Bridges Between Spiking Neural Membrane Systems and Virus Machines.
Int J Neural Syst
; 34(6): 2450034, 2024 Jun.
Article
in En
| MEDLINE
| ID: mdl-38623650
ABSTRACT
Spiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are compared in both generating and computing mode. The VMHEs defined in this work are shown to be more efficient than SNPs, requiring fewer memory units (hosts in VMHEs and neurons in SNPs) in several tasks, such as a universal machine, which was constructed with 18 hosts less than the 84 neurons in SNPs, and less than other spiking models discussed in the work.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Action Potentials
/
Neural Networks, Computer
/
Models, Neurological
/
Neurons
Limits:
Animals
/
Humans
Language:
En
Journal:
Int J Neural Syst
Journal subject:
ENGENHARIA BIOMEDICA
/
INFORMATICA MEDICA
Year:
2024
Document type:
Article
Affiliation country:
Spain
Country of publication:
Singapore