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

521
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...
521
Purposive Learning01:22

Purposive Learning

207
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...
207
Associative Learning01:27

Associative Learning

576
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...
576
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

734
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
734
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

969
Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
969
Observational Learning01:12

Observational Learning

314
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...
314

You might also read

Related Articles

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

Sort by
Same author

Learning regularities in noise engages both neural predictive activity and representational changes.

Nature communications·2026
Same author

Decomposing the modulation of interactions between neuronal populations.

bioRxiv : the preprint server for biology·2026
Same author

Poliprotect in the PPI Deprescription Phase of Endoscopy-Negative Heartburn and Epigastric Pain Syndrome Patients: An RCT Post Hoc Analysis.

Neurogastroenterology and motility·2026
Same author

Scale-invariant brain morphometry: application to sulcal depth.

Computers in biology and medicine·2026
Same author

Contribution of spike timing to the neural code: from fast to slow timescales.

Biological cybernetics·2026
Same author

Investigating the replicability of the social and behavioural sciences.

Nature·2026

Related Experiment Video

Updated: Sep 12, 2025

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.3K

Higher-order and distributed synergistic functional interactions encode information gain in goal-directed learning.

Etienne Combrisson1, Ruggero Basanisi1,2, Matteo Neri1

  • 1Institut de Neurosciences de la Timone UMR 7289, Aix Marseille Université, CNRS, 13005, Marseille, France.

Nature Communications
|August 5, 2025
PubMed
Summary

This study reveals how the brain encodes learning signals through synergistic neural interactions. Information gain is processed across multiple brain regions and broadcast to prefrontal reward circuits.

More Related Videos

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

21.3K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

Related Experiment Videos

Last Updated: Sep 12, 2025

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.3K
Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
06:04

Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

21.3K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.7K

Area of Science:

  • Neuroscience
  • Cognitive Science

Background:

  • Goal-directed learning involves distributed neural circuits in the prefrontal, parietal, and temporal cortices.
  • The specific role of cortico-cortical functional interactions in encoding learning signals is not well understood.

Purpose of the Study:

  • To investigate how neural interactions encode learning signals.
  • To clarify the role of cortico-cortical functional interactions in goal-directed learning.

Main Methods:

  • Integrated information dynamics analysis with magnetoencephalography (MEG).
  • Examined the representation and interaction of learning signals across cortical regions.

Main Results:

  • Information gain is represented in visual, parietal, lateral prefrontal, and ventromedial/orbital prefrontal cortices.
  • Cortico-cortical interactions synergistically encode information gain at pairwise and higher-order levels.
  • Higher-order interactions involve long-range relationships centered in ventromedial and orbitofrontal cortices, broadcasting information gain.

Conclusions:

  • Information gain is encoded via synergistic and higher-order functional interactions.
  • Ventromedial and orbitofrontal cortices act as key hubs for broadcasting information gain.
  • These interactions are crucial for transmitting learning information to prefrontal reward circuits.