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130 results for “categorization”
Code for: Threshold assessment, categorical perception, and the evolution of reliable signaling
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Comparison of categorical color perception in two Estrildid finches
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Data from: Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research
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Data from: SpeciesGeoCoder: fast categorization of species occurrences for analyses of biodiversity, biogeography, ecology and evolution
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FIG. 4. — A in Categorizing reptiles in Ancient Egypt: an overview of methods
FIG. 4. — A, Stellagama stellio Linnaeus, 1758; B, Chamaeleo chamaeleon Linnaeus, 1758. Credits: Arnold & Burton. (1978: Tav. 16).
FIG. 2 in Categorizing reptiles in Ancient Egypt: an overview of methods
FIG. 2. — Key to families of Egyptian Sauria according to Baha El Din (2006: 48). Images of the reptiles from Townsend et al. (2004: 751).
FIG. 3. — A in Categorizing reptiles in Ancient Egypt: an overview of methods
FIG. 3. — A, Scincus scincus Linnaeus, 1758 and B, Sphenops sepsoides (synonym of Chalcides sepsoides Anderson, 1898), from Baha El Din (2006: figs 73, 75).
FIGURE 6B in Phylogenetic relationships and biological features reveal that male Ostrinia furnacalis (Lepidoptera: Crambidae) in Northeast China can be categorized into postmedial line-based clades
FIGURE 6B. Male dynamics of Ostrina furnacalis clades I, II & III in various field in 2016.
FIGURE 6A in Phylogenetic relationships and biological features reveal that male Ostrinia furnacalis (Lepidoptera: Crambidae) in Northeast China can be categorized into postmedial line-based clades
FIGURE 6A. Male dynamics of Ostrinia furnacalis clades in 2015 (I~III =Clade I, II&III).
Data from: Are categorical spatial relations encoded by shifting visual attention between objects?
Perceiving not just values, but relations between values, is critical to human cognition. We tested the predictions of a proposed mechanism for processing categorical spatial relations between two objects—the shift account of relation processing—which states that relations such as 'above' or 'below' are extracted by shifting visual attention upward or downward in space. If so, then shifts of attention should improve the representation of spatial relations, compared to a control condition of identity memory. Participants viewed a pair of briefly flashed objects and were then tested on either the relative spatial relation or identity of one of those objects. Using eye tracking to reveal participants' voluntary shifts of attention over time, we found that when initial fixation was on neither object, relational memory showed an absolute advantage for the object following an attention shift, while identity memory showed no advantage for either object. This result is consistent with the shift account of relation processing. When initial fixation began on one of the objects, identity memory strongly benefited this fixated object, while relational memory only showed a relative benefit for objects following an attention shift. This result is also consistent, although not as uniquely, with the shift account of relation processing. Taken together, we suggest that the attention shift account provides a mechanistic explanation for the overall results. This account can potentially serve as the common mechanism underlying both linguistic and perceptual representations of spatial relations.
Data from: Categorical colour perception occurs in both signalling and non-signalling colour ranges in a songbird
Although perception begins when a stimulus is transduced by a sensory neuron, numerous perceptual mechanisms can modify sensory information as it is processed by an animal's nervous system. One such mechanism is categorical perception, in which 1) continuously-varying stimuli are labelled as belonging to a discrete number of categories and 2) there is enhanced discrimination between stimuli from different categories as compared to equally-different stimuli from within the same category. We have shown previously that female zebra finches (Taeniopygia guttata) categorically perceive colours along an orange-red continuum that aligns with the carotenoid-based colouration of male beaks, a trait that serves as an assessment signal in female mate choice. Here we demonstrate that categorical perception occurs along a blue-green continuum as well, suggesting that categorical colour perception may be a general feature of zebra finch vision. Although we identified two categories in both the blue-green and the orange-red ranges, we also found that individuals could better differentiate colours from within the same category in the blue-green as compared to the orange-red range, indicative of less clear categorization in the blue-green range. We discuss reasons why categorical perception may vary across the visible spectrum, including the possibility that such differences are linked to the behavioural or ecological function of different colour ranges.
Data from: Categorizing and assessing comprehensive drivers of provider behavior for optimizing quality of health care
<p>Inadequate quality of care in healthcare facilities is one of the primary causes of patient mortality in low- and middle-income countries, and understanding the behavior of healthcare providers is key to addressing it. Much of the existing research concentrates on improving resource-focused issues, such as staffing or training, but these interventions do not fully close the gaps in quality of care. By contrast, there is a lack of knowledge regarding the full contextual and internal drivers–such as social norms, beliefs, and emotions–that influence the clinical behaviors of healthcare providers. We aimed to provide two conceptual frameworks to identify such drivers, and investigate them in a facility setting where inadequate quality of care is pronounced. Using immersion interviews and a novel decision-making game incorporating concepts from behavioral science, we systematically and qualitatively identified an extensive set of contextual and internal behavioral drivers in staff nurses working in reproductive, maternal, newborn, and child health (RMNCH) in government public health facilities in Uttar Pradesh, India. We found that the nurses operate in an environment of stress, blame, and lack of control, which appears to influence their perception of their role as often significantly different from the RMNCH program's perspective. That context influences their perceptions of risk for themselves and for their patients, as well as self-efficacy beliefs, which could lead to avoidance of responsibility, or incorrect care. A limitation of the study is its use of only qualitative methods, which provide depth, rather than prevalence estimates of findings. This exploratory study identified previously under-researched contextual and internal drivers influencing the care-related behavior of staff nurses in public facilities in Uttar Pradesh. We recommend four types of interventions to close the gap between actual and target behaviors: structural improvements, systemic changes, community-level shifts, and interventions within healthcare facilities.</p>
Support videos for the article "Damage categorization in full-scale, full-composite ship hull under high-energy impacts by unsupervised-learning-enabled acoustic emission monitoring and laser shearography inspection"
<p>Video 1: Video showing one of the impact from a general perspective</p> <p>Video 2: Slow-motion video of the second impact</p>
supporting data for 'categorical colour metric' publication
<p>sampledMT.txt are metric tensors for the 'categorical colour metric' describe in the paper of the same name (to be) published in PLOS One.</p> <p>The data is stored as a nested list of dimension 21*21*21*3*3; with the outer dimension being the R coordinate of where the tensor lies running from 0.00, 0.05,...,0.95,1.00; next dimension G; then Bl then the tensors themselves.</p> <p>It can be directly read into Mathematica using <<</p>
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.
Morality in The Mundane: Categorizing Moral Reasoning in Real-life Social Situations
<p>The supplementary document includes appendix and curated database.</p>
Comparing the Performance of a Categorical Loudness Scaling Based Fitting With a Behavioural Fitting in Adults With a Nucleus Cochlear Implant 3 Months Post-activation
ClinicalTrials.gov study NCT05709223. IPD Sharing: NO. Countries: 3. Publications: 0.
Multicentric Study for External Validation of a Deep Learning Model for Mammographic Breast Density Categorization
ClinicalTrials.gov study NCT05021055. IPD Sharing: NO. Countries: 0. Publications: 22.
Data from: Categorical colour perception occurs in both signalling and non-signalling colour ranges in a songbird
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Data from: Categorizing and assessing comprehensive drivers of provider behavior for optimizing quality of health care
Open the record for dataset details and reuse information.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.