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 Experiment Videos

Untangling invariant object recognition.

James J DiCarlo1, David D Cox

  • 1McGovern Institute for Brain Research, and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. dicarlo@mit.edu

Trends in Cognitive Sciences
|July 17, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus.

Nature human behaviour·2025
Same author

Neural correlates of visual object recognition in rats.

Cell reports·2025
Same author

The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates.

Annual review of vision science·2024
Same author

A unifying framework for functional organization in early and higher ventral visual cortex.

Neuron·2024
Same author

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?

Advances in neural information processing systems·2024
Same author

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision - CORRIGENDUM.

The Behavioral and brain sciences·2024
Same journal

Misinformation as strategy: Epistemic consequences and the undermining of shared truth.

Trends in cognitive sciences·2026
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
See all related articles

Primates rapidly recognize diverse objects using complex brain mechanisms. This study proposes that neuronal population representations and

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Neuroscience

Background:

  • Primates exhibit remarkable object recognition abilities, processing numerous objects rapidly despite visual variations.
  • The underlying neural mechanisms for this effortless object recognition remain largely unknown.

Purpose of the Study:

  • To elucidate the brain mechanisms enabling rapid and effortless object recognition in primates.
  • To present a graphical framework for understanding the computational challenges in object recognition.

Main Methods:

  • Integration of neurophysiological and computational approaches.
  • Development of a graphical perspective focusing on neuronal population representations and 'object tangling'.
  • Analysis of the primate ventral visual processing stream.

Related Experiment Videos

Main Results:

  • Neuronal population representation format and 'object tangling' are identified as central to object recognition.
  • The primate ventral visual stream employs a strategy where single-neuron invariance is not the primary objective.

Conclusions:

  • The primate ventral visual stream achieves effective object recognition through specific neuronal population coding strategies.
  • Understanding these mechanisms could significantly advance cognitive neuroscience and artificial intelligence.