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

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 because...
Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
Associative Learning01:27

Associative Learning

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...
Cognitive Learning01:21

Cognitive Learning

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...
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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...
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.

You might also read

Related Articles

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

Sort by
Same author

Electroencephalogram spectral power changes signalling the loss of volitional control induced by propofol: a secondary analysis of an observational study in spinal surgery patients.

Canadian journal of anaesthesia = Journal canadien d'anesthesie·2026
Same author

A cortical circuit for orchestrating oromanual food manipulation.

Neuron·2026
Same author

Distinct neural signatures of hippocampal population dynamics during locomotion-in-place.

Scientific reports·2026
Same author

Catching small balls with a power grip and large balls with a precision grip: distinct roles for the reach and grasp.

Experimental brain research·2026
Same author

Corticothalamic communication for action coordination in a skilled motor behavior.

Nature neuroscience·2026
Same author

Thalamic contributions to predictive coding and disconnected consciousness in human volunteers.

British journal of anaesthesia·2025
Same journal

Entamoeba histolytica Gal/GalNAc lectin intermediate subunit as a potential driver of inflammation and epithelial damage in intestinal amebiasis.

Communications biology·2026
Same journal

OMIDIENT: Multiomics Integration for Cancer by Dirichlet Auto-Encoder Networks.

Communications biology·2026
Same journal

KCTD3 deficiency disrupts axon initial segment organization and neurite outgrowth in a neurodevelopmental disorder mouse model.

Communications biology·2026
Same journal

A two-pronged strategy eliminates dissociation artifacts for high-fidelity neuroimmune single-cell transcriptomics.

Communications biology·2026
Same journal

Prospects of DNA nanotechnology in stroke repair and regeneration.

Communications biology·2026
Same journal

A human epithelial co-culture system reveals distinct host cell interaction behaviours for Treponema pallidum.

Communications biology·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2026

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

Rise and subsequent fall in neuro-behavioral coupling during learning a skilled reaching task is revealed by

Sean Tanabe1, Michael Eckert1, Hardeep Ryait1

  • 1Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB, Canada.

Communications Biology
|July 2, 2026
PubMed
Summary
This summary is machine-generated.

Researchers used Artificial Intelligence (AI) to link rat brain activity to behavior. They found neural-behavioral coupling changes during learning, possibly for energy efficiency.

More Related Videos

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

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

Related Experiment Videos

Last Updated: Jul 4, 2026

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

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

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Computational Neuroscience

Background:

  • Understanding the relationship between neuronal activity and animal behavior is a key challenge in neuroscience.
  • Artificial Intelligence (AI) offers advanced methods for analyzing complex, non-linear mappings between neural signals and motor outputs.

Purpose of the Study:

  • To investigate the dynamic relationship between motor cortex activity and rat behavior during motor learning.
  • To explore how neural representations change as animals learn and optimize their performance.

Main Methods:

  • Developed a Generative Adversarial Network (GAN) to reconstruct detailed rat behavior videos from limited neuronal activity.
  • Analyzed the predictability between neuronal activity and behavior across different stages of motor task learning.

Main Results:

  • GAN successfully recreated detailed behavioral videos from sparse neuronal data.
  • Neural-behavioral coupling initially increased with learning, then decreased after task mastery without performance loss.
  • This decrease correlated with a shift from dense to sparse neural representations, suggesting an energy efficiency strategy.

Conclusions:

  • Motor learning involves dynamic changes in neural coding strategies, optimizing for energy efficiency.
  • AI-driven analysis reveals a non-linear link between learning progression and neural-behavioral coupling.
  • The findings suggest that neural networks adapt coding to minimize energy consumption during skill acquisition.