A Simulation Software Tool for Cell-like Spiking Neural P Systems
نویسندگان
چکیده
Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the research field of membrane computing. Inspired by the interactions among neurons in the brain, they have attracted much attention since their appearance in 2006. Many variants have emerged, presenting a graph-based structure, and several software simulators were developed for them. Recently, a different approach was proposed by introducing cell-like spiking neural P systems. Unlike previous SN P systems, this new model includes a tree-based structure, taking elements from traditional rewriting rules in the original P systems. In this work, a software tool within the framework of P-Lingua and MeCoSim is presented. This software may play an important role assisting in tasks of design, simulation and experimental validation. Key-words: Bio-inspired computing, Membrane computing, Spiking neural P system, Cell-like P system, P-Lingua
منابع مشابه
PAX: A mixed hardware/software simulation platform for spiking neural networks
Many hardware-based solutions now exist for the simulation of bio-like neural networks. Less conventional than software-based systems, these types of simulators generally combine digital and analog forms of computation. In this paper we present a mixed hardware-software platform, specifically designed for the simulation of spiking neural networks, using conductance-based models of neurons and s...
متن کاملParallel Programming in Spiking Neural P Systems with Anti-Spikes
In spiking neural P systems with anti-spikes, integers can be represented as the number of spikes/anti-spikes present in a neuron. Thus it is possible to represent increment, decrement, relational operations and assignment statements using spiking neural P systems. With these basic structures, it is also possible to represent programming language constructs like conditional, iterative and diffe...
متن کاملSpiking Neural P systems and Petri nets
Spiking Neural P (SN P) system characterizes the movement of spikes among the neurons. Spikes have a similarity with tokens in Petri net where tokens (like spikes) are moved through net according to specific rules. This paper proposes the concept of spiking Petri nets, which are isomorphic to spiking neural P systems. It also gives algorithms to construct spiking Petri net for SN P system and v...
متن کاملScaling to 1024 software processes and hardware cores of the distributed simulation of a spiking neural network including up to 20G synapses
This short report describes the scaling, up to 1024 software processes and hardware cores, of a distributed simulator of plastic spiking neural networks (DPSNN). A previous report demonstrated good scalability of the simulator up to 128 processes. Herein we extend the speed-up measurements and strong and weak scaling analysis of the simulator to the range between 1 and 1024 software processes a...
متن کاملSpiking Neural P Systems with Functional Astrocytes
Spiking Neural P Systems (SN P Systems, for short) is a developing field within the universe of P Systems. New variants arise constantly as the study of their properties, such as computational completeness and computational efficiency, grows. Variants frequently incorporate new ingredients into the original model inspired by real neurophysiological structure of the brain. A singular element pre...
متن کامل