activity
20192026
most citedA Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

math.PR2026

Spiking Neural Networks with Elephant Reinforcement

Fernando A. Najman, Ioannis Papageorgiou, Sabricia K. Cauanny A. da Silveira

We introduce a finite stochastic spiking-neuron network with Elephant-type memory, in which past firing activity modifies future excitability through a reinforcement-dependent thre…

stat.ME2026

Mixed Gaussian Projections for Two-Sample Testing of Functional Data

Fernando A. Najman, Marcela Svarc

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…

stat.ME2023

Clustering Sets of Functional Data by Similarity in Law

Antonio Galves, Fernando Najman, Marcela Svarc +1

We introduce a new clustering method for the classification of functional data sets by their probabilistic law, that is, a procedure that aims to assign data sets to the same clust…

q-bio.NC2023

The brain uses renewal points to model random sequences of stimuli

Fernando A. Najman, Antonio Galves, Marcela Svarc +1

It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of…

q-bio.NC2020★ 1 cited

Fingerprints of data compression in EEG sequences

F. A. Najman, A. Galves, C. D. Vargas

It has been classically conjectured that the brain compresses data by assigning probabilistic models to sequences of stimuli. An important issue associated to this conjecture is wh…

cs.PL2020

NetPyNE implementation and rescaling of the Potjans-Diesmanncortical microcircuit model

Cecilia Romaro, Fernando Araujo Najman, William W Lytton +2

The Potjans-Diesmann cortical microcircuit model is a widely used model originallyimplemented in NEST. Here, we re-implemented the model using NetPyNE, a high-level Python interfac…

cs.NE2019★ 1 cited

A Numerical Study of the Time of Extinction in a Class of Systems of Spiking Neurons

Cecilia Romaro, Fernando Araujo Najman, Morgan André

In this paper we present a numerical study of a mathematical model of spiking neurons introduced by Ferrari et al. in an article entitled Phase transition forinfinite systems of sp…