Research Topic · Peer-Reviewed

Neural Networks

The term neural networks refers to two related concepts. In neuroscience, a neural network is an interconnected ensemble of neurons whose synaptic connections give rise to coordinated information processing, underlying perception, cognition, and behavior; the analysis of such biological networks includes functional …

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 46× across the literature 🔖 ISSN 2470-5020 🗓 Reviewed June 2026

Overview

The term neural networks refers to two related concepts. In neuroscience, a neural network is an interconnected ensemble of neurons whose synaptic connections give rise to coordinated information processing, underlying perception, cognition, and behavior; the analysis of such biological networks includes functional connectivity, which characterizes how brain regions interact dynamically in health and disease. In computational science, artificial neural networks are mathematical models loosely inspired by biological neurons, composed of layered interconnected units whose weighted connections are adjusted during training to learn patterns from data. These models, including deep learning architectures, excel at classification, prediction, and pattern recognition across large and complex datasets and are widely applied in image analysis, forecasting, and optimization, often combined with other techniques such as genetic algorithms. Themes reflected in the associated literature include genetic algorithms coupled with neural networks to estimate subsurface features, artificial neural network modeling of rainfall and climate data, deep learning and transfer learning for detecting plant leaf diseases, and dynamic network analysis of functional connectivity in dementia. The journal publishes peer-reviewed research relevant to network-based analysis and modeling, including artificial neural network and machine-learning applications and the study of functional connectivity in the nervous system.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 12 articles above have been cited 46 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Neural Networks, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Neurological Research and Therapy (ISSN 2470-5020).

Journal editorial board
Ian J Martins · Australia Giuseppe Lanza · Italy Ion Codreanu · United States

This page summarises published research for orientation; it is not medical or professional advice.