Author

F. Najman

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Preprint Aug 2026

Spiking Neural Networks with Elephant Reinforcement

A finite stochastic spiking-neuron network with Elephant-type memory is introduced, in which past firing activity modifies future excitability through a reinforcement-dependent threshold, and non-explosion of the nonlinear process is proved.

F. Najman, I. Papageorgiou, Sabricia K. Cauanny A. da Silveira · 1 citation

Preprint Aug 2026

Mixed Gaussian Projections for Two-Sample Testing of Functional Data

Random-projection tests for functional data depend on the probability law used to generate projection directions. A measure has to be selected to generate the random directions in which the data is projected. In $L^2$, probability measures defined by their moments can be discriminated using Gaussian measures. The covar...

F. Najman, Marcela Svarc · 0 citations