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

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

An adaptive oppositional grey wolf optimizer for complex engineering problems.

Scientific reports·2026

Same author

Colorectal Polyp Segmentation Based on Deep Learning Methods: A Systematic Review.

Journal of imaging·2025

Same author

Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging.

Scientific reports·2025

Same author

A review of convolutional neural network based methods for medical image classification.

Computers in biology and medicine·2024

Same author

Acne Detection Based on Reconstructed Hyperspectral Images.

Journal of imaging·2024

Same author

Evaluating Nuclear Membrane Irregularity for the Classification of Cervical Squamous Epithelial Cells.

PloS one·2016

Same journal

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026

Same journal

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

IEEE transactions on neural networks and learning systems·2026

Same journal

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026

Same journal

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in Pattern Classification.

IEEE transactions on neural networks and learning systems·2026

Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026

Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 30, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Feature-based ordering algorithm for data presentation of fuzzy ARTMAP ensembles.

Tatt Hee Oong, Nor Ashidi Mat Isa

IEEE Transactions on Neural Networks and Learning Systems

|May 9, 2014

Summary

This summary is machine-generated.

This study introduces a novel data ordering algorithm for fuzzy ARTMAP (FAM) ensembles. This method enhances diversity in FAM ensembles by strategically ordering training data presentation, improving classification performance.

More Related Videos

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Related Experiment Videos

Last Updated: Apr 30, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Area of Science:

Artificial Intelligence
Machine Learning
Computational Intelligence

Background:

Fuzzy ARTMAP (FAM) ensembles are powerful tools for classification tasks.
Ensuring diversity within FAM ensembles is crucial for robust generalization.
Existing methods for generating diverse FAM ensembles have limitations.

Purpose of the Study:

To propose a new ordering algorithm for data presentation in fuzzy ARTMAP ensembles.
To enhance the diversity of categories created within each FAM ensemble member.
To improve the overall generalization performance of FAM ensembles.

Main Methods:

A novel ordering algorithm manipulates the training data presentation order for each FAM ensemble member.
The algorithm biases category creation towards a chosen input feature vector.
Diversity is achieved by varying presentation order based on uncorrelated input features.

Main Results:

Analysis demonstrates that using uncorrelated input features for ordering leads to compulsively diverse categories in FAMs.
The algorithm was evaluated on 10 UCI machine learning benchmark datasets and a cervical cancer dataset.
Experimental results confirm the proposed method generates diverse and well-generalized FAM ensembles.

Conclusions:

The proposed ordering algorithm effectively enhances diversity in fuzzy ARTMAP ensembles.
This approach leads to improved generalization capabilities for classification tasks.
The method shows promise for applications in machine learning and artificial intelligence.