A biological neural network is a system of interconnected neurons in the nervous system that communicate through electrical and chemical signals to process information and coordinate behavior. Individual neurons are linked by synapses, and their collective activity gives rise to functional circuits that underlie per…
A biological neural network is a system of interconnected neurons in the nervous system that communicate through electrical and chemical signals to process information and coordinate behavior. Individual neurons are linked by synapses, and their collective activity gives rise to functional circuits that underlie perception, movement, memory, and cognition. Unlike artificial neural networks, which are computational models loosely inspired by these systems, biological neural networks are physical assemblies of living cells whose connectivity is dynamic, shaped by development, learning, and disease. The strength and pattern of connections among neurons, often described in terms of functional connectivity, can be measured and modeled to understand how distributed brain regions coordinate their activity over time. Research in this journal applying dynamic network analysis of functional connectivity in dementia illustrates how examining temporal patterns of inter-regional coupling can reveal disruptions in brain network organization and inform potential therapeutic implications. This page gathers peer-reviewed, open-access research relevant to neurological science and the study of biological neural networks.
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 2 articles above have been cited 2 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 Biological Neural Network, linking to each citing work.