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

Perceptual Constancy01:12

Perceptual Constancy

1.8K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.8K
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

824
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
824
Auditory Perception01:17

Auditory Perception

1.5K
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
1.5K
Factors Affecting Perception01:25

Factors Affecting Perception

3.3K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
3.3K
Parallel Processing01:20

Parallel Processing

961
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...
961
Perception01:28

Perception

1.8K
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Decoupled echo state networks with lateral inhibition.

Neural networks : the official journal of the International Neural Network Society·2007
Same author

A novel model-based hearing compensation design using a gradient-free optimization method.

Neural computation·2005
Same author

The cocktail party problem.

Neural computation·2005
Same author

Chaotic dynamics of sea clutter.

Chaos (Woodbury, N.Y.)·2003
Same author

On different facets of regularization theory.

Neural computation·2002

Related Experiment Video

Updated: May 6, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.2K

Improved sparse coding under the influence of perceptual attention.

Ashkan Amiri1, Simon Haykin

  • 1Cognitive Systems Laboratory, McMaster University, Hamilton, Ontario L8S 4K1, Canada amiria2@mcmaster.ca.

Neural Computation
|November 12, 2013
PubMed
Summary

This study enhances sparse coding algorithms by integrating perceptual attention, inspired by the brain. This approach filters irrelevant data and boosts relevant information, improving signal processing performance.

More Related Videos

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

8.8K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

8.8K

Related Experiment Videos

Last Updated: May 6, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.2K
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

8.8K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

8.8K

Area of Science:

  • Neuroscience
  • Signal Processing
  • Cognitive Science

Background:

  • Sparse coding is a valuable technique for natural data representation in neuroscience and signal processing.
  • Bridging the gap between neuroscience and engineering can enhance sparse coding performance.

Purpose of the Study:

  • To improve sparse coding algorithm performance by incorporating principles from cognitive neuroscience.
  • To develop a novel algorithm inspired by the human brain's perceptual attention mechanisms.

Main Methods:

  • The study builds on the localized perception-action cycle and perceptual attention.
  • An information filter, rooted in Bayesian inference, is proposed for algorithmic implementation.
  • Wirtinger calculus is introduced for handling complex-valued data in radar applications.

Main Results:

  • Computer experiments demonstrate performance improvements in sparse coding.
  • Simulated and real-life radar data were used to validate the proposed methods.
  • The integration of perceptual attention effectively enhances relevant information while filtering irrelevant data.

Conclusions:

  • The proposed information filter, based on perceptual attention, offers a pathway to enhance sparse coding.
  • The novel algorithm shows promise for improving data representation in complex scenarios.
  • Interdisciplinary approaches combining neuroscience and engineering yield significant advancements in signal processing.