +1 more source
The Influence of Canalization on the Robustness of Boolean Networks
, 2016 Time- and state-discrete dynamical systems are frequently used to model molecular networks. This paper provides a collection of mathematical and computational tools for the study of robustness in Boolean network models.
Albert +37 more
core +1 more source
Contextual Random Boolean Networks
, 2003 We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [Gershenson, 2002] as models of contextual deterministic discrete dynamical systems. We show that changes in the context have drastic effects on the global properties of the same networks, namely the average number of attractors and the average percentage of states in ...
Gershenson Garcia, Carlos +2 more
openaire +3 more sources
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular Networks
Frontiers in Genetics, 2018 Boolean networks are important models of biochemical systems, located at the high end of the abstraction spectrum. A number of Boolean gene networks have been inferred following essentially the same method. Such a method first considers experimental data
Stalin Muñoz +7 more
doaj +1 more source
State Concentration Exponent as a Measure of Quickness in Kauffman-type Networks
, 2013 We study the dynamics of randomly connected networks composed of binary Boolean elements and those composed of binary majority vote elements. We elucidate their differences in both sparsely and densely connected cases.
Hiroyasu Ando +6 more
core +1 more source
Advanced Functional Materials, EarlyView.Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun +7 more
wiley +1 more source
Structural Controllability of Boolean Control Networks under Partial Information
Complexity, 2021 It is worth noting that both nodes’ coupling connections and logical updating functions play a vital role in state evolutions of Boolean networks (BNs).
Qinyao Pan +4 more
doaj +1 more source