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

Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
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...
2.5K
Learning Disabilities01:25

Learning Disabilities

579
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...
579
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

451
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...
451
Observational Learning01:12

Observational Learning

853
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...
853
Introduction to Learning01:18

Introduction to Learning

980
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...
980

You might also read

Related Articles

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

Sort by
Same author

High-fidelity but hypometric spatial localization of afterimages across saccades.

Science advances·2026
Same author

Feedback of peripheral saccade targets to early foveal cortex.

eLife·2026
Same author

Object continuity through invisible retinal motion at saccadic speed.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Microsaccades Do Not Give Rise to a Conscious Feeling of Agency for Their Sensorimotor Consequences in Visual Perception.

Journal of cognition·2025
Same author

Early visual signatures and benefits of intra-saccadic motion streaks.

PLoS computational biology·2025
Same author

The magnitude and time course of pre-saccadic foveal prediction depend on the conspicuity of the saccade target.

eLife·2025
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same journal

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

11.1K

A generative learning model for saccade adaptation.

Carlos R Cassanello1,2, Florian Ostendorf3, Martin Rolfs1,2

  • 1Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.

Plos Computational Biology
|August 10, 2019
PubMed
Summary
This summary is machine-generated.

This study reveals how the oculomotor system adapts saccadic eye movements to visual shifts. A state-space model accurately predicts adaptation gain, offering insights into sensorimotor learning and future research designs.

More Related Videos

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.5K
Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.7K

Related Experiment Videos

Last Updated: Jan 21, 2026

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

11.1K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.5K
Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.7K

Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Oculomotor system plasticity is crucial for accurate saccadic eye movements.
  • Saccades direct foveal vision to regions of interest.
  • Understanding sensorimotor learning in saccades is key to visual-motor control.

Purpose of the Study:

  • To comprehensively describe sensorimotor learning in saccades.
  • To investigate adaptation to intra-saccadic shifts (ISS) using a double-step paradigm.
  • To model the evolution of saccade gain over time.

Main Methods:

  • Induced continuous adaptation of saccade amplitudes via a double-step paradigm with intra-saccadic shifts (ISS).
  • Systematically varied ISS magnitude sinusoidally with trial number.
  • Applied state-space-based linear time-invariant systems (LTIS) as generative models.

Main Results:

  • Adaptation gain exhibited a periodic response to ISS frequency with a delay.
  • Observed a simultaneous drift towards lower saccade gains.
  • LTIS models accurately predicted adaptation gain, incorporating forgetting rates and biases.

Conclusions:

  • LTIS provide suitable generative models for saccade gain adaptation.
  • Model parameters correlate with ISS features, allowing for refined model structures.
  • Findings can guide future experimental designs in sensorimotor adaptation research.