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

Year Number of Results
1840 1
1842 1
1846 1
1851 1
1852 1
1860 1
1861 1
1871 2
1873 2
1881 1
1883 1
1884 2
1885 1
1887 1
1888 1
1890 3
1891 3
1892 1
1893 2
1894 1
1895 1
1896 1
1897 4
1898 1
1900 3
1905 1
1911 1
1913 4
1914 2
1915 1
1917 2
1918 1
1919 1
1920 6
1922 1
1924 4
1925 1
1926 2
1927 2
1928 3
1929 2
1933 5
1934 3
1935 3
1936 3
1939 2
1941 2
1942 4
1943 4
1944 1
1945 36
1946 145
1947 137
1948 196
1949 204
1950 313
1951 429
1952 512
1953 558
1954 635
1955 616
1956 688
1957 755
1958 784
1959 788
1960 800
1961 978
1962 1155
1963 1402
1964 1993
1965 2373
1966 2270
1967 2675
1968 3105
1969 2547
1970 2682
1971 3170
1972 3276
1973 3634
1974 3686
1975 3610
1976 3550
1977 3371
1978 3537
1979 3913
1980 3791
1981 3830
1982 4307
1983 4245
1984 4427
1985 4587
1986 4708
1987 4543
1988 4754
1989 5484
1990 6275
1991 6136
1992 6469
1993 7014
1994 7331
1995 7574
1996 8187
1997 8602
1998 9384
1999 9713
2000 10875
2001 11680
2002 12427
2003 13352
2004 15916
2005 17489
2006 19884
2007 21591
2008 23501
2009 25080
2010 26635
2011 30021
2012 32372
2013 34630
2014 37131
2015 39529
2016 41678
2017 44750
2018 50196
2019 55909
2020 69164
2021 84751
2022 93644
2023 95520
2024 105328
2025 128370
2026 69597
2027 1
2028 1

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1,247,038 results

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Page 1
Learning to Be Conscious.
Cleeremans A, Achoui D, Beauny A, Keuninckx L, Martin JR, Muñoz-Moldes S, Vuillaume L, de Heering A. Cleeremans A, et al. Trends Cogn Sci. 2020 Feb;24(2):112-123. doi: 10.1016/j.tics.2019.11.011. Epub 2019 Dec 28. Trends Cogn Sci. 2020. PMID: 31892458 Review.
Here, appealing to aspects of global workspace theory, higher-order theories, social theories, and predictive processing, we introduce a novel framework: the self-organizing metarerpresentational account (SOMA), in which consciousness is viewed as something that the brain lear …
Here, appealing to aspects of global workspace theory, higher-order theories, social theories, and predictive processing, we introduce a nov …
Song learning and plasticity in songbirds.
Rundstrom P, Creanza N. Rundstrom P, et al. Curr Opin Neurobiol. 2021 Apr;67:228-239. doi: 10.1016/j.conb.2021.02.003. Epub 2021 Mar 3. Curr Opin Neurobiol. 2021. PMID: 33667874 Review.
Birdsong provides a fascinating system to study both behavioral and neural plasticity. Oscine songbirds learn to sing, exhibiting behavioral plasticity both during and after the song-learning process. As a bird learns, its song progresses from a plastic and h …
Birdsong provides a fascinating system to study both behavioral and neural plasticity. Oscine songbirds learn to sing, exhibiting beh …
The many functions of vocal learning.
Carouso-Peck S, Goldstein MH, Fitch WT. Carouso-Peck S, et al. Philos Trans R Soc Lond B Biol Sci. 2021 Oct 25;376(1836):20200235. doi: 10.1098/rstb.2020.0235. Epub 2021 Sep 6. Philos Trans R Soc Lond B Biol Sci. 2021. PMID: 34482721 Free PMC article. Review.
Here, we survey the diverse usages and proposed functions of learned novel signals, to build a framework for considering the evolution of vocal learning capacities that extends beyond sexual selection. ...This article is part of the theme issue 'Vocal learning …
Here, we survey the diverse usages and proposed functions of learned novel signals, to build a framework for considering the evolutio …
Sleep-learning impairs subsequent awake-learning.
Ruch S, Alain Züst M, Henke K. Ruch S, et al. Neurobiol Learn Mem. 2022 Jan;187:107569. doi: 10.1016/j.nlm.2021.107569. Epub 2021 Dec 1. Neurobiol Learn Mem. 2022. PMID: 34863922 Free article.
Then, participants took five runs of paired-associative learning to probe carry-over effects of sleep-learning on awake-learning. Surprisingly, sleep-learning diminished awake-learning when participants learned semantic associations that …
Then, participants took five runs of paired-associative learning to probe carry-over effects of sleep-learning on awake-lea …
Learning to represent visual input.
Hinton GE. Hinton GE. Philos Trans R Soc Lond B Biol Sci. 2010 Jan 12;365(1537):177-84. doi: 10.1098/rstb.2009.0200. Philos Trans R Soc Lond B Biol Sci. 2010. PMID: 20008395 Free PMC article. Review.
One of the central problems in computational neuroscience is to understand how the object-recognition pathway of the cortex learns a deep hierarchy of nonlinear feature detectors. Recent progress in machine learning shows that it is possible to learn deep hie …
One of the central problems in computational neuroscience is to understand how the object-recognition pathway of the cortex learns a …
Learning and Memory in Drosophila Larvae.
Weber D, Richter V, Rohwedder A, Großjohann A, Thum AS. Weber D, et al. Cold Spring Harb Protoc. 2023 Mar 1;2023(3):107863-pdb.top. doi: 10.1101/pdb.top107863. Cold Spring Harb Protoc. 2023. PMID: 36180213
To adapt to changes in the environment, larvae are able to learn to categorize some of these sensory impressions as "good" or "bad." Depending on their relevance and reliability, the larva learns them and constantly updates these memories. ...Combining behavioral te …
To adapt to changes in the environment, larvae are able to learn to categorize some of these sensory impressions as "good" or "bad." …
Conceptual learning by miniature brains.
Avarguès-Weber A, Giurfa M. Avarguès-Weber A, et al. Proc Biol Sci. 2013 Oct 9;280(1772):20131907. doi: 10.1098/rspb.2013.1907. Print 2013 Dec 7. Proc Biol Sci. 2013. PMID: 24107530 Free PMC article. Review.
Concepts act as a cornerstone of human cognition. Humans and non-human primates learn conceptual relationships such as 'same', 'different', 'larger than', 'better than', among others. ...We review here evidence about concept learning in honeybees and discuss both it …
Concepts act as a cornerstone of human cognition. Humans and non-human primates learn conceptual relationships such as 'same', 'diffe …
Learning of irrelevant stimulus-response associations modulates cognitive control.
Xia X, Guo M, Wang L. Xia X, et al. Neuroimage. 2023 Aug 1;276:120206. doi: 10.1016/j.neuroimage.2023.120206. Epub 2023 May 30. Neuroimage. 2023. PMID: 37263453 Free article.
The other is the irrelevant stimulus-response learning account (the brain learns the probability of irrelevant stimulus-response associations and uses it to prepare responses). Previous fMRI studies have detected the brain regions that contribute to the control-l …
The other is the irrelevant stimulus-response learning account (the brain learns the probability of irrelevant stimulus-respon …
Learning attentional templates for value-based decision-making.
Jahn CI, Markov NT, Morea B, Daw ND, Ebitz RB, Buschman TJ. Jahn CI, et al. Cell. 2024 Mar 14;187(6):1476-1489.e21. doi: 10.1016/j.cell.2024.01.041. Epub 2024 Feb 23. Cell. 2024. PMID: 38401541 Free PMC article.
It is guided by an "attentional template" that represents the stimulus features that are currently relevant. To understand how the brain learns and uses templates, we trained monkeys to perform a visual search task that required them to repeatedly learn new attentio …
It is guided by an "attentional template" that represents the stimulus features that are currently relevant. To understand how the brain …
Learning to suppress a location is configuration-dependent.
Gao Y, de Waard J, Theeuwes J. Gao Y, et al. Atten Percept Psychophys. 2023 Oct;85(7):2170-2177. doi: 10.3758/s13414-023-02732-2. Epub 2023 May 31. Atten Percept Psychophys. 2023. PMID: 37258893 Free PMC article.
Here, we asked whether this suppression effect due to statistical learning is dependent on the specific configuration within which it was learned. The current study employed the additional singleton paradigm using search arrays that had a configuration consisting of …
Here, we asked whether this suppression effect due to statistical learning is dependent on the specific configuration within which it …
1,247,038 results
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