Object categories are recognized at multiple levels of hierarchical abstractions. Psychophysical studies have shown a more rapid perceptual access to the mid-level category information (e.g., human faces) than the higher (superordinate; e.g., animal) or the lower (subordinate; e.g., face identity) level. Mid-level category members share many features, whereas few features are shared among members of different mid-level categories. To understand better the neural basis of expedited access to mid-level category information, we examined neural responses of the inferior temporal (IT) cortex of macaque monkeys viewing a large number of object images. We found an earlier representation of mid-level categories in the IT population and single-unit responses compared with superordinate- and subordinate-level categories. The short-latency representation of mid-level category information shows that visual cortex first divides the category shape space at its sharpest boundaries, defined by high/low within/between-group similarity. This short-latency, mid-level category boundary map may be a prerequisite for representation of other categories at more global and finer scales.
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http://dx.doi.org/10.1152/jn.00018.2016 | DOI Listing |
Sci Rep
January 2025
Bates College Program in Neuroscience, Bates College, Lewiston, ME, USA.
Entropy (Basel)
October 2024
School of Software, Northeastern University (NEU), Shenyang 110169, China.
In response to the problem of poor detection ability of object detection models for small-scale targets in intelligent transportation scenarios, a fusion method is proposed to enhance the features of small-scale targets, starting from feature utilization and fusion methods. The algorithm is based on the YOLOv4 tiny framework and enhances the utilization of shallow and mid-level features on the basis of Feature Pyramid Network (FPN), improving the detection accuracy of small and medium-sized targets. In view of the problem that the background of the intelligent traffic scene image is cluttered, and there is more redundant information, the Convolutional Block Attention Module (CBAM) is used to improve the attention of the model to the traffic target.
View Article and Find Full Text PDFAfr J Prim Health Care Fam Med
May 2024
Department of Family Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria.
Background: South Africa's health care system grapples with persistent challenges, including health care provider shortages and disparities in distribution. In response, the government introduced clinical associates (Clin-As) as a novel category of health care providers.
Aim: This study mapped Clin-As' history and practice in South Africa, assessing their roles in the health workforce and offering recommendations.
J Microbiol Biol Educ
December 2023
North Dakota State University, Fargo, North Dakota, USA.
The Microbiology Concept Inventory is an assessment tool derived from the fundamental statements created by the American Society for Microbiology. This two-tier, multiple-choice question inventory requires students to choose the most correct answer for each question and provide a brief justification of their reasoning. Educators can utilize this tool to identify common misconceptions held by students and adjust curriculum to address and prevent the persistence of student misconceptions.
View Article and Find Full Text PDFJ Affect Disord
February 2024
School of Nursing, Jinzhou Medical University, No.40, Section 3, Songpo Road, Linghe District, Jinzhou City, Liaoning Province, PR China. Electronic address:
Objectives: The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people.
Methods: This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects.
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