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1
Biological constraints on configural odour mixture perception
In: ISSN: 0022-0949 ; EISSN: 1477-9145 ; Journal of Experimental Biology ; https://hal-cnrs.archives-ouvertes.fr/hal-03610253 ; Journal of Experimental Biology, The Company of Biologists, 2022, 225 (6), pp.jeb242274. ⟨10.1242/jeb.242274⟩ ; https://journals.biologists.com/jeb/article-abstract/225/6/jeb242274/274695/Biological-constraints-on-configural-odour-mixture (2022)
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2
Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events.
In: Nature communications, vol 13, iss 1 (2022)
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3
Vocal size exaggeration may have contributed to the origins of vocalic complexity
In: ISSN: 0962-8436 ; EISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-03501105 ; Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2022, 377 (1841), ⟨10.1098/rstb.2020.0401⟩ (2022)
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4
Supplemental Materials from Long-range sequential dependencies precede complex syntactic production in language acquisition ...
Sainburg, Tim; Mai, Anna; Gentner, Timothy Q.. - : The Royal Society, 2022
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5
Supplemental Materials from Long-range sequential dependencies precede complex syntactic production in language acquisition ...
Sainburg, Tim; Mai, Anna; Gentner, Timothy Q.. - : The Royal Society, 2022
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6
Do Chimpanzees Reason According to the Disjunctive Syllogism? ...
Haux, Lou. - : Open Science Framework, 2022
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7
Supplementary material from "Gesture is the primary modality for language creation" ...
Fay, Nicolas; Walker, Bradley; Ellison, T. Mark. - : The Royal Society, 2022
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8
Supplementary material from "Gesture is the primary modality for language creation" ...
Fay, Nicolas; Walker, Bradley; Ellison, T. Mark. - : The Royal Society, 2022
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9
Affective State Recognition in Livestock—Artificial Intelligence Approaches
In: Animals; Volume 12; Issue 6; Pages: 759 (2022)
Abstract: Farm animals, numbering over 70 billion worldwide, are increasingly managed in large-scale, intensive farms. With both public awareness and scientific evidence growing that farm animals experience suffering, as well as affective states such as fear, frustration and distress, there is an urgent need to develop efficient and accurate methods for monitoring their welfare. At present, there are not scientifically validated ‘benchmarks’ for quantifying transient emotional (affective) states in farm animals, and no established measures of good welfare, only indicators of poor welfare, such as injury, pain and fear. Conventional approaches to monitoring livestock welfare are time-consuming, interrupt farming processes and involve subjective judgments. Biometric sensor data enabled by artificial intelligence is an emerging smart solution to unobtrusively monitoring livestock, but its potential for quantifying affective states and ground-breaking solutions in their application are yet to be realized. This review provides innovative methods for collecting big data on farm animal emotions, which can be used to train artificial intelligence models to classify, quantify and predict affective states in individual pigs and cows. Extending this to the group level, social network analysis can be applied to model emotional dynamics and contagion among animals. Finally, ‘digital twins’ of animals capable of simulating and predicting their affective states and behaviour in real time are a near-term possibility.
Keyword: affective states; animal emotions; animal welfare; animal-based measures; emotion modelling; sensors
URL: https://doi.org/10.3390/ani12060759
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10
Association between Pet Ownership and Mental Health and Well-Being of Canadians Assessed in a Cross-Sectional Study during the COVID-19 Pandemic
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2215 (2022)
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11
Evaluation of the cvfreq: novel index for the degree of frequency modulation of each syllable using USVSEG ...
Kanno, Kouta. - : figshare, 2022
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12
Evaluation of the cvfreq: novel index for the degree of frequency modulation of each syllable using USVSEG ...
Kanno, Kouta. - : figshare, 2022
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13
Supplementary material from "Long-range sequential dependencies precede complex syntactic production in language acquisition" ...
Sainburg, Tim; Mai, Anna; Gentner, Timothy Q.. - : The Royal Society, 2022
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14
Supplementary material from "Long-range sequential dependencies precede complex syntactic production in language acquisition" ...
Sainburg, Tim; Mai, Anna; Gentner, Timothy Q.. - : The Royal Society, 2022
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15
Can dogs communicate through AIC devices? Anecdotal video evidence for dog language-based communication ...
Bastos, Amalia. - : Open Science Framework, 2022
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16
The Orientalist Semiotics of "Dune": Religious and Historical References within Frank Herbert's Universe
Jacob, Frank. - : Büchner-Verlag, 2022. : DEU, 2022. : Marburg, 2022
In: 117 (2022)
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17
From Beethoven to Beyoncé : do changing aesthetic cultures amount to ‘cumulative cultural evolution’?
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18
Inferential communication : bridging the gap between intentional and ostensive communication in non-human primates
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19
Computational bioacoustics with deep learning: a review and roadmap
In: PeerJ (2022)
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20
Multilingual validation of the short form of the Unesp-Botucatu Feline Pain Scale (UFEPS-SF)
In: PeerJ (2022)
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