Results 71 to 80 of about 12,408,035 (295)

Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing

Advanced Science, EarlyView.
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh, Ji Eun Kim, Suk Yeop Chun, Su In Hwang, Byung Seok Kim, Young Jae Lee, Ho Won Jang, Jung Ho Yoon   +7 more
wiley   +1 more source

Modular Control of Boolean Network Models

Bulletin of Mathematical Biology
Abstract The concept of control is crucial for effectively understanding and applying biological network models. Key structural features relate to control functions through gene regulation, signaling, or metabolic mechanisms, and computational models need to encode these. Applications often focus on model-based control, such as in biomedicine
David Murrugarra, Alan Veliz-Cuba, Elena Dimitrova, Claus Kadelka, Matthew Wheeler, Reinhard Laubenbacher   +5 more
openaire   +5 more sources

Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation

Advanced Science, EarlyView.
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley   +1 more source

Detectability of Boolean Control Networks

, 2019
In Chap. 4, we discuss observability of Boolean control networks (BCNs). Intuitively, a BCN is observable if one can use an input sequence and the corresponding output sequence to determine the initial state. Once the initial state has been obtained, all
Kuize Zhang, Zhang, Kuize,, Lijun Zhang, Zhang, L., Lihua Xie, Xie, L.   +5 more
core   +1 more source

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

Advanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon, Ki‐Ju Park, Won‐Ju Cho, Seung‐heon Chris Baek, Joo‐Hyung Chae, Hamin Park   +8 more
wiley   +1 more source

Phenotype control and elimination of variables in Boolean networks

Peer Community Journal
We investigate how elimination of variables can affect the asymptotic dynamics and phenotype control of Boolean networks. In particular, we look at the impact on minimal trap spaces, and identify a structural condition that guarantees their preservation.
Tonello, Elisa, Paulevé, Loïc
doaj   +1 more source

Minimum-Time Control of Boolean Networks [PDF]

SIAM Journal on Control and Optimization, 2013
Boolean networks (BNs) are discrete-time dynamical systems with Boolean state variables. BNs have recently been attracting considerable interest as computational models for biological systems and, in particular, gene regulating networks. Boolean control networks (BCNs) are Boolean networks with Boolean inputs.
Dmitriy Laschov, Michael Margaliot
openaire   +2 more sources

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

Advanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee, Jihyang Park, Xinyi Wang, Yueqi Deng, Jiashu Ren, Tao Zhou   +5 more
wiley   +1 more source

Modularity-based approach identifies small sets of control nodes in synthetic and biological Boolean networks

Scientific Reports
This study investigates the problem of controlling the dynamics of biological systems to achieve desired outcomes (attractors). Specifically, we describe biological systems with Boolean models, which represent the system as a network, characterize system
Fatemeh Sadat Fatemi Nasrollahi, Eli Newby, Réka Albert   +2 more
doaj   +1 more source

Controllability and Optimal Control of Higher-Order Incomplete Boolean Control Networks With Impulsive Effects

IEEE Access, 2018
This paper investigates the controllability and optimal control of higher order incomplete Boolean control networks (BCNs) with impulsive effects by using the semi-tensor product of matrices.
Lei Deng, Shihua Fu, Ying Li, Peiyong Zhu, Hongyan Liu   +4 more
doaj   +1 more source