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1,506 results for “objects”
Facilitation of allocentric coding by virtue of object-semantics
<p>Results of both experiments.</p>
Text-fig. 6. Mytoconula vonkai sp. n. Specimen NM L 31984, internal mould. A – apical, B – right lateral views, ×...... and ×....... Note the outline of an indeterminate object on which the larva settled. This specimen, embedded in a siliceous concretion, lied closely near the holotype NM L 38914. Dobrotivá F., Mýto near Holoubkov. in Patelliconus Horný, 1961 And Mytoconula Gen. N. (Mollusca, Tergomya) From The Ordovician Of Perunica
Text-fig. 6. Mytoconula vonkai sp. n. Specimen NM L 31984, internal mould. A – apical, B – right lateral views, ×...... and ×....... Note the outline of an indeterminate object on which the larva settled. This specimen, embedded in a siliceous concretion, lied closely near the holotype NM L 38914. Dobrotivá F., Mýto near Holoubkov.
Example H5 Seurat Object
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High proper motion objects detected in unTimely W2 band data
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IV-YOLO: A Lightweight Dual-Branch Object Detection Network
<p>IV-YOLO 的网络和数据存储</p>
GOALS AND OBJECTIVES OF THE APPLICATION OF THE SYSTEM OF ACADEMIC MOBILITY IN HIGHER EDUCATIONAL INSTITUTIONS
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PROCESS OF MOVEMENT OF ROCKS IN ORE MINES AND MEASURES TO PROTECT THE OBJECTS OF UNDERGROUND EXCAVATION WORKS FROM HARMFUL EFFECTS
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Object color knowledge representation occurs in the macaque brain despite the absence of a developed language system
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NATIONAL ASPECTS IN THE WORLD LINGUISTIC LANDSCAPE AS AN OBJECT OF THE STUDY OF LINGUISTICS
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Table ¹: Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in Rhipidomys mastacalis from three vegetation classes in Brazil. Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles, respectively. in Morphological symmetry of Rhipidomys mastacalis (Mammalia, Rodentia, Cricetidae) in fragmented habitats of the Atlantic Forest in Northeastern Brazil: a study on the influence of the environment on an endemic species
<p><b>Table ¹:</b> Comparison of analysis of variance results for skull (occlusal view) and mandible (side view) shape in <i>Rhipidomys mastacalis</i> from three vegetation classes in Brazil.Object asymmetry and correspondence methods were employed to assess asymmetry for skulls and mandibles,respectively.</p><table><tbody><tr><th><b>Shape procrustes ANOVA</b></th></tr></tbody><tbody><tr><th><b>Effect Sum of squares</b></th><td><b>Mean squares</b></td><td><b>Degrees of freedom</b></td><td><i>F statistic</i></td><td><i>p -Value</i></td><td><b>Pillai tr.</b></td><td><i>p -Value</i></td></tr><tr><th><b>Skulls</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.19908517</td><td>0.0004253957</td><td>468</td><td>22.36</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00366522</td><td>0.0002036232</td><td>18</td><td>10.70</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.00890443</td><td>0.0000190266</td><td>468</td><td>2.24</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.00825565</td><td>0.0000084935</td><td>972</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>0.37829478</td><td>0.0003965354</td><td>954</td><td>18.57</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.00547536</td><td>0.0003041869</td><td>18</td><td>14.25</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.02037065</td><td>0.0000213529</td><td>954</td><td>1.89</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.02201359</td><td>0.0000113239</td><td>1944</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.0645902300</td><td>0.0001302222</td><td>496</td><td>5.18</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Side</th><td>0.0113531900</td><td>0.0007095741</td><td>16</td><td>28.23</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Individual × side</th><td>0.0124666800</td><td>0.0000251344</td><td>496</td><td>1.88</td><td><0.0001</td><td>–</td><td>–</td></tr><tr><th>Error 1</th><td>0.0136608800</td><td>0.0000133407</td><td>1024</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Mandibles</b></th></tr><tr><th><b>Forested vegetation</b></th></tr><tr><th>Individual</th><td>0.70443879</td><td>0.0012579264</td><td>560</td><td>8.10</td><td><0.0001</td><td>14.16</td><td><0.0001</td></tr><tr><th>Side</th><td>0.00549957</td><td>0.0002749783</td><td>20</td><td>1.77</td><td>0.0207</td><td>0.0207</td><td>0.0069</td></tr><tr><th>Individual × side</th><td>0.08696012</td><td>0.0001552859</td><td>560</td><td>2.46</td><td><0.0001</td><td>10.75</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.07312665</td><td>0.0000387718</td><td>1160</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Occupancy mosaics in forested areas</b></th></tr><tr><th>Individual</th><td>1.19843989</td><td>0.0011984399</td><td>1000</td><td>8.16</td><td><0.0001</td><td>14.70</td><td><0.0001</td></tr><tr><th>Side</th><td>0.01169771</td><td>0.0005848855</td><td>20</td><td>3.98</td><td><0.0001</td><td>0.74</td><td>0.0001</td></tr><tr><th>Individual × side</th><td>0.14685738</td><td>0.0001468574</td><td>1000</td><td>3.03</td><td><0.0001</td><td>11.21</td><td><0.0001</td></tr><tr><th>Error 1</th><td>0.09880745</td><td>0.0000484350</td><td>2040</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th><b>Cocoa plantations</b></th></tr><tr><th>Individual</th><td>0.3269927600</td><td>0.0004808717</td><td>680</td><td>4.52</td><td><0.0001</td><td>14.14</td><td><0.0001</td></tr><tr><th>Side</th><td>0.0143644400</td><td>0.0007182221</td><td>20</td><td>6.75</td><td><0.0001</td><td>0.86</td><td>0.0017</td></tr><tr><th>Individual × side</th><td>0.0723474900</td><td>0.0001063934</td><td>680</td><td>2.39</td><td><0.0001</td><td>10.41</td><td>0.0017</td></tr><tr><th>Error 1</th><td>0.0622041800</td><td>0.0000444316</td><td>1400</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
Dataset for the paper "Efficient sentence processing significantly affects the position of objects in Russian"
<p>Dataset and the scripts for the paper "Efficient sentence processing significantly affects the position of objects in Russian"</p>
OBJECT PHRASES INCLUDING NOUNS AND NON-FINITE VERBS IN THE SENTENCES AND THEIR TYPES IN THE CONTEXT
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Data from: Segmentation of laterally symmetric overlapping objects: application to images of collective animal behavior
Video analysis is currently the main non-intrusive method for the study of collective behavior. However, 3D-to-2D projection leads to overlapping of observed objects. The situation is further complicated by the absence of stall shapes for the majority of living objects. Fortunately, living objects often possess a certain symmetry which was used as a basis for morphological fingerprinting. This technique allowed us to record forms of symmetrical objects in a pose-invariant way. When combined with image skeletonization, this gives a robust, nonlinear, optimization-free, and fast method for detection of overlapping objects, even without any rigid pattern. This novel method was verified on fish (European bass, Dicentrarchus labrax, and tiger barbs, Puntius tetrazona) swimming in a reasonably small tank, which forced them to exhibit a large variety of shapes. Compared with manual detection, the correct number of objects was determined for up to almost 90% of overlaps, and the mean Dice-Sørensen coefficient was around 0.83. This implies that this method is feasible in real-life applications such as toxicity testing.
Data from: Emerging Representational Geometries in the Visual System Predict Reaction Times for Object Categorization
Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or "brain decoding", methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in high temporal resolution, the emerging representation of objects that underlie our capacity for rapid recognition. Shortly after stimulus onset, exemplar stimuli cluster by category in high-dimensional activation spaces. In these emerging activation spaces, the decodability of exemplar category varies over time, reflecting the brain's transformation of visual inputs into coherent categorical representations. How do these emerging representations relate to categorization behavior? Recently it has been proposed that the distance of an exemplar representation from a categorical boundary in an activation space is critical for perceptual decision-making, and that reaction times should therefore correlate with distance from the boundary. The predictions of this distance hypothesis have been born out in human inferior temporal cortex (IT), an area of the brain crucial for the representation of object categories. The time of peak decoding is the optimal time for category information to be "read out" from the brain's time varying representation of the stimuli. In this study, we tested the distance hypothesis, and specifically whether or not the brain reads out at the optimal time for choice behavior. Using MEG decoding methods, we show that the distance of a pattern of activity from a decision boundary through a high-dimensional activation space correlates with reaction times in a visual categorization task, but only during the period of peak decodability. Our results suggest the brain uses the optimal stimulus representation for choice behavior, and that neural representations for objects are partially constitutive of the decision process in visual perception.
Data from: A robust and representative lower bound on object processing speed in humans
How early does the brain decode object categories? Addressing this question is critical to constrain the type of neuronal architecture supporting object categorization. In this context, much effort has been devoted to estimating face processing speed. With onsets estimated from 50 to 150 ms, the timing of the first face-sensitive responses in humans remains controversial. This controversy is due partially to the susceptibility of dynamic brain measurements to filtering distortions and analysis issues. Here, using distributions of single-trial event-related potentials (ERPs), causal filtering, statistical analyses at all electrodes and time points, and effective correction for multiple comparisons, we present evidence that the earliest categorical differences start around 90 ms following stimulus presentation. These results were obtained from a representative group of 120 participants, aged 18-81, who categorized images of faces and noise textures. The results were reliable across testing days, as determined by test-retest assessment in 74 of the participants. Furthermore, a control experiment showed similar ERP onsets for contrasts involving images of houses or white noise. Face onsets did not change with age, suggesting that face sensitivity occurs within 100 ms across the adult lifespan. Finally, the simplicity of the face-texture contrast, and the dominant midline distribution of the effects, suggest the face responses were evoked by relatively simple image properties and are not face specific. Our results provide a new lower benchmark for the earliest neuronal responses to complex objects in the human visual system.
Non-biodegradable objects may boost microbial growth in water bodies by harnessing bubbles
<p><span><span><span><span><span><span><span><span><span><span><span>Given the ubiquity of bubbles and non-biodegradable wastes in aqueous environments, their transport through bubbles should be widely extant in water bodies. In this study, we investigate the effect of bubble-induced waste transport on microbial growth by using yeasts as model microbes and a silicone rubber object as a model waste. Noteworthily, this object repeatedly rises and sinks in fluid through fluctuations in bubble acquired buoyant forces produced by cyclic nucleation, growth and release of bubbles from object's surface. The rise-sink movement of object gives rise to a strong bulk mixing and an enhanced resuspension of cells from the floor. Such spatially dynamic contaminant inside a nutrient-rich medium also leads to an increment in the total microbe concentration in the fluid. The enhanced concentration is caused by strong nutrient mixing generated by the object's movement which increases the nutrient supply to growing microbes and thereby, prolonging their growth phases. We confirm these findings through a theoretical model for cell concentration and nutrient distribution in fluid medium. The model is based on the continuum hypothesis and it uses the general conservation law which takes an advection-diffusion-growth form. We conclude the study with demonstration of bubble-induced digging of objects from model sand.</span></span></span></span></span></span></span></span></span></span></span></p>
Generic Object Decoding
<p>fMRI data for Horikawa & Kamitani (2017) "Generic decoding of seen and imagined objects using hierarchical visual features" Nat Common, <a href="https://www.nature.com/articles/ncomms15037">https://www.nature.com/articles/ncomms15037</a>.</p>
SolSysELTs2022 Part II: Observing asteroids and trans-Neptunian objects with MICADO/MAORY
<p>Contributed talk: presentation and video recording</p>
Object and Class
<p>Bagian dari materi OOP</p>
Mouse with an imaging objective
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.