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Open access Aug 2026

Dygenn dynamic Gaussian weighted evolving Spiking Neural Network model for enhanced neurological disease detection

A novel SNN model, Dynamic Gaussian-Weighted Evolving Spiking Neural Network (DyGENN) is developed and applied for the detection of Parkinson’s disease and epileptic seizure and outperforms existing models in both scenarios, suggesting its potential for broader application to other neurological conditions characterized by structured biomarker data.

Priya Das, S. Nanda, P. K. Sahoo et al. · 0 citations