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Related Concept Videos

Fixed Action Patterns01:06

Fixed Action Patterns

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A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
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Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Antibodies, or immunoglobulins, are critical players in the immune system's arsenal against invading pathogens. Produced by B cells and plasma cells, their primary role is to detect and bind to specific antigens, molecules found on the surface of pathogens like bacteria or viruses. Beyond antigen recognition, antibodies perform several vital functions that contribute to immune defense.
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Updated: Jan 31, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
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Semantic-aware self-supervised learning using progressive sub-action regression for action quality assessment

Marjan Mazruei1, Ehsan Fazl-Ersi2, Abedin Vahedian1

  • 1Department of Computer Engineering, Ferdowsi University of Mashhad, 9177948974, Mashhad, Iran.

Scientific Reports
|January 29, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Action quality assessmentFine-grained analysisMulti-substage regressionPseudo-subscore generationSelf-supervised learningUnsupervised temporal semantic segmentation

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