The role of rebound spikes in the maintenance of self-sustained neural spiking activity
In general, the mechanisms that maintain the activity of neural systems after a triggering
stimulus has been removed are not well understood. Different mechanisms involving at the …
stimulus has been removed are not well understood. Different mechanisms involving at the …
Evolving spiking neural networks of artificial creatures using genetic algorithm
E Eskandari, A Ahmadi, S Gomar… - … Joint Conference on …, 2016 - ieeexplore.ieee.org
This paper presents a Genetic Algorithm (GA) based evolution framework in which Spiking
Neural Network (SNN) of single or a colony of artificial creatures are evolved for higher …
Neural Network (SNN) of single or a colony of artificial creatures are evolved for higher …
Effects of the parameters on the oscillation frequency of Izhikevich spiking neural networks
Computational neuroscience attempts to understand the nervous system functions by using
realistic models in large-scale simulations. This work is inspired by the Theory of Neural …
realistic models in large-scale simulations. This work is inspired by the Theory of Neural …
Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms
Based on the Theory of Neuronal Group Selection (TNGS), we have investigated the
emergence of synchronicity in a network composed of spiking neurons via genetic algorithm …
emergence of synchronicity in a network composed of spiking neurons via genetic algorithm …
Synthesis of frequency generator via spiking neurons network: A genetic algorithm approach
Inspired by the Theory of Neuronal Group Selection (TNGS), we have carried out synthesis
of frequency generator via spiking neurons network through genetic algorithm. The TNGS …
of frequency generator via spiking neurons network through genetic algorithm. The TNGS …
Fault diagnosis method for an aircraft attitude control system based on deep learning
X Luo, W Wang, H Hu, Z Cheng, M Tang… - 2021 33rd Chinese …, 2021 - ieeexplore.ieee.org
This article proposes a deep-learning-based fault diagnosis method for an aircraft attitude
control system. The core idea is to construct two deep neural networks to approximate the …
control system. The core idea is to construct two deep neural networks to approximate the …
[PDF][PDF] Evolving spiking neural networks for control of artificial creatures
A Ahmadi - BRAIN. Broad Research in Artificial Intelligence and …, 2013 - brain.edusoft.ro
To understand and analysis behavior of complicated and intelligent organisms, scientists
apply bio-inspired concepts including evolution and learning to mathematical models and …
apply bio-inspired concepts including evolution and learning to mathematical models and …
[PDF][PDF] Effects of the parameters on the oscillation frequency of Izhikevich spiking neural networks
LDR Oliveiraa, RM Gomesa, BA Santosa, HE Borgesa - 2019 - academia.edu
Computational neuroscience attempts to understand the nervous system functions by using
realistic models in large-scale simulations. This work is inspired by the Theory of Neural …
realistic models in large-scale simulations. This work is inspired by the Theory of Neural …
[CITATION][C] EMERGÊNCIA DE SINCRONICIDADE EM UMA REDE AUTO-ORGANIZÁVEL DE NEURÔNIOS PULSANTES: USO DE ALGORITMOS GENÉTICOS …
GE SOARES - 2010