Computational Intelligence and Neuroscience

Advances in Machine Learning for Computational Neural Modeling for Visual Recognition


Publishing date
01 Feb 2023
Status
Published
Submission deadline
07 Oct 2022

Lead Editor

1Massey University, Wellington, New Zealand

2Xidian University, Xi'an, China

3University College Dublin, Dublin, Ireland


Advances in Machine Learning for Computational Neural Modeling for Visual Recognition

Description

In recent years, neurological modeling and simulations have demonstrated great potential in modeling and data processing of various applications, such as face recognition, image processing, voice recognition, medical diagnosis, and signal processing. However, the growing amount of big data presents increasing challenges to the modeling and simulation of neural networks at various levels under diverse boundary conditions. Advanced methodologies and technologies are necessary to generate biological neural parameters from abundant data, in order to better depict and optimize neural network models.

Machine learning (ML) technologies, especially deep learning, have unpreceded capacities in feature extraction and function fitting in visual recognition. They have been utilized to solve many complex problems in object detection and other fields. The ML provides a valid way to recognize complex patterns and carry out regression analysis, eliminating the need for building or solving the underlying physical models. Therefore, the relevant technologies contribute immensely to the construction and optimization of computational neural models for visual recognition.

This Special Issue aims to bring together researchers from ML and computational neuroscience, and stimulate collaboration between them in the visual recognition field. It intends to bridge the gap between neuroscience research of biological models, and the latest studies on computational methodologies and tools for visual recognition, which cover the entire process of modeling and analysis. We welcome original research and review articles from systems/cognitive and computational neuroscience, to neuroimaging and neural signal processing.

Potential topics include but are not limited to the following:

  • ML-based computational neural models for visual recognition
  • Modeling and optimization of biological neural networks for visual recognition
  • Neural network-based ML algorithms for visual recognition
  • Novel ML methods to train biological neural networks for visual recognition
  • Simulation of computational neural models for visual recognition
  • Domain-specific for visual recognition applications of ML-based computational neural modeling

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4816549
  • - Research Article

Lite-3DCNN Combined with Attention Mechanism for Complex Human Movement Recognition

Maochang Zhu | Sheng Bin | Gengxin Sun
  • Special Issue
  • - Volume 2022
  • - Article ID 9521107
  • - Research Article

A Method for Evaluating the Green Economic Efficiency of Resource-Based Cities Based on Neural Network Improved DEA Model

Zhifeng Shen | Ning Liu | ... | Zhengguang Kang
  • Special Issue
  • - Volume 2022
  • - Article ID 9592200
  • - Research Article

A Computational Neural Network Model for College English Grammar Correction

Xingjie Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 8937314
  • - Research Article

Construction of a Prediction Model for Distance Education Quality Assessment Based on Convolutional Neural Network

Peizhang Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9635251
  • - Research Article

[Retracted] Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis

Xiuyan Peng | Lunpan Wei | Wei Gao
  • Special Issue
  • - Volume 2022
  • - Article ID 6431776
  • - Research Article

Distributed Intelligent Learning and Decision Model Based on Logic Predictive Control

Yucheng Zhou | Wen Lu | Yingqiu Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 1926227
  • - Research Article

Neural Network Model Design for Landscape Ecological Planning Assessment Based on Hierarchical Analysis

Jing Liu | Xudan Zhou
  • Special Issue
  • - Volume 2022
  • - Article ID 1158509
  • - Research Article

A Comprehensive Quantitative and Biological Neural Network Optimization Model of Sports Industry Structure Based on Knowledge Mapping

Zhaohong Wang | Yang Gao | Wenge Li
  • Special Issue
  • - Volume 2022
  • - Article ID 2424279
  • - Research Article

Adaptive Biological Neural Network Control and Virtual Realization for Engineering Manipulator

Hao Guo | Hongyang Liu | ... | Yao He
  • Special Issue
  • - Volume 2022
  • - Article ID 5611456
  • - Research Article

A Multimodal Convolutional Neural Network Model for the Analysis of Music Genre on Children’s Emotions Influence Intelligence

Wei Chen | Guobin Wu

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