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

Cognitive Learning01:21

Cognitive Learning

1.2K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.2K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Associative Learning01:27

Associative Learning

1.3K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.3K
Purposive Learning01:22

Purposive Learning

512
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
512
Observational Learning01:12

Observational Learning

992
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...
992
Learning Disabilities01:25

Learning Disabilities

618
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
618

You might also read

Related Articles

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

Sort by
Same author

Social determinants of health in older adults: Current and emerging challenges.

International psychogeriatrics·2026
Same author

Do subjective cognitive complaints and slow gait speed increase the probability of progression to objective cognitive impairment? A systematic review and meta-analysis on motoric cognitive risk syndrome.

GeroScience·2026
Same author

Identifying Facilitators and Obstacles in Piloting Dementia Initiatives Within a Living Lab Approach: Systematic Review.

JMIR aging·2026
Same author

Digital narratives in person-centered care: a scoping review.

Innovation in aging·2026
Same author

Cognitive, functional and affective effects of a multi-task training in nursing home residents: results from a randomized pilot study.

Aging clinical and experimental research·2026
Same author

Differential Associations Between Distinct Components of Cognitive and Physical Function in Middle-Aged and Older Adults.

Brain sciences·2026

Related Experiment Video

Updated: Feb 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.1K

Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques.

Sonia Valladares-Rodriguez, Roberto Pérez-Rodriguez, J Manuel Fernandez-Iglesias

    Methods of Information in Medicine
    |September 25, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Panoramix, a game-based tool for early Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) detection. Machine learning analysis showed a 100% success rate in distinguishing healthy individuals from those with AD or MCI.

    More Related Videos

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.0K
    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
    07:15

    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

    Published on: August 16, 2020

    7.5K

    Related Experiment Videos

    Last Updated: Feb 4, 2026

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
    12:18

    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

    Published on: January 11, 2020

    8.1K
    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    1.0K
    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
    07:15

    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

    Published on: August 16, 2020

    7.5K

    Area of Science:

    • Neuroscience
    • Gerontology
    • Computational Biology

    Background:

    • Alzheimer's disease (AD) is a prevalent condition affecting adults.
    • Early detection of Mild Cognitive Impairment (MCI) is crucial for managing cognitive decline.
    • Traditional cognitive tests are time-consuming and often administered too late.

    Purpose of the Study:

    • To present the Panoramix serious game battery for detecting AD and MCI.
    • To overcome limitations of traditional cognitive assessment methods.
    • To validate the Panoramix battery in a cohort of seniors.

    Main Methods:

    • Development of the Panoramix serious game battery assessing memory, executive functions, attention, and gnosias.
    • Validation through a pilot cohort study of 16 seniors (AD, MCI, and healthy).
    • Application of machine learning techniques for data analysis.

    Main Results:

    • Initial evidence of psychometric validity (construct, criterion, external).
    • A promising 100% classification success rate using a subset of three games.
    • Accurate discrimination between healthy subjects and those with AD or MCI.

    Conclusions:

    • Digital serious games and machine learning show significant potential for early dementia detection.
    • The study demonstrates the efficacy of the Panoramix battery in a pilot phase.
    • Further research is encouraged to integrate this technique into clinical diagnosis.