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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

10.9K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.9K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

14.8K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
14.8K

You might also read

Related Articles

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

Sort by
Same author

On the speed of conscious perception: how soon is now?

The Behavioral and brain sciences·2026
Same author

Same Sentences, Different Grammars, Different Brain Responses?: An MEG Study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures.

Neurobiology of language (Cambridge, Mass.)·2026
Same author

Productivity matters for the neural processing of novel words, but not existing ones.

Cognition·2026
Same author

Measuring naturalistic speech comprehension in real time.

Behavior research methods·2026
Same author

Bayesian teaching enables probabilistic reasoning in large language models.

Nature communications·2026
Same author

Semantic Typicality of Affixes Facilitates Word Processing: MEG Evidence From Arabic.

Neurobiology of language (Cambridge, Mass.)·2025
Same journal

Representations of subsecond duration-based timing by complex spike synchrony in cerebellar Purkinje neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

The extended language network: Language-responsive brain areas whose contributions to language remain to be discovered.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Cortical and thalamic afferent connectomes distinguish ACC subregions of the macaque brain.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

The synaptic vesicle priming protein Munc13 mediates evoked somatodendritic dopamine release.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Speakers with cerebellar ataxia do not adapt speech segment durations in response to durationally altered auditory feedback.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

The precision of hippocampal representations predicts incremental value-learning across the adult lifespan.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

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

2.9K

In Spoken Word Recognition, the Future Predicts the Past.

Laura Gwilliams1,2, Tal Linzen3, David Poeppel4,5

  • 1Psychology Department, laura.gwilliams@nyu.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|July 18, 2018
PubMed
Summary
This summary is machine-generated.

Listeners use future speech context to interpret ambiguous sounds. The auditory cortex maintains acoustic details and integrates them with word information for faster comprehension.

Keywords:
MEGauditory processinglexical accessspeech

More Related Videos

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.8K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.8K

Related Experiment Videos

Last Updated: Feb 7, 2026

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

2.9K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.8K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.8K

Area of Science:

  • Neuroscience
  • Auditory Perception
  • Speech Processing

Background:

  • Speech perception relies on integrating contextual information to resolve ambiguity.
  • The neural basis for integrating *subsequent* context in speech perception is largely unknown.
  • Prior context influences speech perception, but how future information shapes interpretation is unclear.

Purpose of the Study:

  • To investigate the neural mechanisms of integrating subsequent contextual information in speech perception.
  • To determine how the brain uses later-arriving information to disambiguate early speech sounds.

Main Methods:

  • Used magnetoencephalography (MEG) to record neural activity from the human auditory cortex.
  • Analyzed brain responses to spoken words with ambiguous initial phonemes disambiguated later.
  • Recruited 50 participants across two MEG experiments.

Main Results:

  • Primary auditory cortex shows sensitivity to phonological ambiguity as early as 50 ms after sound onset.
  • Subphonemic acoustic details are preserved in auditory cortex over extended periods.
  • Phonological categorization occurs in parallel, resolving within approximately 450 ms.

Conclusions:

  • Future speech input influences the perception of earlier sounds by maintaining sensory features.
  • The auditory system preserves acoustic signals while forming hypotheses about word identity.
  • This dual processing strategy enables rapid message comprehension and minimizes parsing errors.