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103 results for “marmoset”
Sex differences in cognitive aging: a 4-year longitudinal study in marmosets.
<p>Longitudinal studies are essential to understand healthy and pathological neurocognitive aging such as Alzheimer’s Disease, but longitudinal designs are rare in both humans and non-human primate models of aging because of the difficulty of tracking cognitive change in long-lived primates. Common marmosets ( Callithrix jacchus ) are uniquely suited for aging studies due to their naturally short lifespan (10- 12 years), sophisticated cognitive and social abilities and Alzheimer Disease-like neuropathology. We report the first longitudinal study of cognitive aging in marmosets (N=28) as they transitioned from middle- (~ 5 years) to old age (~ 9 years). We characterized aging trajectories using reversal learning with different stimuli each year. Marmosets initially improved on cognitive performance due to practice, but worsened in the final year, suggesting the onset of age-related decline. Cognitive impairment emerged earlier in females than males and was more prominent for discrimination than for reversal learning. Sex differences in cognitive aging could not be explained by differences in motivation or motor abilities, which improved or remained stable across aging. Likewise, males and females did not differ in aging trajectories of overall behavior or reactivity to a social stressor, with the exception of a progressive decline in the initiation of social behavior in females. Patterns of cognitive aging were highly variable across marmosets of both sexes, suggesting the potential for pathological aging for some individuals. Future work will link individual cognitive trajectories to neuropathology in order to better understand the relationships between neuropathologic burden and vulnerability to age-related cognitive decline in each sex.</p>
Marmoset Functional Maps, "A Vocalization-Processing Network in Marmosets"
<p>Marmoset data and functional maps used in the article "A vocalization-processing network in marmosets". (Jafari et al., 2023)</p>
Linguistic law-like compression strategies emerge to maximize coding efficiency in marmoset vocal communication
<p>Human language follows statistical regularities or linguistic laws. For instance, Zipf's law of brevity states that the more frequently a word is used, the shorter it tends to be. All human languages adhere to this word structure. However, it is unclear whether Zipf's law emerged de novo in humans or whether it also exists in the non-linguistic vocal systems of our primate ancestors. Using a vocal conditioning paradigm, we examined the capacity of marmoset monkeys to efficiently encode vocalizations. We observed that marmosets adopted vocal compression strategies at three levels: (i) increasing call rate, (ii) decreasing call duration, and (iii) increasing the proportion of short calls. Our results demonstrate that marmosets, when able to freely choose what to vocalize, exhibit vocal statistical regularities consistent with Zipf's law of brevity that go beyond their context-specific natural vocal behavior. This suggests that linguistic laws emerged in non-linguistic vocal systems in the primate lineage.</p>
maDLC Marmoset Benchmark Dataset - Test
<p><a href="https://zenodo.org/record/5849371">see https://benchmark.deeplabcut.org/ for more information.</a></p>
Domestication phenotype linked to vocal behavior in marmoset monkeys
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High plasticity in marmoset monkey vocal development from infancy to adulthood
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Data from: Active vision in freely moving marmosets using head-mounted eye tracking
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Representing the dynamics of natural marmoset vocal behaviors in frontal cortex
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Laminar specificity and coverage of viral-mediated gene expression restricted to GABAergic interneurons and their parvalbumin subclass in marmoset primary visual cortex
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Linguistic law-like compression strategies emerge to maximize coding efficiency in marmoset vocal communication
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Distribution. SC Brazil in the states of Maranhao, Tocantins (E of the Rio Araguaia), SW tip of Piaui, Bahia (S of the rios Grande and Sao Francisco), Goias, Minas Gerais, N of Sao Paulo (N of the rios Tieté and Piracicaba), and NE Mato Grosso do Sul (E of the Serra de Maracaju to the level of the rios Pardo or Taquaracu, and right bank tributaries of the Rio Parana). Along with the Common Marmoset (C. jacchus), it has been introduced to the more humid Atlantic Forest on the coast of the states of Espirito Santo, Rio de Janeiro, and Santa Catarina. in Callitrichiade
Distribution. SC Brazil in the states of Maranhao, Tocantins (E of the Rio Araguaia), SW tip of Piaui, Bahia (S of the rios Grande and Sao Francisco), Goias, Minas Gerais, N of Sao Paulo (N of the rios Tieté and Piracicaba), and NE Mato Grosso do Sul (E of the Serra de Maracaju to the level of the rios Pardo or Taquaracu, and right bank tributaries of the Rio Parana). Along with the Common Marmoset (C. jacchus), it has been introduced to the more humid Atlantic Forest on the coast of the states of Espirito Santo, Rio de Janeiro, and Santa Catarina.
Distribution. Brazilian Amazon along the right bank of the lower Rio Acari and through the interfluvium of the rios Acari (in the W) and Sucunduri (to the E), S perhaps to the distribution of the Black-tailed Marmoset (M. melanurus) between the rios Aripuana and Juruena. in Callitrichiade
Distribution. Brazilian Amazon along the right bank of the lower Rio Acari and through the interfluvium of the rios Acari (in the W) and Sucunduri (to the E), S perhaps to the distribution of the Black-tailed Marmoset (M. melanurus) between the rios Aripuana and Juruena.
Subspecies and Distribution. S. w. weddelli Deville, 1849 — W Brazil (between the rios Purus and Madeira in the states of Amazonas, Acre, and NW Rondonia, as far N as the Rio Pixuna) to SE Peru (from the Rio Abujao, E tributary of the Rio Ucayali, to the S along both banks of the Rio Ucayali, E of the Andes, E of the Rio Apurimac, and along the upper reaches of the Apurimac, Inambari, Urubamba, and Tambopata), and to N Bolivia (rios Madeira and Beni or Mamoré); it crosses the upper Rio Madeira to its right bank in Rondonia in the region of the Rio Jamari, S of the Rio Ji-parana, being sympatric there with Rondon's Marmoset (Mico rondonz). S. w. crandalli Hershkovitz, 1966 — provenance unknown but possibly near the headwaters of the rios Jurua and Tarauaca in W Brazil. S. w. melanoleucus Miranda Ribeiro, 1912 — Brazilian Amazon, along the right bank of the upper Rio Jurua, S from the mouth of the Rio Eira, up to its headwaters, E to the left bank of the Rio Tarauaca (no saddle-back tamarins have been recorded to the E of the Rio Tarauaca in Acre State as far as the upper Rio Purus), in SE Peru from the upper reaches of the Rio Breu and the Quebrada Breu, right bank affluents of the upper Rio Yurua. in Callitrichiade
Subspecies and Distribution. S. w. weddelli Deville, 1849 — W Brazil (between the rios Purus and Madeira in the states of Amazonas, Acre, and NW Rondonia, as far N as the Rio Pixuna) to SE Peru (from the Rio Abujao, E tributary of the Rio Ucayali, to the S along both banks of the Rio Ucayali, E of the Andes, E of the Rio Apurimac, and along the upper reaches of the Apurimac, Inambari, Urubamba, and Tambopata), and to N Bolivia (rios Madeira and Beni or Mamoré); it crosses the upper Rio Madeira to its right bank in Rondonia in the region of the Rio Jamari, S of the Rio Ji-parana, being sympatric there with Rondon's Marmoset (Mico rondonz). S. w. crandalli Hershkovitz, 1966 — provenance unknown but possibly near the headwaters of the rios Jurua and Tarauaca in W Brazil. S. w. melanoleucus Miranda Ribeiro, 1912 — Brazilian Amazon, along the right bank of the upper Rio Jurua, S from the mouth of the Rio Eira, up to its headwaters, E to the left bank of the Rio Tarauaca (no saddle-back tamarins have been recorded to the E of the Rio Tarauaca in Acre State as far as the upper Rio Purus), in SE Peru from the upper reaches of the Rio Breu and the Quebrada Breu, right bank affluents of the upper Rio Yurua.
maDLC Marmoset Benchmark Dataset - Training
<p>see https://benchmark.deeplabcut.org/ for more information.</p>
Constructing the hierarchy of predictive auditory sequences in the marmoset brain
<p>Our brains constantly generate predictions of sensory input that are compared with actual inputs, propagate the prediction-errors through a hierarchy of brain regions, and subsequently update the internal predictions of the world. However, the essential feature of predictive coding, the notion of hierarchical depth and its neural mechanisms, remains largely unexplored. Here, we investigated the hierarchical depth of predictive auditory processing by combining functional magnetic resonance imaging (fMRI) and high-density whole-brain electrocorticography (ECoG) in marmoset monkeys during an auditory local-global paradigm in which the temporal regularities of the stimuli were designed at two hierarchical levels. The prediction-errors and prediction updates were examined as neural responses to auditory mismatches and omissions. Using fMRI, we identified a hierarchical gradient along the auditory pathway: midbrain and sensory regions represented local, short-time-scale predictive processing followed by associative auditory regions, whereas anterior temporal and prefrontal areas represented global, long-time-scale sequence processing. The complementary ECoG recordings confirmed the activations at cortical surface areas and further differentiated the signals of prediction-error and update, which were transmitted via putatively bottom-up g and top-down b oscillations, respectively. Furthermore, omission responses caused by absence of input, reflecting solely the two levels of prediction signals that are unique to the hierarchical predictive coding framework, demonstrated the hierarchical predictions in the auditory, temporal, and prefrontal areas. Thus, our findings support the hierarchical predictive coding framework, and outline how neural circuits and spatiotemporal dynamics are used to represent and arrange a hierarchical structure of auditory sequences in the marmoset brain.</p>
On following pages 19 Buffy-headed Marrnoset (Cal/: rhnx flawcepsá 20 Geoffroy s Tuftedear Mamıoset (Ca/Iırhnx gooflroyı), 21 Wıed s Black tufted-ear Mannoset (Callıthrıx kuhlıı), 22 Block-tufted-ear Marmoset (Callnhnx penıcıllata) 23 Common Mannoset (Calhthnx ¡aochusf in Callitrichiade
On following pages 19 Buffy-headed Marrnoset (Cal/: rhnx flawcepsá 20 Geoffroy s Tuftedear Mamıoset (Ca/Iırhnx gooflroyı), 21 Wıed s Black tufted-ear Mannoset (Callıthrıx kuhlıı), 22 Block-tufted-ear Marmoset (Callnhnx penıcıllata) 23 Common Mannoset (Calhthnx ¡aochusf
Broadband local field potential in area MT of marmoset monkey
<p>Broadband local field potential (0.1-500 Hz) in area MT of marmoset monkey.</p>
On following pages: 660. Roof Rat (Rattusrattus); 661. Oriental House Rat (Rattus tanezumi); 662. Nicobar Archipelago Rat (Rattus burrus); 663. Car Nicobar Rat (Rattus palmarum); 664. Himalayan Rat (Rattus pyctoris); 665. Ranjini's Rat (Rattus ranjiniae); 666. Sahyadris Forest Rat (Rattus satarae); 667. Andaman Archipelago Rat (Rattus stoicus); 668. Sri Lankan Mountain Rat (Rattus montanus); 669. Pacific Rat (Rattus exulans); 670. Indochinese Forest Rat (Rattus andamanensis): 671. Ricefield Rat (Rattus argentiventen: 672. Losea Rat (Rattus losea); 673. White-footed Indochinese Rat (Rattus nitidus); 674. Osgood's Vietnamese Rat (Rattus osgood)); 675. Little Indochinese Field Rat (Rattus sakeratensis); 676. Burnished Enggano Rat (Rattus adustus); 677. Kinabalu Rat (Rattus baluensis); 678. Aceh Rat (Rattus blangorum); 679. Enggano Island Rat (Rattus enganus), 680. Hoogerwerf's Sumatran Rat (Rattus hoogerwerfi); 681. Sumatran Mountain Rat (Rattus korinchi); 682. Mentawai Archipelago Rat (Rattus lugens); 683. Gag Island Rat (Rattus nikenii); 684. Simalur Archipelago Rat (Rattus simalurensis); 685. Malaysian Field Rat (Rattus tiomanicus); 686. South-western Xanthurus Rat (Rattus bontanus); 687. Hoffmann's Sulawesi Rat (Rattus hoffmanni); 688. Koopman's Peleng Island Rat (Rattus koopmani); 689. Marmoset Xanthurus Rat (Rattus marmosurus); 690. Lampobatang Sulawesi Rat (Rattus mollicomulus). in Muridae
On following pages: 660. Roof Rat (Rattusrattus); 661. Oriental House Rat (Rattus tanezumi); 662. Nicobar Archipelago Rat (Rattus burrus); 663. Car Nicobar Rat (Rattus palmarum); 664. Himalayan Rat (Rattus pyctoris); 665. Ranjini's Rat (Rattus ranjiniae); 666. Sahyadris Forest Rat (Rattus satarae); 667. Andaman Archipelago Rat (Rattus stoicus); 668. Sri Lankan Mountain Rat (Rattus montanus); 669. Pacific Rat (Rattus exulans); 670. Indochinese Forest Rat (Rattus andamanensis): 671. Ricefield Rat (Rattus argentiventen: 672. Losea Rat (Rattus losea); 673. White-footed Indochinese Rat (Rattus nitidus); 674. Osgood's Vietnamese Rat (Rattus osgood)); 675. Little Indochinese Field Rat (Rattus sakeratensis); 676. Burnished Enggano Rat (Rattus adustus); 677. Kinabalu Rat (Rattus baluensis); 678. Aceh Rat (Rattus blangorum); 679. Enggano Island Rat (Rattus enganus), 680. Hoogerwerf's Sumatran Rat (Rattus hoogerwerfi); 681. Sumatran Mountain Rat (Rattus korinchi); 682. Mentawai Archipelago Rat (Rattus lugens); 683. Gag Island Rat (Rattus nikenii); 684. Simalur Archipelago Rat (Rattus simalurensis); 685. Malaysian Field Rat (Rattus tiomanicus); 686. South-western Xanthurus Rat (Rattus bontanus); 687. Hoffmann's Sulawesi Rat (Rattus hoffmanni); 688. Koopman's Peleng Island Rat (Rattus koopmani); 689. Marmoset Xanthurus Rat (Rattus marmosurus); 690. Lampobatang Sulawesi Rat (Rattus mollicomulus).
Training dataset for marmo3Dpose, related to the paper entitled "Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets"
<p>The training dataset for marmosets' 3D pose estimation developed for Kaneko and Matsumoto et al. 2024: Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets.</p> <p>Please visit</p> <p>Github: <a href="https://github.com/PrimatoModelling/marmo3Dpose">https://github.com/PrimatoModelling/marmo3Dpose</a></p> <p>Journal article: <a href="https://www.cell.com/current-biology/fulltext/S0960-9822(24)00676-6">https://www.cell.com/current-biology/fulltext/S0960-9822(24)00676-6</a></p>
Marmoset SNP Calls VCF
<p>Bgzipped vcf and tabix index files of marmoset SNP calls of 9 individuals on the calJac3 assembly.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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