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

Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.5K
Concepts and Prototypes01:24

Concepts and Prototypes

128
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
128
Observational Learning01:12

Observational Learning

158
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
158
Language Development01:22

Language Development

334
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...
334
Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.4K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K

You might also read

Related Articles

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

Sort by
Same author

Towards an Integrated Staging Model for Bipolar Disorders: An International Society for Bipolar Disorders (ISBD) Staging Task Force Consensus Report.

Bipolar disorders·2026
Same author

Prognostic impact of heart failure guideline-directed medical therapy in patients with low blood pressure.

Kardiologia polska·2026
Same author

Toward a spatiotemporal neurocognitive framework of manipulable object processing.

Neuroscience and biobehavioral reviews·2026
Same author

Myocardial Oedema in Heart Failure with Preserved Ejection Fraction: Preliminary Findings from the NETDiamond Cohort.

European journal of heart failure·2026
Same author

Human Immunodeficiency Virus-Associated Vasculitis: A Case Report of Sensorineural Hearing Loss, Bell's Palsy, and Psoriasis Guttata.

Cureus·2026
Same author

Melkersson-Rosenthal Syndrome: A Case Treated With Infliximab.

Cureus·2026

Related Experiment Video

Updated: Jun 20, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.6K

Fine-grained knowledge about manipulable objects is well-predicted by contrastive language image pre-training.

Jon Walbrin1,2, Nikita Sossounov1,2, Morteza Mahdiani3

  • 1Proaction Laboratory, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

Iscience
|July 23, 2024
PubMed
Summary

Deep learning models, specifically CLIP-ViT, can approximate human object recognition by learning behavioral dimensions from image-text data. This multimodal network excels over image-only models in understanding fine-grained object knowledge.

Keywords:
Behavioral neurosciencePsychologySocial sciences

More Related Videos

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

5.9K
Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

15.7K

Related Experiment Videos

Last Updated: Jun 20, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.6K
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

5.9K
Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

15.7K

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Artificial Intelligence

Background:

  • Object recognition involves distinguishing similar items, crucial for tasks like tool selection.
  • Human object knowledge is organized by behavioral dimensions: vision, manipulation, and function.
  • Investigating if deep learning can replicate these human-centric object properties is essential.

Purpose of the Study:

  • To determine if deep learning models can approximate the fine-grained behavioral dimensions of human object knowledge.
  • To compare the performance of multimodal networks against image-only networks in predicting these dimensions.

Main Methods:

  • Utilized CLIP-ViT, a multimodal network trained on extensive image-text pairs.
  • Evaluated the model's ability to predict behavioral dimensions relevant to object manipulation and function.
  • Compared CLIP-ViT against other networks pre-trained on image-only datasets.

Main Results:

  • Behavioral dimensions of object knowledge were generally well-predicted by CLIP-ViT.
  • CLIP-ViT demonstrated superior performance compared to networks trained solely on images.
  • The findings highlight the model's capacity for approximating nuanced object understanding.

Conclusions:

  • CLIP-ViT effectively approximates fine-grained object knowledge, demonstrating the power of multimodal learning.
  • Multimodal pre-training and large-scale datasets significantly benefit the model's ability to capture behavioral dimensions.
  • This research bridges cognitive science and AI, offering insights into artificial object recognition capabilities.