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

Year Number of Results
1952 1
1953 1
1958 1
1960 1
1962 5
1963 4
1964 9
1965 6
1966 6
1967 13
1968 25
1969 20
1970 23
1971 18
1972 24
1973 35
1974 24
1975 52
1976 39
1977 41
1978 43
1979 58
1980 63
1981 54
1982 70
1983 87
1984 119
1985 108
1986 116
1987 144
1988 161
1989 170
1990 242
1991 327
1992 425
1993 559
1994 610
1995 779
1996 925
1997 946
1998 1117
1999 1230
2000 1322
2001 1498
2002 1486
2003 1774
2004 2264
2005 2602
2006 2845
2007 3067
2008 3348
2009 3772
2010 3947
2011 4281
2012 4389
2013 4710
2014 5038
2015 5302
2016 5395
2017 5933
2018 7514
2019 9024
2020 11201
2021 14744
2022 17492
2023 15193
2024 6568
2025 2

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136,780 results

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Page 1
Neuromorphic computing hardware and neural architectures for robotics.
Sandamirskaya Y, Kaboli M, Conradt J, Celikel T. Sandamirskaya Y, et al. Sci Robot. 2022 Jun 29;7(67):eabl8419. doi: 10.1126/scirobotics.abl8419. Epub 2022 Jun 29. Sci Robot. 2022. PMID: 35767646 Review.
Neuromorphic algorithms can be further developed following neural computing principles and neural network architectures inspired by biological neural systems. ...These insights uncover computing principles, primitives, and algorithms on differen …
Neuromorphic algorithms can be further developed following neural computing principles and neural network architectures …
Deep learning.
LeCun Y, Bengio Y, Hinton G. LeCun Y, et al. Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539. Nature. 2015. PMID: 26017442 Review.
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. ...Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indic …
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multi …
Synthetic neural-like computing in microbial consortia for pattern recognition.
Li X, Rizik L, Kravchik V, Khoury M, Korin N, Daniel R. Li X, et al. Nat Commun. 2021 May 25;12(1):3139. doi: 10.1038/s41467-021-23336-0. Nat Commun. 2021. PMID: 34035266 Free PMC article.
Alternatively, artificial neural networks, comprised of flexible interactions for computation, support adaptive designs and are adopted for diverse applications. Here, motivated by the structural similarity between artificial neural networks and cellular netw …
Alternatively, artificial neural networks, comprised of flexible interactions for computation, support adaptive designs and ar …
Space-efficient optical computing with an integrated chip diffractive neural network.
Zhu HH, Zou J, Zhang H, Shi YZ, Luo SB, Wang N, Cai H, Wan LX, Wang B, Jiang XD, Thompson J, Luo XS, Zhou XH, Xiao LM, Huang W, Patrick L, Gu M, Kwek LC, Liu AQ. Zhu HH, et al. Nat Commun. 2022 Feb 24;13(1):1044. doi: 10.1038/s41467-022-28702-0. Nat Commun. 2022. PMID: 35210432 Free PMC article.
Large-scale, highly integrated and low-power-consuming hardware is becoming progressively more important for realizing optical neural networks (ONNs) capable of advanced optical computing. Traditional experimental implementations need N(2) units such as Mach-Zehnder …
Large-scale, highly integrated and low-power-consuming hardware is becoming progressively more important for realizing optical neural …
Neuromorphic computing for content-based image retrieval.
Liu TY, Mahjoubfar A, Prusinski D, Stevens L. Liu TY, et al. PLoS One. 2022 Apr 6;17(4):e0264364. doi: 10.1371/journal.pone.0264364. eCollection 2022. PLoS One. 2022. PMID: 35385477 Free PMC article.
Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency. Here, we explore …
Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous m …
The art of molecular computing: Whence and whither.
Gangadharan S, Raman K. Gangadharan S, et al. Bioessays. 2021 Aug;43(8):e2100051. doi: 10.1002/bies.202100051. Epub 2021 Jun 8. Bioessays. 2021. PMID: 34101866 Review.
These biomolecules and their circuits have been engineered not only for various industrial applications but also to perform other atypical functions that they were not evolved for-including computation. Various kinds of computational challenges, such as solving NP-c …
These biomolecules and their circuits have been engineered not only for various industrial applications but also to perform other atypical f …
Computing with neural circuits: a model.
Hopfield JJ, Tank DW. Hopfield JJ, et al. Science. 1986 Aug 8;233(4764):625-33. doi: 10.1126/science.3755256. Science. 1986. PMID: 3755256
A new conceptual framework and a minimization principle together provide an understanding of computation in model neural circuits. The circuits consist of nonlinear graded-response model neurons organized into networks with effectively symmetric synaptic connections …
A new conceptual framework and a minimization principle together provide an understanding of computation in model neural circu …
Towards spike-based machine intelligence with neuromorphic computing.
Roy K, Jaiswal A, Panda P. Roy K, et al. Nature. 2019 Nov;575(7784):607-617. doi: 10.1038/s41586-019-1677-2. Epub 2019 Nov 27. Nature. 2019. PMID: 31776490 Review.
Guided by brain-like 'spiking' computational frameworks, neuromorphic computing-brain-inspired computing for machine intelligence-promises to realize artificial intelligence while reducing the energy requirements of computing platforms. ...We discuss t …
Guided by brain-like 'spiking' computational frameworks, neuromorphic computing-brain-inspired computing for machine in …
Nucleic Acid Databases and Molecular-Scale Computing.
Song X, Reif J. Song X, et al. ACS Nano. 2019 Jun 25;13(6):6256-6268. doi: 10.1021/acsnano.9b02562. Epub 2019 May 24. ACS Nano. 2019. PMID: 31117381 Review.
Besides information storage, DNA could serve as a versatile molecular computing substrate. We highlight several state-of-the-art DNA computing techniques such as strand displacement, localized hybridization chain reactions, and enzymatic reaction networks. We summar …
Besides information storage, DNA could serve as a versatile molecular computing substrate. We highlight several state-of-the-art DNA …
Nonlinear decision-making with enzymatic neural networks.
Okumura S, Gines G, Lobato-Dauzier N, Baccouche A, Deteix R, Fujii T, Rondelez Y, Genot AJ. Okumura S, et al. Nature. 2022 Oct;610(7932):496-501. doi: 10.1038/s41586-022-05218-7. Epub 2022 Oct 19. Nature. 2022. PMID: 36261553
Artificial neural networks have revolutionized electronic computing. Similarly, molecular networks with neuromorphic architectures may enable molecular decision-making on a level comparable to gene regulatory networks(1,2). ...Finally, we connect neural and l …
Artificial neural networks have revolutionized electronic computing. Similarly, molecular networks with neuromorphic architect …
136,780 results
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