Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in value between...
Components of Language01:24

Components of Language

Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Stereoisomerism02:52

Stereoisomerism

Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula.
Transition metal complexes often exist as geometric isomers, in which the same atoms are connected through the same types of bonds but with differences in their orientation in space. Coordination complexes with two different ligands in the cis and trans positions from a ligand of interest form isomers. For example, the octahedral [Co(NH3)4Cl2]+ ion has two isomers (Figure 1) In the cis...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nucleon mass from a covariant three-quark Faddeev equation.

Physical review letters·2010
Same author

Free-space optical collinear crossover interconnects.

Applied optics·2010
Same author

Fast digital optical multiplication using an array of binary symmetric logic counters.

Applied optics·2010
Same author

Optical higher-order symbolic recognition.

Applied optics·2010
Same author

Optical parallel register transfer microoperations using holographic symbolic substitutions.

Applied optics·2010
Same author

Liquid crystal TV-based white light optical tracking novelty filter.

Applied optics·2010
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

Parallel optical syntactic pattern recognizers.

G Eichmann, S Basu

    Applied Optics
    |May 11, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Syntactic pattern recognition utilizes structural information for complex problems. This study explores parallel algorithms and optical implementations for shape classification, detailing methods like symbolic substitution.

    More Related Videos

    Patterning via Optical Saturable Transitions - Fabrication and Characterization
    08:19

    Patterning via Optical Saturable Transitions - Fabrication and Characterization

    Published on: December 11, 2014

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    Related Experiment Videos

    Last Updated: Jun 13, 2026

    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
    08:32

    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

    Published on: September 5, 2019

    Patterning via Optical Saturable Transitions - Fabrication and Characterization
    08:19

    Patterning via Optical Saturable Transitions - Fabrication and Characterization

    Published on: December 11, 2014

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    Area of Science:

    • Computer Science
    • Optical Engineering
    • Artificial Intelligence

    Background:

    • Many pattern recognition tasks require understanding structural information.
    • Syntactic pattern recognition offers a valuable approach for such problems.

    Purpose of the Study:

    • To describe parallel syntactic pattern recognition algorithms.
    • To explore optical architecture implementations for these algorithms.
    • To illustrate applications in shape classification.

    Main Methods:

    • Discusses parallel optical syntactic pattern coding methods.
    • Introduces structural matched filter and associative memory filter.
    • Details an optical symbolic substitution syntactic parser.

    Main Results:

    • Presents parallel algorithms for syntactic pattern recognition.
    • Demonstrates optical implementations for enhanced processing.
    • Applies methods to shape classification tasks.

    Conclusions:

    • Syntactic pattern recognition is effective for structural pattern problems.
    • Optical implementations offer efficient solutions for parallel processing.
    • The discussed methods advance shape classification capabilities.