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

Intelligence01:27

Intelligence

8.6K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.6K
Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K
Exponential Functions with Base e01:30

Exponential Functions with Base e

244
Exponential functions with base e are essential for modeling continuous processes of growth and decay. The constant e, approximately 2.718, naturally arises in systems where change occurs proportionally to the current value. A positive exponent represents continuous growth, while a negative exponent represents continuous decay. These functions are especially useful for describing situations where change happens smoothly over time rather than in discrete steps.One clear example of exponential...
244
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.9K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.1K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.1K
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

10.0K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
10.0K

You might also read

Related Articles

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

Sort by
Same author

Community Integration as a Key Role of the Rural Primary Care Physical Therapist: A Qualitative Case Study.

Physical therapy·2026
Same author

Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference.

Neural computation·2026
Same author

Clinical competencies for using generative AI in patient care.

BMJ (Clinical research ed.)·2025
Same author

How generative AI affects patient agency.

BMJ (Clinical research ed.)·2025
Same author

Generative AI and the changing dynamics of clinical consultations.

BMJ (Clinical research ed.)·2025
Same author

The digital Balint: using AI in reflective practice.

Education for primary care : an official publication of the Association of Course Organisers, National Association of GP Tutors, World Organisation of Family Doctors·2024
Same journal

Developmental trajectories of vocal behaviors in common marmosets as a reference framework for neurobehavioral studies.

Frontiers in neural circuits·2026
Same journal

Fleeing is believing: adaptive behavior under social threat as an inference process.

Frontiers in neural circuits·2026
Same journal

A modular and flexible pipeline for intraoperative electrode reconstruction and localization in patients with brain lesions.

Frontiers in neural circuits·2026
Same journal

Functional implications of atypical action potential generation in the (patho)physiological brain: from developmental program to glioma.

Frontiers in neural circuits·2026
Same journal

Loss of function of Noggin inhibits glial scar formation and motor function recovery after spinal cord injury.

Frontiers in neural circuits·2026
Same journal

Cross domain consistency of aesthetic preference-driven social behavior.

Frontiers in neural circuits·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

In Vivo Targeting of Neural Progenitor Cells in Ferret Neocortex by In Utero Electroporation
07:03

In Vivo Targeting of Neural Progenitor Cells in Ferret Neocortex by In Utero Electroporation

Published on: May 6, 2020

6.4K

A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex.

Jeff Hawkins1, Marcus Lewis1, Mirko Klukas1

  • 1Numenta, Inc., Redwood City, CA, United States.

Frontiers in Neural Circuits
|January 29, 2019
PubMed
Summary
This summary is machine-generated.

This study proposes a novel location-based framework for neocortex function, suggesting grid cells throughout the brain support object representation and learning. This framework explains how the neocortex models object compositionality and behaviors.

Keywords:
cortical columngrid cellhierarchyneocortexneocortical theoryobject recognition

More Related Videos

Electroporation of Sliced Human Cortical Organoids for Studies of Gene Function
07:13

Electroporation of Sliced Human Cortical Organoids for Studies of Gene Function

Published on: November 29, 2024

1.9K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.2K

Related Experiment Videos

Last Updated: Jan 30, 2026

In Vivo Targeting of Neural Progenitor Cells in Ferret Neocortex by In Utero Electroporation
07:03

In Vivo Targeting of Neural Progenitor Cells in Ferret Neocortex by In Utero Electroporation

Published on: May 6, 2020

6.4K
Electroporation of Sliced Human Cortical Organoids for Studies of Gene Function
07:13

Electroporation of Sliced Human Cortical Organoids for Studies of Gene Function

Published on: November 29, 2024

1.9K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.2K

Area of Science:

  • Neuroscience
  • Cognitive Science

Background:

  • The function of the neocortex remains largely unknown.
  • Grid cells in the entorhinal cortex are known to represent an animal's location in its environment.

Purpose of the Study:

  • To propose a novel framework for understanding neocortex function.
  • To investigate the potential presence and role of grid cells within the neocortex.

Main Methods:

  • Theoretical framework development.
  • Review of recent evidence on grid cell-like neurons in the neocortex.

Main Results:

  • Proposed existence of grid cells throughout the neocortex, in every region and cortical column.
  • Hypothesized that cortical grid cells represent the location of multiple features relative to objects.
  • Suggested neocortex utilizes entorhinal cortex and hippocampus mechanisms for object structure learning.

Conclusions:

  • The neocortex may function within a location-based framework, with each cortical column learning complete object models.
  • This framework offers insights into object compositionality, behaviors, and distributed object representations.
  • The conserved circuitry across cortical regions supports a universal, location-based learning and representation mechanism.