Results 51 to 60 of about 167,571 (284)
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
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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
An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 Boolean networks are conventionally used to represent and simulate gene regulatory networks. In the analysis of the dynamic of a Boolean network, the attractors are the objects of a special attention.
Tarek Khaled, Belaïd Benhamou
doaj +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
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Iraqi Journal for Computer Science and Mathematics, 2022 The Boolean Satisfiability Problem (BSAT) is one of the most important decision problems in mathematical logic and computational sciences for determining whether or not a solution to a Boolean formula.. Hopfield neural network (HNN) is one of the major
Hamza Abubakar +2 more
doaj +1 more source
On the Robustness of NK-Kauffman Networks Against Changes in their Connections and Boolean Functions
, 2009 NK-Kauffman networks {\cal L}^N_K are a subset of the Boolean functions on N Boolean variables to themselves, \Lambda_N = {\xi: \IZ_2^N \to \IZ_2^N}. To each NK-Kauffman network it is possible to assign a unique Boolean function on N variables through ...
de Visser J. A. G. M. +4 more
core +1 more source
Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations
Advanced Materials Interfaces, EarlyView.This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang +6 more
wiley +1 more source
ACCELERATION OF BOOLEAN GENE REGULATORY NETWORKS ANALYSIS USING FPGA
Сучасні інформаційні системи, 2023 Gene expression does not occur arbitrarily and spontaneously, it obeys certain patterns that can be expressed as a connected graph or network. The disclosure of these patterns requires a large amount of experimental research and accumulation of ...
Oleg Vasylchenkov +2 more
doaj +1 more source
Boolean networks with reliable dynamics [PDF]
Physical Review E, 2009 11 Pages, 15 ...
Peixoto, Tiago P., Drossel, Barbara
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