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

Dynamic coordination and segregation mechanisms in higher cortex for parallel task processing.

Shuting Wang1, Yun Zhu2, Chunyue Li3

  • 1School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong 999077, China; Department of Neuroscience, College of Biomedicine, City University of Hong Kong, Hong Kong 999077, China.

Neuron
|June 29, 2026
PubMed
Summary

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

Scalable Manufacturing of Amino Acid-Based Piezoelectric Biocrystal Films.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Proton lattice radiotherapy for large lung tumors: effects of robust optimization and tumor motion.

Physics in medicine and biology·2026
Same author

Correction: apolipoprotein D downregulation in OSCC: multi-database validation and clinical significance.

BMC medical genomics·2026
Same author

Jiawei Sini San ameliorates cognitive deficits in CUMS depression rats by reshaping dendritic spines through regulating TRPC6-activated ROCK2-Cofilin signaling pathway.

Journal of ethnopharmacology·2026
Same author

Ferroptosis-immune crosstalk in CNS diseases: mechanisms and translational insights.

Frontiers in immunology·2026
Same author

Self-sacrificial ion-exchange recognition driven ultrasensitive photoelectrochemical sensing of silver ions using a dual Z-scheme WO<sub>3</sub>@ZnIn<sub>2</sub>S<sub>4</sub>/CdS heterojunction.

Analytica chimica acta·2026
Same journal

Higher-order thalamic bursts are drivers of attention control.

Neuron·2026
Same journal

Composing trajectories for rapid inference of navigational goals.

Neuron·2026
Same journal

Peri-head distance coding in the mouse brainstem.

Neuron·2026
Same journal

A two-timepoint framework for sensitive and specific single-cell activity screening.

Neuron·2026
Same journal

From first impressions to bonds: The neural dynamics of social relationships.

Neuron·2026
Same journal

Early visual experience elicits cellular and functional plasticity in the retina and alters behavior.

Neuron·2026
See all related articles
This summary is machine-generated.

The brain flexibly reallocates neural resources for dual-task processing. Training optimizes performance through neural reorganization, enhancing parallel task management.

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Computational Neuroscience

Background:

  • The brain must process multiple tasks simultaneously in dynamic environments.
  • Neural resource allocation and reorganization during dual-task learning are not well understood.

Purpose of the Study:

  • To investigate how neural resources are allocated and reorganized across tasks during dual-task processing.
  • To understand the cortical dynamics underlying parallel task management and learning.

Main Methods:

  • Developed a novel dual-task paradigm in mice.
  • Utilized chronic two-photon imaging and optogenetic manipulations.
  • Employed recurrent neural network models to analyze cortical dynamics.

Main Results:

Keywords:
calcium imagingcognitive capacitymultitaskrecurrent neural networksecondary motor cortex

Related Experiment Videos

  • Task interference stems from bottlenecks in shared neurons and reduced activity in non-shared populations.
  • Reduced activity in non-shared neurons facilitates rapid inter-task coordination and early dual-task success.
  • Training leads to multi-level reorganization, including neuron recruitment and task representation segregation.
  • Network models incorporating these schemes accelerate dual-task learning.

Conclusions:

  • Cortical circuits dynamically redistribute and restructure resources to support parallel task processing.
  • Neural coordination and segregation are crucial mechanisms for efficient dual-task learning.
  • Findings provide insights into the neural basis of cognitive flexibility and multitasking.