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

Year Number of Results
1972 1
1973 1
1975 1
1978 1
1980 1
1981 2
1982 5
1985 5
1986 1
1987 7
1988 11
1989 5
1990 8
1991 7
1992 12
1993 20
1994 21
1995 14
1996 24
1997 31
1998 33
1999 27
2000 41
2001 46
2002 47
2003 72
2004 82
2005 120
2006 137
2007 132
2008 158
2009 203
2010 194
2011 217
2012 199
2013 242
2014 248
2015 264
2016 241
2017 229
2018 262
2019 284
2020 301
2021 321
2022 350
2023 306
2024 98

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4,546 results

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Page 1
p-Adic morphology, biomorphic structures and number theory.
Ignatov VV. Ignatov VV. Biosystems. 2021 Jul;205:104404. doi: 10.1016/j.biosystems.2021.104404. Epub 2021 Mar 27. Biosystems. 2021. PMID: 33785383
The purpose of this article is to establish a link between number theory and morphology and to justify the possibility of using p-adic arithmetic to model biological forms. ...The article also introduces the concept of omega-classes of natural numbers, which …
The purpose of this article is to establish a link between number theory and morphology and to justify the possibility of usin …
A review of predictive coding algorithms.
Spratling MW. Spratling MW. Brain Cogn. 2017 Mar;112:92-97. doi: 10.1016/j.bandc.2015.11.003. Epub 2016 Jan 19. Brain Cogn. 2017. PMID: 26809759 Free article. Review.
Predictive coding is a leading theory of how the brain performs probabilistic inference. However, there are a number of distinct algorithms which are described by the term "predictive coding". This article provides a concise review of these different predicti …
Predictive coding is a leading theory of how the brain performs probabilistic inference. However, there are a number of distin …
Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.
Hernández-Orozco S, Zenil H, Riedel J, Uccello A, Kiani NA, Tegnér J. Hernández-Orozco S, et al. Front Artif Intell. 2021 Jan 25;3:567356. doi: 10.3389/frai.2020.567356. eCollection 2020. Front Artif Intell. 2021. PMID: 33733213 Free PMC article.
We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current research. ...In doing so we use examples which enable the two approaches to be compared (small, given the computational power required for estim …
We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current rese …
Adaptive ensemble simulations of biomolecules.
Kasson PM, Jha S. Kasson PM, et al. Curr Opin Struct Biol. 2018 Oct;52:87-94. doi: 10.1016/j.sbi.2018.09.005. Epub 2018 Sep 25. Curr Opin Struct Biol. 2018. PMID: 30265901 Free PMC article. Review.
Ensemble simulations are now widely used to compute a number of individual simulation trajectories and analyze statistics across them. Adaptive ensemble simulations offer a further level of sophistication and flexibility by enabling high-level algorithms to control …
Ensemble simulations are now widely used to compute a number of individual simulation trajectories and analyze statistics across them …
Decision theory with resource-bounded agents.
Halpern JY, Pass R, Seeman L. Halpern JY, et al. Top Cogn Sci. 2014 Apr;6(2):245-57. doi: 10.1111/tops.12088. Top Cogn Sci. 2014. PMID: 24764140 Free article. Review.
We review recent work on applying both approaches in the context of decision theory. For the first approach, we take the objects of choice in a decision problem to be Turing machines, and charge players for the "complexity" of the Turing machine chosen (e.g., its running t …
We review recent work on applying both approaches in the context of decision theory. For the first approach, we take the objects of c …
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation.
Yu X, Li B, He W, Feng Y, Cheng L, Silvestre C. Yu X, et al. IEEE Trans Cybern. 2022 Dec;52(12):13237-13249. doi: 10.1109/TCYB.2021.3107357. Epub 2022 Nov 18. IEEE Trans Cybern. 2022. PMID: 34570713
Human-robot co-transportation allows for a human and a robot to perform an object transportation task cooperatively on a shared environment. This range of applications raises a great number of theoretical and practical challenges arising mainly from the unknown human-robot …
Human-robot co-transportation allows for a human and a robot to perform an object transportation task cooperatively on a shared environment. …
Gate-based quantum computing for protein design.
Khatami MH, Mendes UC, Wiebe N, Kim PM. Khatami MH, et al. PLoS Comput Biol. 2023 Apr 12;19(4):e1011033. doi: 10.1371/journal.pcbi.1011033. eCollection 2023 Apr. PLoS Comput Biol. 2023. PMID: 37043517 Free PMC article.
However, exploring all possible combinations of amino acids is generally impossible due to the exponential growth of possibilities with the number of designable sites. The present work introduces circuits implementing a pure quantum approach, Grover's algorithm, to …
However, exploring all possible combinations of amino acids is generally impossible due to the exponential growth of possibilities with the …
Quantum Neural Networks and Topological Quantum Field Theories.
Marcianò A, Chen D, Fabrocini F, Fields C, Greco E, Gresnigt N, Jinklub K, Lulli M, Terzidis K, Zappala E. Marcianò A, et al. Neural Netw. 2022 Sep;153:164-178. doi: 10.1016/j.neunet.2022.05.028. Epub 2022 Jun 7. Neural Netw. 2022. PMID: 35724478 Free article.
Our work intends to show that: (1) Quantum Neural Networks (QNNs) can be mapped onto spin-networks, with the consequence that the level of analysis of their operation can be carried out on the side of Topological Quantum Field Theory (TQFT); (2) A number of Machine …
Our work intends to show that: (1) Quantum Neural Networks (QNNs) can be mapped onto spin-networks, with the consequence that the level of a …
Sensitivity of Sparse Codes to Image Distortions.
Luther K, Seung HS. Luther K, et al. Neural Comput. 2022 Jun 16;34(7):1616-1635. doi: 10.1162/neco_a_01513. Neural Comput. 2022. PMID: 35671463
Sparse coding has been proposed as a theory of visual cortex and as an unsupervised algorithm for learning representations. ...A nearest-neighbor classifier is shown to perform worse on sparse codes than original images. For a linear classifier with a sufficiently l …
Sparse coding has been proposed as a theory of visual cortex and as an unsupervised algorithm for learning representations. .. …
Generalization Performance of Quantum Metric Learning Classifiers.
Kim J, Bekiranov S. Kim J, et al. Biomolecules. 2022 Oct 27;12(11):1576. doi: 10.3390/biom12111576. Biomolecules. 2022. PMID: 36358927 Free PMC article.
Quantum computing holds great promise for a number of fields including biology and medicine. A major application in which quantum computers could yield advantage is machine learning, especially kernel-based approaches. ...We applied the original approach as well as variant …
Quantum computing holds great promise for a number of fields including biology and medicine. A major application in which quantum com …
4,546 results