Object Recognition
Object Recognition - Related Videos
08:52
Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
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Cited by 797 •
2017
The object recognition test (ORT) is a simple and efficient assay for evaluating learning and memory in mice. The methodology is described below.
05:57
Novel Object Recognition and Object Location Behavioral Testing in Mice on a Budget
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Cited by 251 •
2018
Here we provide a protocol which includes comprehensive instructions for the economical establishment of murine object location and novel object recognition behavioral testing, including the design, cost, and construction of required equipment as well as execution of behavioral testing, data collection, and analysis.
14:38
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Cited by 12 •
2012
We describe a novel methodology for creating naturalistic 3-D objects and object categories with precisely defined feature variations. We use simulations of the biological processes of morphogenesis and phylogenesis to create novel, naturalistic virtual 3-D objects and object categories that can then be rendered as visual images or haptic objects.
10:02
Assessment of Spontaneous Alternation, Novel Object Recognition and Limb Clasping in Transgenic Mouse Models of Amyloid-β and Tau Neuropathology
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Cited by 199 •
2017
Described here is a staged, behavioral screening approach that can be used to screen for compounds that exhibit in vivo efficacy on cognitive and functional motor behaviors in transgenic mouse models of β-amyloidosis and tauopathy. These methods are optimized to screen compounds for activity in short-term and working memory tasks.
11:55
Physiological Correlates of Emotion Recognition
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California The autonomic nervous system (ANS) controls the activity of the body's internal organs and regulates changes in their activity depending on the current environment. The vagus nerve, which innervates many of the internal organs, is an important part of the system. When our brain senses danger, vagal tone is inhibited, leading to a set of changes in the body designed to make us more prepared to fight or...
FAQs
Recognition depends on extracting informative features rather than treating all sensory input equally. Depending on the biological context, these features may include shape, size, chemical composition, or movement. Neural or cellular pathways then integrate the signals and compare them with stored patterns, allowing the system to assign a meaningful identity and distinguish one entity from another.
Stored patterns provide a reference for interpreting incoming sensory signals. A detected feature becomes biologically meaningful when neural or cellular pathways relate it to previously represented patterns. This integration helps organisms separate similar entities, identify relevant surroundings, and produce responses based on recognized identities rather than reacting independently to every isolated sensory feature.
The recognized information and biological pathways differ by context. Visual perception can use features such as shape, size, and movement to distinguish physical entities, whereas immune discrimination relies on chemical composition to identify foreign molecules. Both contexts depend on integrating detected signals with stored patterns, but they support different biological tasks and responses.
Recognition is influenced by which features receptors can detect and by how effectively neural or cellular pathways integrate those signals. Shape, size, chemical composition, and movement can each provide distinguishing information, depending on the system. The available stored patterns also matter because they help convert sensory or molecular signals into a specific identity.
A biological image analysis workflow can focus first on identifying visible features of cells or tissues, such as their shape or size. Researchers can then examine how those features are integrated to distinguish one entity from another and assign identities. This approach connects image observations with object recognition principles and supports systematic analysis of research images.
The process is useful whenever researchers need to distinguish entities or interpret sensory information. Its applications include neuroscience studies of visual perception, behavioral biology involving predator and prey detection, microscopy of cells or tissues, and biological image analysis. These uses help connect detected features with identity, environmental responses, or experimentally observed cellular structures.
Predator and prey detection depends on identifying meaningful entities in the surrounding environment, with movement serving as one relevant feature. Sensory receptors provide information that biological pathways can integrate with stored patterns, helping produce an identity that guides interpretation. In behavioral biology, this connects recognition with how organisms respond to potentially important nearby entities.
Researchers can examine whether cells or tissues are distinguished consistently in microscopy and biological image analysis. Relevant observations may include differences in shape, size, or other detectable features. By relating those observations to cellular pathways and stored patterns, studies can investigate how biological systems assign identities and how recognition contributes to interpreting research images.