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 Video

Updated: Jun 13, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

Neural attractor dynamics in object recognition.

Valentina Daelli1, Alessandro Treves

  • 1SISSA, Cognitive Neuroscience Sector, Trieste, Italy.

Experimental Brain Research
|May 4, 2010
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

Modeling language evolution using a spin glass approach.

Physical review. E·2026
Same author

Place cells full of sound and fury, signifying nothing.

Neuron·2025
Same author

Continuous Quasi-Attractors dissolve with too much - or too little - variability.

PNAS nexus·2024
Same author

A theory of hippocampal function: New developments.

Progress in neurobiology·2024
Same author

Taking time to compose thoughts with prefrontal schemata.

Experimental brain research·2024
Same author

Déjà vu: A botched memory operation, illegitimate to start with.

The Behavioral and brain sciences·2023
Same journal

Molecular links between reelin downregulation, topoisomerase IIβ alterations, and proteins involved in Alzheimer pathology in human SH-SY5Y neuroblastoma cell line.

Experimental brain research·2026
Same journal

Motor cortex excitability during spine shape-judgment in adolescent idiopathic scoliosis: a TMS motor evoked potential study.

Experimental brain research·2026
Same journal

Trajectory dynamics and endpoint accuracy in targeted ballistic contractions.

Experimental brain research·2026
Same journal

Exploring Sevoflurane promotes hippocampal neuron mitophagy in elderly postoperative cognitive dysfunction by HSP90AA1 based on network pharmacology.

Experimental brain research·2026
Same journal

Loading modulates monosynaptic transmission from spindle primary afferents to motoneurons in humans.

Experimental brain research·2026
Same journal

Energy-dependent cortical injury thresholds in high-frequency transcortical electrical stimulation: a biophysical study in a rat model.

Experimental brain research·2026
See all related articles

Neuroscience research supports attractor dynamics in memory and perception. Monkey studies show these neuronal patterns in infero-temporal cortex during visual categorization tasks.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • A long-standing theory suggests neuronal attractor dynamics underpin memory retrieval and stimulus categorization.
  • Previous empirical evidence primarily supported self-sustained neuronal activity over distinct attractor dynamics.

Purpose of the Study:

  • To investigate empirical support for neuronal attractor dynamics in memory and perception.
  • To differentiate attractor dynamics from alternative hypotheses at the neuronal level.

Main Methods:

  • Analysis of neuronal recordings in monkeys during visual categorization of ambiguous stimuli.
  • Focus on infero-temporal cortex neuronal activity over several hundred milliseconds.

Main Results:

More Related Videos

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

Related Experiment Videos

Last Updated: Jun 13, 2026

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
03:31

End-To-End Deep Neural Network for Salient Object Detection in Complex Environments

Published on: December 15, 2023

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

  • Recent monkey recordings provide evidence for observable attractor dynamics.
  • These dynamics were detected during the categorization of ambiguous visual stimuli.

Conclusions:

  • Neuronal attractor dynamics appear to play a role in memory retrieval and perceptual categorization.
  • Further understanding of state transitions in attractor dynamics could illuminate higher-level cognitive processes.