Matrix representation and simulation algorithm of spiking neural P systems with structural plasticity
ZB Jimenez, FGC Cabarle, RTA de la Cruz… - Journal of Membrane …, 2019 - Springer
In this paper, we create a matrix representation for spiking neural P systems with structural
plasticity (SNPSP, for short), taking inspiration from existing algorithms and representations …
plasticity (SNPSP, for short), taking inspiration from existing algorithms and representations …
Improving gpu web simulations of spiking neural p systems
ANL Odasco, MLM Rey, FGC Cabarle - Journal of Membrane Computing, 2023 - Springer
The utilization of a parallel processor such as the graphics processing unit (GPU) is only
natural for the simulation of spiking neural P systems (SN P systems) because of their …
natural for the simulation of spiking neural P systems (SN P systems) because of their …
Matrix representations of spiking neural P systems: Revisited
HN Adorna - arXiv preprint arXiv:2211.15156, 2022 - arxiv.org
In the 2010, matrix representation of SN P system without delay was presented while in the
case of SN P systems with delay, matrix representation was suggested in the 2017. These …
case of SN P systems with delay, matrix representation was suggested in the 2017. These …
Spiking neural P systems: matrix representation and formal verification
Structural and behavioural properties of models are very important in development of
complex systems and applications. In this paper, we investigate such properties for some …
complex systems and applications. In this paper, we investigate such properties for some …
On string languages generated by spiking neural P systems with structural plasticity
Spiking neural P systems (SNP systems) are parallel and non-deterministic models of
computation, inspired by the neural system of the brain. A variant of SNP systems known as …
computation, inspired by the neural system of the brain. A variant of SNP systems known as …
Handling non-determinism in spiking neural P systems: Algorithms and simulations
JP Carandang, FGC Cabarle… - Fundamenta …, 2019 - content.iospress.com
Spiking Neural P system is a computing model inspired on how the neurons in a living being
are interconnected and exchange information. As a model in embrane computing, it is a non …
are interconnected and exchange information. As a model in embrane computing, it is a non …
Simulation of spiking neural P systems with sparse matrix-vector operations
MÁ Martínez-del-Amor, D Orellana-Martín… - Processes, 2021 - mdpi.com
To date, parallel simulation algorithms for spiking neural P (SNP) systems are based on a
matrix representation. This way, the simulation is implemented with linear algebra …
matrix representation. This way, the simulation is implemented with linear algebra …
Computing with SN P systems with I/O mode
HN Adorna - Journal of Membrane Computing, 2020 - Springer
P systems were introduced more than two decades ago by Gheorghe Pǎun. They are known
as nondeterministic maximally parallel computing models. Most of their variants are proved …
as nondeterministic maximally parallel computing models. Most of their variants are proved …
Optimizations in cusnp simulator for spiking neural p systems on cuda gpus
BCD Aboy, EJA Bariring, JP Carandang… - … Conference on High …, 2019 - ieeexplore.ieee.org
Spiking Neural P systems (in short, SNP systems) are computing models based on living
neurons. SNP systems are non-deterministic and parallel, hence making use of a parallel …
neurons. SNP systems are non-deterministic and parallel, hence making use of a parallel …
Snapse: A visual tool for spiking neural P systems
ADC Fernandez, RM Fresco, FGC Cabarle… - Processes, 2020 - mdpi.com
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 …
part of the third generation of neuron models. SN P systems are equivalent to Turing …