We propose a new supervised learning rule for multilayer spiking neural networks (SNNs)
that use a form of temporal coding known as rank-order-coding. With this coding scheme, all …

Optimization Spiking Neural P System (OSNPS) is the first membrane computing model to
directly derive an approximate solution of combinatorial problems with a specific reference …

Several variants of spiking neural P systems (SNPS) have been presented in the literature to
perform arithmetic operations. However, each of these variants was designed only for one …

This paper proposes a new variant of spiking neural P systems (in short, SNP systems),
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …

As well known, the huge memory and compute costs of both artificial neural networks
(ANNs) and spiking neural networks (SNNs) greatly hinder their deployment on edge …

Based on the feature and communication of neurons in animal neural systems, spiking
neural P systems (SN P systems) were proposed as a kind of powerful computing model …

Membrane computing models are parallel and distributed natural computing models. These
models are often referred to as P systems. This paper proposes a novel multi-behaviors co …

While the original goal for developing robots is replacing humans in dangerous and tedious
tasks, the final target shall be completely mimicking the human cognitive and motor …

Due to the inefficiency of multiple binary images encryption, a parallel binary image
encryption framework based on the typical variants of spiking neural networks, spiking …

Dendrite P systems (DeP systems) are a recently introduced neural-like model of
computation. They provide an alternative to the more classical spiking neural (SN) P …