International Journal of Neural Systems

Aims & Scope✦ Inferred from recent articles

This journal focuses on computational neuroscience and neural engineering, particularly the analysis and modeling of neural signals like electroencephalograms (EEG) and local field potentials (LFPs). Research includes developing advanced machine learning and deep learning frameworks for tasks such as seizure detection and prediction, diagnosing neurological disorders like Parkinson's disease and schizophrenia, and understanding brain activity during cognitive and social tasks. The journal also explores novel neural network architectures, including spiking neural networks and transformer-based models, for improved signal processing and feature extraction.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification