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 Concept Videos

Information Processing Approach01:30

Information Processing Approach

207
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
207
Working Memory01:24

Working Memory

468
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
468
Parallel Processing01:20

Parallel Processing

329
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
329
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

1.8K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
1.8K
Storage01:23

Storage

146
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
146
Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

1.8K
The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Effects of Exercise and Intensive Vascular Risk Reduction on Cognitive Function in Older Adults: A Randomized Clinical Trial.

JAMA neurology·2026
Same author

Cerebral Blood and Cerebrospinal Fluid Flow Dynamics in Endurance Athletes: Associations With Aortic Recoil and Heart Rate.

Scandinavian journal of medicine & science in sports·2026
Same author

Plasma p-tau217 and <i>APOE</i> genotype: Prodromal Alzheimer's disease staging.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Coupling between global brain blood oxygen level-dependent activity and cerebrospinal fluid dynamics in young endurance athletes.

Experimental physiology·2026
Same author

Deep learning-enabled speckle reduction for cleared-sample coherent scattering tomography.

bioRxiv : the preprint server for biology·2026
Same author

Design of a Bandgap Reference with a High PSRR and Strong Load-Driving Capability.

Micromachines·2026

Related Experiment Video

Updated: Oct 4, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

Brain information processing capacity modeling.

Tongtong Li1, Yu Zheng2, Zhe Wang2

  • 1Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA. tongli@msu.edu.

Scientific Reports
|February 10, 2022
PubMed
Summary

This study introduces a mathematical model linking brain region activity to information processing capacity. Higher capacity correlates with lower neuronal activity and faster responses, aiding in understanding cognitive task performance.

More Related Videos

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.2K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

693

Related Experiment Videos

Last Updated: Oct 4, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.2K
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

693

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Neuroimaging

Background:

  • Neuronal activity underlies human information processing, but its quantitative link to processing capacity is unknown.
  • Understanding this relationship is key to modeling brain dynamics and cognitive functions.

Purpose of the Study:

  • To develop and validate a mathematical model for brain region information processing capacity.
  • To investigate the relationship between processing capacity, neuronal activity, and behavioral performance.

Main Methods:

  • Developed a mathematical model incorporating neuronal activity, input storage, and information arrival rate.
  • Applied the model to functional magnetic resonance imaging (fMRI) data from a flanker task in young and older adults.

Main Results:

  • Higher information processing capacity was associated with reduced neuronal activity and quicker reaction times.
  • The model's estimation of processing capacity successfully predicted age- and task-related differences in reaction times.

Conclusions:

  • The validated model provides a framework for quantifying brain region information processing capacity.
  • This approach can advance studies on predictive coding, Bayes-optimal decision-making, and neurodegenerative changes in cognitive function.