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

Role of Hippocampus in Memory01:19

Role of Hippocampus in Memory

488
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
488
Neural Circuits01:25

Neural Circuits

1.5K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.5K

You might also read

Related Articles

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

Sort by
Same author

A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe.

Neuron·2026
Same author

Consciousness indicators, mimicry, and internal variants.

Trends in cognitive sciences·2026
Same author

Modality-agnostic decoding of vision and language from fMRI.

eLife·2026
Same author

Identifying indicators of consciousness in AI systems.

Trends in cognitive sciences·2025
Same author

Evidence for compositionality in fMRI visual representations via Brain Algebra.

Communications biology·2025
Same author

Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics.

ArXiv·2025

Related Experiment Video

Updated: Aug 31, 2025

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

5.0K

Multimodal neural networks better explain multivoxel patterns in the hippocampus.

Bhavin Choksi1, Milad Mozafari2, Rufin VanRullen3

  • 1CerCO, CNRS UMR5549, Toulouse, France; Université de Toulouse, France.

Neural Networks : the Official Journal of the International Neural Network Society
|August 22, 2022
PubMed
Summary

Multimodal artificial intelligence models, like CLIP, better explain human hippocampus activity than single-modality models. This finding highlights multimodality as crucial for understanding neural concept representation.

Keywords:
Concept cellsDeep learningHippocampusMultimodal networksNeurosciencefMRI

More Related Videos

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.0K

Related Experiment Videos

Last Updated: Aug 31, 2025

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

5.0K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.0K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.0K

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Cognitive Science

Background:

  • The human hippocampus contains "concept cells" that respond to specific concepts across different sensory inputs.
  • Recent research identified similar concept cells in the multimodal network CLIP (Contrastive Language-Image Pre-training).

Purpose of the Study:

  • To investigate whether CLIP can explain human hippocampus fMRI activity more effectively than unimodal models.
  • To evaluate a range of uni- and multimodal models for their explanatory power regarding hippocampal function.

Main Methods:

  • Comparative analysis of fMRI data from the human hippocampus.
  • Assessment of various artificial intelligence models, including unimodal (visual, linguistic) and multimodal networks.
  • Evaluation of model performance in predicting multivoxel activity patterns in the hippocampus.

Main Results:

  • Multimodal models, particularly CLIP, demonstrated a superior ability to explain hippocampal fMRI activity compared to unimodal models.
  • The study confirmed that "multimodality" is a critical factor in explaining neural representations of concepts.
  • CLIP's architecture showed significant promise in modeling brain activity related to conceptual understanding.

Conclusions:

  • Multimodal artificial intelligence networks offer a powerful framework for understanding the neural basis of concept representation in the human hippocampus.
  • The findings suggest that integrating information across different modalities is fundamental to how the brain processes and represents concepts.
  • Future research can leverage multimodal AI to further explore cognitive functions associated with the hippocampus.