Bridges Between Spiking Neural Membrane Systems and Virus Machines

Int J Neural Syst. 2024 Apr 13:2450034. doi: 10.1142/S0129065724500345. Online ahead of print.ABSTRACTSpiking 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.PMID:38623650 | DOI:10.1142/S0129065724500345

Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Antonio Ram írez-de-Arellano David Orellana-Mart ín Mario J P érez-Jiménez Source Type: research