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

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

1.8K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
1.8K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.0K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.0K
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.9K
Parallel Processing01:20

Parallel Processing

374
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
374
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

53
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
53
Information Processing Approach01:30

Information Processing Approach

228
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
228

You might also read

Related Articles

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

Sort by
Same author

Evaluation of RNA Stability and Molecular Biomarkers for Post-Mortem Interval Estimation in Rat Organs.

International journal of molecular sciences·2025
Same author

Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference.

Neural computation·2025
Same author

Correlation of QRDR mutations and MIC levels in fluoroquinolone-resistant <i>Staphylococcus aureus</i> clinical isolates.

Microbiology spectrum·2025
Same author

Active Inference with Dynamic Planning and Information Gain in Continuous Space by Inferring Low-Dimensional Latent States.

Entropy (Basel, Switzerland)·2025
Same author

Postmortem Changes in mRNA Expression and Tissue Morphology in Brain and Femoral Muscle Tissues of Rat.

International journal of molecular sciences·2025
Same author

Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network.

Frontiers in computational neuroscience·2025

Related Experiment Video

Updated: Oct 23, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K

Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working

Jeffrey Frederic Queiẞer1, Minju Jung2, Takazumi Matsumoto3

  • 1Okinawa Institute of Science and Technology, Okinawa 904-0412, Japan jeffrey.queisser@oist.jp.

Neural Computation
|August 19, 2021
PubMed
Summary

This study enhances robot learning generalization by introducing a novel network with an additional visual working memory (VWM) module. This allows robots to better handle unfamiliar objects, mimicking human cognitive abilities.

More Related Videos

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.3K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

Related Experiment Videos

Last Updated: Oct 23, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.3K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

Area of Science:

  • Cognitive Science
  • Robotics
  • Artificial Intelligence

Background:

  • Human generalization allows manipulation of unfamiliar objects and mental imagery for preplanning.
  • Previous work (Jung et al., 2019) explored vision-based, goal-directed robotic planning for block stacking.
  • Robotic systems often struggle with generalization to novel objects or scenarios.

Purpose of the Study:

  • To investigate the mechanisms of generalization in robotic learning.
  • To develop an advanced computational model that improves vision-based, goal-directed planning.
  • To enhance a robot's ability to manipulate unfamiliar objects by extending previous research.

Main Methods:

  • Introduced a large network with dynamically interacting submodules: visual working memory (VWM), visual attention, and an executive network.
  • Incorporated an additional VWM module compared to the previous study.
  • Trained the network using predictive coding and inferred optimal visuomotor plans via active inference.

Main Results:

  • The current model demonstrated significantly improved performance over Jung et al. (2019), particularly with unlearned block colors and textures.
  • Observed generalization was attributed to content-agnostic information processing.
  • Synergistic interaction between the second VWM and other modules led to dissociated memorization and transformation of image content.

Conclusions:

  • The enhanced network architecture, particularly the addition of a second VWM, facilitates superior generalization capabilities in robots.
  • Content-agnostic processing, enabled by module synergy, is key to achieving human-like generalization in robotic manipulation.
  • The findings provide insights into the computational underpinnings of generalization and visuomotor planning.