Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Motor and Sensory Areas of the Cortex

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor...

Somatosensory, Motor, and Association Cortex

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...

You might also read

Related Articles

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

Sort by

Same author

Multimodal characterization of variation in neuronal types in the mouse basal ganglia.

bioRxiv : the preprint server for biology·2026

Same author

Connecting single-cell transcriptomes to projectomes in the mouse visual cortex.

Nature·2026

Same author

Conserved Cell Type Signatures Across the Brainstem and Spinal Cord in the Mouse Central Nervous System.

bioRxiv : the preprint server for biology·2026

Same author

Learning using switching synaptic plasticity rules.

bioRxiv : the preprint server for biology·2026

Same author

Brain-wide topographic coordination of rotating waves.

Science (New York, N.Y.)·2026

Same author

Frailty in Children and Adolescents With Acute Lymphoblastic Leukemia or Lymphoblastic Lymphoma Receiving Maintenance Chemotherapy-A Pilot Study.

Journal of pediatric hematology/oncology·2026

Same journal

Neural timescales from a computational perspective.

Nature neuroscience·2026

Same journal

Author Correction: Spinal cord Tau pathology induces tactile deficits and cognitive impairment in Alzheimer's disease via dysregulation of CCK neurons.

Nature neuroscience·2026

Same journal

Hippocampal theta sweeps indicate goal direction during navigation.

Nature neuroscience·2026

Same journal

Just how goal-directed are hippocampal theta sweeps, anyway?

Nature neuroscience·2026

Same journal

Goal-directed hippocampal theta sweeps during memory-guided navigation.

Nature neuroscience·2026

Same journal

Connectomic evidence that ordered activity drives neuromuscular network formation.

Nature neuroscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 20, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Integrating multimodal data to understand cortical circuit architecture and function.

Anton Arkhipov¹, Nuno da Costa², Saskia de Vries³

¹Allen Institute, Seattle, WA, USA. antona@alleninstitute.org.

Nature Neuroscience

|March 25, 2025

Summary

This summary is machine-generated.

New technologies enable detailed study of the nervous system. Integrating multimodal data, especially in the mouse visual cortex, advances our understanding of brain architecture and function.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: May 20, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Area of Science:

Neuroscience
Systems Neuroscience
Computational Neuroscience

Background:

Rapid advancements in neurotechnologies facilitate large-scale, high-detail investigations of the nervous system.
A growing trend involves combining diverse techniques to establish direct links between different data modalities.

Purpose of the Study:

To review approaches for integrating multimodal data in the mouse visual cortex.
To highlight the role of computation and theory in analyzing and modeling neuroscience data.

Main Methods:

Review of techniques for integrating data on cortical cell types, connectivity (area, cell type, and single-cell levels), and in vivo neural activity.
Emphasis on computational and theoretical contributions to data analysis and modeling.

Main Results:

The mouse visual cortex serves as a key model system for multimodal data integration.
Integration of diverse data types is crucial for advancing understanding of neural systems.

Conclusions:

Integrative approaches, coupled with open data and tool sharing, are essential for modern neuroscience.
These methods enhance comprehension of brain architecture, mechanisms, and function.