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

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 the...

Higher Mental Functions of Brain: Learning and Memory

Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or playing an...

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 cortex.

Lobes of the Cerebrum

Lobes of the Cerebrum

The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
Frontal lobe
The frontal lobes, located behind the forehead, are the command center of our brain, controlling personality, intelligence, and voluntary muscle movements.

Role of Cerebellum and Prefrontal Cortex in Memory

Role of Cerebellum and Prefrontal Cortex in Memory

The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the cerebellum's...

Association Areas of the Cortex

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

You might also read

Related Articles

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

Sort by

Same author

Complementary functional gradient and SFC analyses reveal network abnormalities in adolescent depression subtypes.

Behavioural brain research·2026

Same author

Adrenal adenoma mimicking angiomyolipoma: A diagnostic pitfall.

The Journal of international medical research·2026

Same author

A novel lumen-apposing metal stent for EUS-guided drainage of pancreatic fluid collections: A multicenter prospective study.

Endoscopic ultrasound·2026

Same author

Streptococcus mutans exacerbates gut microbiota dysbiosis in SHANK3 <sup><b>-/-</b></sup> autism model mice via the oral-gut axis.

Journal of oral microbiology·2026

Same author

Synergistic regulation mechanism of N in sugarcane-soil systems through <sup>15</sup>N tracer and ecological stoichiometry.

Frontiers in plant science·2026

Same author

ASA-ED: Automated Stress Assessment Via Emotion-Awareness-Driven Deep Hybrid Learning Fusing MTF and RP.

IEEE journal of biomedical and health informatics·2026

Search research articles

Related Experiment Video

Updated: Jun 17, 2026

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

Parietal cortex and information granularity in labile and stable learning.

Xiuzhen Wang¹, Ning Zhong, Shengfu Lu

¹The International WIC Institute bCollege of Computer Science, Beijing University of Technology, Beijing, China.

|December 10, 2009

Summary

This summary is machine-generated.

Rule learning impacts brain activity. Stable rule learning, especially with high-granularity information, shows behavioral advantages and engages the left parietal cortex more than labile learning.

More Related Videos

Visualization of Cortical Modules in Flattened Mammalian Cortices

Visualization of Cortical Modules in Flattened Mammalian Cortices

Published on: January 22, 2018

In Vivo Calcium Imaging of Granule Cells in the Dentate Gyrus of Hippocampus in Mice

In Vivo Calcium Imaging of Granule Cells in the Dentate Gyrus of Hippocampus in Mice

Published on: August 2, 2024

Related Experiment Videos

Last Updated: Jun 17, 2026

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Slice Patch Clamp Technique for Analyzing Learning-Induced Plasticity

Published on: November 11, 2017

Visualization of Cortical Modules in Flattened Mammalian Cortices

Visualization of Cortical Modules in Flattened Mammalian Cortices

Published on: January 22, 2018

In Vivo Calcium Imaging of Granule Cells in the Dentate Gyrus of Hippocampus in Mice

In Vivo Calcium Imaging of Granule Cells in the Dentate Gyrus of Hippocampus in Mice

Published on: August 2, 2024

Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Information granularity influences cognitive processes.
Rule learning is fundamental to human cognition and decision-making.
The parietal cortex plays a crucial role in cognitive tasks.

Purpose of the Study:

To investigate how information granularity affects rule learning.
To examine parietal cortex activity during labile and stable rule learning.
To compare behavioral and neural correlates of different learning granularities.

Main Methods:

Utilized two homogeneous Boolean arithmetic tasks.
Employed functional magnetic resonance imaging (fMRI) to measure brain activity.
Analyzed behavioral data for rule learning advantages.

Main Results:

Stability-related behavioral advantages were observed.
Distinct parietal cortex regions showed increased activity during Boolean problem-solving.
Labile rule learning (low granularity) correlated with bilateral parietal activation.
Stable rule learning (high granularity) correlated with left parietal activation.

Conclusions:

Information granularity significantly modulates rule learning and associated neural activity.
The parietal cortex differentially engages based on learning stability and information granularity.
Findings highlight the importance of information structure in cognitive learning and neural processing.