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

Adaptive response organizer network for space-time patterns in low level vision.

Homayoun Navabi1, Arun Agarwal

  • 1Department of Computer and Information Sciences, Artificial Intelligence Laboratory, University of Hyderabad, Hyderabad, India

Neural Networks : the Official Journal of the International Neural Network Society
|March 29, 2003
PubMed
Summary

We introduce the Adaptive Response Organizer (ARO), a novel artificial neural network model inspired by retinal processing. This model enhances feature abstraction and object identification in artificial visual systems.

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

Concomitant Fat Embolism Syndrome and Pulmonary Embolism in an Orthopedic Trauma Patient.

The Journal of the Association of Physicians of India·2025
Same author

The Use of Recombinant Activated Factor VII for Controlling Life-threatening Bleeding in Severe Dengue Fever.

The Journal of the Association of Physicians of India·2025
Same author

Preclinical pharmacokinetics, absolute bioavailability and dose proportionality evaluation of bioactive phytochemical Withanone in rats.

Bioorganic chemistry·2025
Same author

Pancreastatin inhibitor PSTi8 improves ovarian health in Letrozole-HFD induced PCOS rats by ameliorating metabolic and reproductive parameters.

Steroids·2025
Same author

Prevalence of Loneliness in Older Adults in Rural Population and Its Association with Depression and Caregiver Abuse.

Indian journal of psychological medicine·2024
Same author

Bioavailability enhancement of formononetin by incorporation of natural bioenhancer in phospholipid complex.

Pharmaceutical development and technology·2024

Area of Science:

  • Computational Neuroscience
  • Artificial Intelligence
  • Computer Vision

Background:

  • Retinal neural organization is crucial for visual processing.
  • Artificial neural networks (ANNs) require advanced models for visual systems.
  • Understanding response dynamics in ANNs is key for AI development.

Purpose of the Study:

  • To present a biologically-inspired artificial neural network model for retinal response organization.
  • To develop a framework for analyzing response dynamics in artificial visual systems.
  • To create a model for feature abstraction and object identification under varied conditions.

Main Methods:

  • Developed the Adaptive Response Organizer (ARO), an ON-centre OFF-surround ANN model.
  • Utilized retinal functionality principles for a self-organized scheme.

Related Experiment Videos

  • Designed a three-layer architecture with vertical and lateral information flow.
  • Modeled visually evoked activation maps for grayscale input patterns.

    • Main Results:

    • The ARO model demonstrates effective feature abstraction and object identification.
    • The architecture successfully forms visually evoked activation maps.
    • The model exhibits antagonistic centre-surround characteristics for enhanced contrast and change detection.
    • Achieved rapid adaptation to transient and steady-state stimuli.

    Conclusions:

    • The Adaptive Response Organizer provides a robust framework for artificial visual systems.
    • Biologically-inspired models enhance the capabilities of ANNs in visual processing.
    • The ARO's design promotes efficient optical scene interpretation through early-stage visual processing principles.