Spiking Neural P Systems with Polarizations and Rules on Synapses
Spiking neural P systems are a class of computation models inspired by the biological neural systems, where spikes and spiking rules are in neurons. In this work, we propose a variant of spiking neural P systems, called spiking neural P systems with polarizations and rules on synapses (PSNRS P syste...
Saved in:
Main Authors: | Suxia Jiang, Jihui Fan, Yijun Liu, Yanfeng Wang, Fei Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8742308 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay
by: Alia Bibi, et al.
Published: (2019-01-01) -
Delayed Spiking Neural P Systems with Scheduled Rules
by: Qianqian Ren, et al.
Published: (2021-01-01) -
SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks
by: Salah Daddinounou, et al.
Published: (2025-01-01) -
Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems
by: Haina Rong, et al.
Published: (2019-01-01) -
A model based rule for selecting spiking thresholds in neuron models
by: Frederik Riis Mikkelsen
Published: (2015-12-01)