The present work focuses on three notions about spiking neural P systems (SN P systems),
namely normal forms, homogeneous systems, and software tools for easy access and visual …

Sorting and ranking supervision is a method for training neural networks end-to-end based
on ordering constraints. That is, the ground truth order of sets of samples is known, while …

Under the active area of membrane computing, Spiking Neural P systems (SN P systems)
are models of computations which take inspirations from biological neurons, eg by the …

Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have
been previously developed with the use of a genetic algorithm framework. So far, these …

Spiking Neural P systems (SNP system) are a kind of distributed and parallel computational
model under membrane computing inspired by how neurons typically communicate with …

Spiking neural P (SN P) systems are models of computation inspired by spiking neurons and
part of the third generation of neuron models. SN P systems are equivalent to Turing …

Spiking neural P (SN P) systems are models of computation inspired by spiking neurons and
part of the third generation of neuron models. SN P systems are equivalent to Turing …

The (hierarchical) clustering (scene segmentation in particular) and binding (feature
integration) problem solution in cortical neural network together with cortical subnetworks …