Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1987 1
1988 1
1989 2
1990 1
1996 1
1997 2
1998 1
1999 1
2002 1
2004 2
2005 3
2006 4
2008 1
2009 7
2010 1
2011 7
2012 3
2013 1
2014 1
2015 3
2016 3
2017 1
2018 5
2019 6
2020 8
2021 2
2022 9
2023 5
2024 6

Text availability

Article attribute

Article type

Publication date

Search Results

81 results

Results by year

Filters applied: . Clear all
Page 1
Quantum annealing algorithms for Boolean tensor networks.
Pelofske E, Hahn G, O'Malley D, Djidjev HN, Alexandrov BS. Pelofske E, et al. Sci Rep. 2022 May 20;12(1):8539. doi: 10.1038/s41598-022-12611-9. Sci Rep. 2022. PMID: 35595786 Free PMC article.
In this contribution, we explore the potential and effectiveness of such quantum annealers for computing Boolean tensor networks. Tensors offer a natural way to model high-dimensional data commonplace in many scientific fields, and representing a binary tensor as a …
In this contribution, we explore the potential and effectiveness of such quantum annealers for computing Boolean tensor networks. Ten …
Subrecursive neural networks.
Šíma J. Šíma J. Neural Netw. 2019 Aug;116:208-223. doi: 10.1016/j.neunet.2019.04.019. Epub 2019 May 20. Neural Netw. 2019. PMID: 31121419
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function (with Boolean outputs 0 or 1) are equivalent to finite automata (level 3 in the Chomsky hierarchy), while analog-state NNs with ratio …
It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function …
Mechanical integrated circuit materials.
El Helou C, Grossmann B, Tabor CE, Buskohl PR, Harne RL. El Helou C, et al. Nature. 2022 Aug;608(7924):699-703. doi: 10.1038/s41586-022-05004-5. Epub 2022 Aug 24. Nature. 2022. PMID: 36002486
Yet, information processing is the key functional element of autonomous engineered matter that has been recently explored through unconventional techniques with limited computing scalability(17-20). Here we uncover a relation between Boolean mathematics and kinematically r …
Yet, information processing is the key functional element of autonomous engineered matter that has been recently explored through unconventi …
Protease circuits for processing biological information.
Holt BA, Kwong GA. Holt BA, et al. Nat Commun. 2020 Oct 6;11(1):5021. doi: 10.1038/s41467-020-18840-8. Nat Commun. 2020. PMID: 33024117 Free PMC article.
We first construct peptide-caged liposomes that treat protease activity as two-valued (i.e., signal is 0 or 1) operations to construct the biological equivalent of Boolean logic gates, comparators and analog-to-digital converters. ...These results show that protease …
We first construct peptide-caged liposomes that treat protease activity as two-valued (i.e., signal is 0 or 1) operations to construc …
A compositional framework for Boolean networks.
Alkhudhayr H, Steggles J. Alkhudhayr H, et al. Biosystems. 2019 Dec;186:103960. doi: 10.1016/j.biosystems.2019.04.004. Epub 2019 Apr 22. Biosystems. 2019. PMID: 31022423
Boolean networks are a widely used qualitative approach for modelling and analysing biological systems. ...In this paper we set out to facilitate the construction and analysis of large scale biological models by developing a formal framework for the composition of Boole
Boolean networks are a widely used qualitative approach for modelling and analysing biological systems. ...In this paper we set out t
Simultaneous G-Quadruplex DNA Logic.
Bader A, Cockroft SL. Bader A, et al. Chemistry. 2018 Apr 3;24(19):4820-4824. doi: 10.1002/chem.201800756. Epub 2018 Mar 7. Chemistry. 2018. PMID: 29446498
A fundamental principle of digital computer operation is Boolean logic, where inputs and outputs are described by binary integer voltages. ...This work reports three G-quadruplex-based logic gates that operate simultaneously in a single reaction vessel …
A fundamental principle of digital computer operation is Boolean logic, where inputs and outputs are described by binary
Sheffer operation in relational systems.
Chajda I, Länger H. Chajda I, et al. Soft comput. 2022;26(1):89-97. doi: 10.1007/s00500-021-06466-x. Epub 2021 Nov 17. Soft comput. 2022. PMID: 35058735 Free PMC article.
The concept of a Sheffer operation known for Boolean algebras and orthomodular lattices is extended to arbitrary directed relational systems with involution. ...Hence, investigations of these relational systems can be transformed to the treatment of special groupoid …
The concept of a Sheffer operation known for Boolean algebras and orthomodular lattices is extended to arbitrary directed rela …
Parallel repulsive logic regression with biological adjacency.
Yoneoka D, Im C, Yasui Y. Yoneoka D, et al. Biostatistics. 2020 Oct 1;21(4):825-844. doi: 10.1093/biostatistics/kxz011. Biostatistics. 2020. PMID: 31030217 Free PMC article.
Logic regression, an extension of generalized linear models with Boolean combinations of binary variables as predictors, is a useful tool in exploring interactions among single-nucleotide polymorphisms (SNPs) in genome-wide association studies. However, since the se …
Logic regression, an extension of generalized linear models with Boolean combinations of binary variables as predictors, is a …
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines.
Li X, Wang J, Kwong S. Li X, et al. Neural Netw. 2022 Sep;153:142-151. doi: 10.1016/j.neunet.2022.06.006. Epub 2022 Jun 9. Neural Netw. 2022. PMID: 35728336
This paper presents a collaborative neurodynamic approach to Boolean matrix factorization. Based on a binary optimization formulation to minimize the Hamming distance between a given data matrix and its low-rank reconstruction, the proposed approach employs a popula …
This paper presents a collaborative neurodynamic approach to Boolean matrix factorization. Based on a binary optimization form …
Boolean Logic Gates Realized with Enzyme-catalyzed Reactions - Unusual Look at Usual Chemical Reactions.
Katz E. Katz E. Chemphyschem. 2019 Jan 7;20(1):9-22. doi: 10.1002/cphc.201800900. Epub 2018 Nov 20. Chemphyschem. 2019. PMID: 30358034 Review.
Research in the area of molecular computing systems, in the general framework of unconventional computing, has received high attention and resulted in rapid progress in formulating signal-controlled switchable molecules capable to perform Boolean logic operations an …
Research in the area of molecular computing systems, in the general framework of unconventional computing, has received high attention and r …
81 results