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

Language and Cognition01:27

Language and Cognition

977
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
977
Components of Language01:24

Components of Language

937
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.
937
Language Development01:22

Language Development

1.1K
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...
1.1K
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

4.1K
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...
4.1K
Language01:16

Language

1.0K
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
1.0K
Lateralization01:28

Lateralization

1.3K
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
1.3K

You might also read

Related Articles

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

Sort by
Same author

Sensory Over-Responsivity in Autism: A Bidirectional Brain-Gut-Microbiome Model.

Journal of autism and developmental disorders·2026
Same author

Using chills-inducing music to augment self-transcendence, emotional breakthrough, and psychological insight during mindfulness and loving kindness meditation.

Frontiers in psychology·2026
Same author

Threat discrimination of real-world social interactions in schizotypal traits.

Psychonomic bulletin & review·2026
Same author

The physiology of interoception and its adaptive role in consciousness.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
Same author

Personalized High-Definition Transcranial Direct Current Stimulation for the Treatment of Depression: A Randomized Clinical Trial.

JAMA network open·2025
Same author

Empathy from dissimilarity: Multivariate pattern analysis of neural activity during observation of somatosensory experience.

Imaging neuroscience (Cambridge, Mass.)·2025
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026
Same journal

Human astrocytes keep time with inflammation.

Neuron·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K

Embodiment in multimodal large language models.

Akila Kadambi1, Lisa Aziz-Zadeh2, Antonio Damasio3

  • 1Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA; UCLA-CDU Dana Center for Neuroscience & Society, Los Angeles, CA, USA; USC Mrs. T.H. Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA; Semel Institute for Neuroscience and Behavior, UCLA, Los Angeles, CA, USA; Brain Research Institute, UCLA, Los Angeles, CA, USA.

Neuron
|April 3, 2026
PubMed
Summary
This summary is machine-generated.

Multimodal large language models (MLLMs) need internal and external embodiment to improve real-world interactions. A dual-embodied framework models these interactions, bridging data and experience for advanced AI.

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

3.1K

Related Experiment Videos

Last Updated: Apr 4, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.3K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

3.1K

Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Robotics

Background:

  • Multimodal large language models (MLLMs) excel at integrating text and visual data.
  • Current MLLMs struggle with situated interactions in complex, real-world environments.
  • Embodied experience is crucial for understanding and interacting within these environments.

Purpose of the Study:

  • To propose a framework for enhancing MLLMs with internal and external embodiment.
  • To address the limitations of current MLLMs in real-world situated interactions.
  • To bridge the gap between multimodal data processing and genuine world experience.

Main Methods:

  • Describing internal and external embodiment mechanisms in humans.
  • Relating human embodiment to current MLLM advancements.
  • Proposing a dual-embodied framework for MLLM development.

Main Results:

  • Identified the necessity of internal and external embodiment for advanced MLLMs.
  • Highlighted the early stages of MLLM alignment with human representations.
  • Introduced a dual-embodied framework to model embodiment interactions.

Conclusions:

  • Incorporating internal and external embodiment is key for future MLLM development.
  • A dual-embodied framework can enhance MLLMs' ability to bridge data and world experience.
  • This approach moves MLLMs closer to human-like situated interaction capabilities.