The Journal of Mathematical Neuroscience publishes research on mathematical models of neural systems. Articles focus on understanding brain activity, neural dynamics, and information processing through theoretical and computational approaches. Topics include neural mass models, firing rate models, conductance-based neuron models, and neural field models, often employing techniques from dynamical systems theory, statistical physics, and signal processing.
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Publication & Citation Trend
Articles published
Times cited
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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.
Neuroscience (miscellaneous)Q3
Subject Classification
Scopus Categories
Neuroscience (miscellaneous)
Research Topics (OpenAlex)
Neural dynamics and brain functionstochastic dynamics and bifurcationNonlinear Dynamics and Pattern FormationVisual perception and processing mechanismsAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringFunctional Brain Connectivity StudiesNeural Networks and ApplicationsNeuroscience and Neuropharmacology ResearchAdvanced Thermodynamics and Statistical Mechanics