ReviewPublished 6 October 2026A comprehensive review of AI-driven water-quality monitoring and prediction: advances, challenges, and future directionsK. Yukesh Kumar · P. KumaresanFrontiers in Waterdoi 10.3389/frwa.2026.1946412
MethodsPublished 19 August 2026Analyzing rescaling, discretization, and linearization in RNNs for neural system modelingMariano Caruso · Cecilia JarneFrontiers in Computational Neurosciencedoi 10.3389/fncom.2026.1760701
Conceptual AnalysisPublished 14 August 2026Structural and dynamical strategies to prevent runaway excitation in reservoir computingClaus Metzner · Achim Schilling · Andreas Maier · Thomas Kinfe · Patrick KraussFrontiers in Computational Neurosciencedoi 10.3389/fncom.2026.1845838
Original ResearchPublished 30 July 2026Conductance-based reversal potentials in spiking recurrent neural networks enhance energy efficiency and task performanceMiguel Rodrigues · Carmen Gasco-Galvez · Martin VinckFrontiers in Computational Neurosciencedoi 10.3389/fncom.2026.1870593
Original ResearchPublished 5 January 2026Organizational regularities in recurrent neural networksClaus Metzner · Achim Schilling · Andreas Maier · Patrick KraussFrontiers in Complex Systemsdoi 10.3389/fcpxs.2025.1636222
