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

Observational Learning01:12

Observational Learning

644
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...
644
The Nativist Approach01:21

The Nativist Approach

256
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
256
Steps in the Modeling Process01:14

Steps in the Modeling Process

491
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
491
Introduction to Learning01:18

Introduction to Learning

709
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
709
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

5.2K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.2K
Piaget's Stage 1 of Cognitive Development01:14

Piaget's Stage 1 of Cognitive Development

1.2K
The sensorimotor stage, the initial phase of Jean Piaget's theory of cognitive development, spans the first two years of a child's life. During this period, infants actively engage with their surroundings, building cognitive awareness through direct interaction with the world. This interaction is primarily based on sensory perception and motor actions, allowing infants to gradually understand basic physical properties and predict how objects interact within their environment.
Exploration...
1.2K

You might also read

Related Articles

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

Sort by
Same author

A neural mechanism for online discovery of latent contexts.

bioRxiv : the preprint server for biology·2026
Same author

Working Memory of Multi-Object Scenes in Primate Frontal Cortex.

bioRxiv : the preprint server for biology·2026
Same author

Circuit explained: How does a transformer perform compositional generalization.

PloS one·2026
Same author

Evidence accumulation from experience and observation in the cingulate cortex.

Nature·2026
Same author

Diverse animal models in systems neuroscience: Expanding perspectives.

Current opinion in neurobiology·2025
Same author

Computational basis of hierarchical and counterfactual information processing.

Nature human behaviour·2025
Same journal

A large brain adds new types of neurons: Molecular and functional signatures of spindle neurons in the human neocortex.

Trends in neurosciences·2026
Same journal

Exercise as a regulator of glymphatic function.

Trends in neurosciences·2026
Same journal

The neural basis of laughter.

Trends in neurosciences·2026
Same journal

Enteric neuroimmune interactions in health and disease.

Trends in neurosciences·2026
Same journal

Atomic insights into the physiological and functional diversity of NMDA receptors.

Trends in neurosciences·2026
Same journal

Cognitive functions of the GPe.

Trends in neurosciences·2026
See all related articles

Related Experiment Video

Updated: Nov 24, 2025

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
05:12

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

Published on: September 18, 2017

547.9K

A Network Perspective on Sensorimotor Learning.

Hansem Sohn1, Nicolas Meirhaeghe2, Rishi Rajalingham1

  • 1McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Trends in Neurosciences
|December 22, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework to understand brain learning, connecting synaptic changes to neural populations and behavior. It explores principles of sensorimotor learning across multiple scales.

Keywords:
dimensionalityinternal modelsneural plasticityneural populationsensorimotor learningstate space framework

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

21.7K
Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
05:05

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

1.9K

Related Experiment Videos

Last Updated: Nov 24, 2025

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
05:12

Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

Published on: September 18, 2017

547.9K
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

21.7K
Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
05:05

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

1.9K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Biology

Background:

  • Learning involves changes at individual synapses, as established by Cajal.
  • Recent advances emphasize the role of complex neural population interactions in learning.
  • A gap exists in understanding learning across different scales, from synapses to behavior.

Purpose of the Study:

  • To develop a conceptual framework bridging synaptic, neuronal, and behavioral scales of learning.
  • To explore principles guiding sensorimotor learning across these scales.
  • To provide a foundation for future research in learning and memory.

Main Methods:

  • Development of a conceptual framework.
  • Exploration of principles using the proposed framework.
  • Integration of knowledge from synaptic plasticity to systems neuroscience.

Main Results:

  • A unified framework is proposed to connect micro- and macro-level learning mechanisms.
  • Key principles governing sensorimotor learning across scales are elucidated.
  • The framework facilitates understanding of how neural populations contribute to behavioral adaptation.

Conclusions:

  • Bridging scales is crucial for a comprehensive understanding of learning.
  • The proposed framework offers a novel perspective on sensorimotor learning.
  • This work lays the groundwork for future experimental and theoretical investigations into brain plasticity and learning.