Jove
Visualize
Contact Us

Related Concept Videos

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
2.9K
Language Development01:22

Language Development

404
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
404
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

937
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
937

You might also read

Related Articles

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

Sort by
Same author

Machine learning surrogate forward models for biomechanical laryngeal control.

bioRxiv : the preprint server for biology·2026
Same author

Exploring Photobiomodulation as a Potential Novel Intervention for Developmental Stuttering: A Review and Hypothesis.

Journal of clinical medicine·2026
Same author

The Speech Network in Childhood Stuttering: Differences in Functional Connectivity of the Planning and Motor Loops.

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

Practice Parameters That Influence Vocal Motor Adaptation in Altered Auditory Feedback Paradigms.

Journal of speech, language, and hearing research : JSLHR·2026
Same author

An Imaging-Guided Neural Model Explains Lexical Stress Alteration in Acquired Apraxia of Speech.

Human brain mapping·2025
Same author

Noninvasive Neurostimulation to the Inferior Frontal Sulcus or Cerebellum Improves Accuracy But Not Timing in a Speech Motor Learning Task.

Neurobiology of language (Cambridge, Mass.)·2025
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 Experiment Video

Updated: Jul 26, 2025

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

19.1K

Neurocomputational modeling of speech motor development.

Andrew M Meier1, Frank H Guenther1,2

  • 1Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215.

Journal of Child Language
|June 20, 2023
PubMed
Summary

This review details a computational model for infant speech motor control development. It covers learning sounds and sequences using the DIVA and GODIVA models.

Keywords:
Speech motor controlcomputational neural modelingmotor-sequence learningspeech developmentspeech production

More Related Videos

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
08:26

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

6.8K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

45.6K

Related Experiment Videos

Last Updated: Jul 26, 2025

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation
12:09

Stimulating the Lip Motor Cortex with Transcranial Magnetic Stimulation

Published on: June 14, 2014

19.1K
Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
08:26

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain

Published on: July 1, 2019

6.8K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

45.6K

Area of Science:

  • Computational neuroscience
  • Developmental linguistics
  • Speech motor control

Background:

  • Infant speech development involves learning to articulate sounds and produce sequences.
  • Understanding the neural mechanisms underlying speech acquisition is crucial.

Approach:

  • This review presents a computational approach to model infant speech motor control.
  • The DIVA (Direct / Inverse Vocal tract Articulation) model is described for learning individual speech sounds.
  • The GODIVA model, an extension of DIVA, is introduced to explain the sequencing of sounds.

Key Points:

  • The DIVA model simulates the learning of phonemes, syllables, and words.
  • The GODIVA model incorporates 'chunking' for efficient production of sound sequences.
  • These models provide a framework for understanding the progression of speech skills in infants.

Conclusions:

  • Computational modeling offers valuable insights into the developmental trajectory of speech motor control.
  • The DIVA and GODIVA models provide a testable framework for infant speech acquisition research.