Results 91 to 100 of about 1,156,059 (330)
Detecting controlling nodes of boolean regulatory networks [PDF]
EURASIP Journal on Bioinformatics and Systems Biology, 2011 Boolean models of regulatory networks are assumed to be tolerant to perturbations. That qualitatively implies that each function can only depend on a few nodes. Biologically motivated constraints further show that functions found in Boolean regulatory networks belong to certain classes of functions, for example, the unate functions.
Schober, Steffen +3 more
openaire +2 more sources
Advanced Science, EarlyView.A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
Boolean Models of Bistable Biological Systems
, 2009 This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick +16 more
core +1 more source
Advanced Science, EarlyView.We propose an optical ferroelectric field‐effect transistor, composed of a MoS2/CIPS heterostructure, demonstrates the feasibility of all‐optical nonvolatile memory, neuromorphic computing, and logic‐in‐memory operations. The device exhibits reversible light‐controlled memory states, retina‐like synaptic plasticity, and wavelength‐selective ...
Jingjie Niu +7 more
wiley +1 more source
Entropy of complex relevant components of Boolean networks
, 2007 Boolean network models of strongly connected modules are capable of capturing the high regulatory complexity of many biological gene regulatory circuits.
A. Faure +6 more
core +1 more source
Advanced Science, EarlyView.A plasmonic optoelectronic memristor based on Te nanowires‐Au nanoparticles/ι‐carrageenan enables IR‐programmed and visiblelight‐erased non‐volatile conductance. The all‐photonic write/erase scheme supports in‐sensor logic and real‐time motion detection in darkness.
Jingyao Bian +7 more
wiley +1 more source
A Boolean complete neural model of adaptive behavior [PDF]
, 1982 A multi-layered neural assembly is developed which has the capability of learning arbitrary Boolean functions. Though the model neuron is more powerful than those previously considered, assemblies of neurons are needed to detect non-linearly separable ...
Hampson, Steve, Kibler, Dennis
core +1 more source
Using synchronous Boolean networks to model several phenomena of collective behavior
, 2014 In this paper, we propose an approach for modeling and analysis of a number of phenomena of collective behavior. By collectives we mean multi-agent systems that transition from one state to another at discrete moments of time. The behavior of a member of
Kochemazov, Stepan, Semenov, Alexander
core +4 more sources
Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures
Advanced Science, EarlyView.ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong +16 more
wiley +1 more source
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks
IEEE Access, 2020 In this article, a reinforcement learning (RL)-based scalable technique is presented to control the probabilistic Boolean control networks (PBCNs). In particular, a double deep- $Q$ network (DD $Q\text{N}$ ) approach is firstly proposed to address the ...
A. Acernese +3 more
semanticscholar +1 more source