Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms

Gabriela E. Soares; Henrique E. Borges; Rogerio M. Gomes; Gustavo M. Zeferino; Antonio P. Braga

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Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms

机译：自组织尖峰神经元网络中同步性的出现：通过遗传算法的一种方法

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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. The TNGS establishes that a neuronal group is the most basic unit in the cortical area of the brain and, as a rule, it is not formed by a single neuron, but by a cluster of tightly coupled neural cells which fire and oscillate in synchrony at a predefined frequency. Thus, this paper describes a method of tuning the parameters of the Izhikevich spiking neuron model through genetic algorithm in order to enable the self-organization of the neural network. Computational experiments were performed considering a network composed of neurons of the same type and another composed of neurons of different types.

机译：基于神经元组选择理论（TNGS），我们通过遗传算法研究了由尖峰神经元组成的网络中同步性的出现。 TNGS确定神经元组是大脑皮层区域中最基本的单元，通常它不是由单个神经元形成，而是由紧密耦合的神经细胞簇组成，这些神经细胞在发射时同步发射和振荡预定义的频率。因此，本文描述了一种通过遗传算法调整Izhikevich尖峰神经元模型参数的方法，以实现神经网络的自组织。考虑由相同类型的神经元组成的网络和由不同类型的神经元组成的另一个网络，进行了计算实验。

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来源
《Natural Computing》 |2012年第3期|p.405-413|共9页
作者
Gabriela E. Soares; Henrique E. Borges; Rogerio M. Gomes; Gustavo M. Zeferino; Antonio P. Braga;
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作者单位

Laboratorio de Sistemas Inteligentes—LSI-CEFET-MG, Av.Amazonas 7675, CEP 30.510-000 Belo Horizonte, MG, Brazil;

Laboratorio de Sistemas Inteligentes—LSI-CEFET-MG, Av.Amazonas 7675, CEP 30.510-000 Belo Horizonte, MG, Brazil;

Laboratorio de Sistemas Inteligentes—LSI-CEFET-MG, Av.Amazonas 7675, CEP 30.510-000 Belo Horizonte, MG, Brazil;

Laboratorio de Sistemas Inteligentes—LSI-CEFET-MG, Av.Amazonas 7675, CEP 30.510-000 Belo Horizonte, MG, Brazil;

Universidade Federal de Minas Gerais,Av. Antonio Carlos 6627, CEP 31270-010 Belo Horizonte,MG, Brazil;

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正文语种 eng
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spiking neurons; neural networks; genetic algorithm; neuronal groups; TNGS;

机译：尖刺的神经元;神经网络;遗传算法神经元群;TNGS;

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1. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity [J] . Gilson M, Burkitt AN, Grayden DB, Biological Cybernetics: Communication and Control in Organisms and Automata: = Nachrichtenubertragung, Nachrichtenverarbeitung, Steuerung und Regelung in Organismen und in Automaten . 2009,第5a6期

机译：复发性神经元网络中由于穗定时依赖的可塑性引起的网络结构的出现III：由自发活动驱动的部分连接的神经元
2. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity [J] . Matthieu Gilson, Anthony N. Burkitt, David B. Grayden, Biological Cybernetics . 2009,第5a6期

机译：复发性神经元网络中由于穗定时依赖的可塑性引起的网络结构的出现III：由自发活动驱动的部分连接的神经元
3. The design of genetically optimized self-organizing neural networks with polynomial and fuzzy polynomial neurons [J] . Oh SK, Pedrycz W Circuits, systems, and signal processing . 2005,第3期

机译：具有多项式和模糊多项式神经元的遗传优化自组织神经网络的设计
4. Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm [C] . Soares Gabriela E., Borges Henrique E., Gomes Rogerio M., 2010 Eleventh Brazilian Symposium on Neural Networks . 2010

机译：基于遗传算法的自组织尖峰神经元网络中神经元群的出现
5. Robot controller combining spiking neural networks and genetic algorithms. [D] . Batllori, Robert. 2011

机译：结合尖刺神经网络和遗传算法的机器人控制器。
6. Robust emergence of small-world structure in networks of spiking neurons [O] . Hoi Fei Kwok, Peter Jurica, Antonino Raffone, 2007

机译：尖峰神经元网络中小世界结构的强大出现
7. A Hybrid Voronoi Tessellation/Genetic Algorithm Approach for the Deployment of Drone-Based Nodes of a Self-Organizing Wireless Sensor Network (WSN) in Unknown and GPS Denied Environments [O] . Khouloud Eledlebi, Hanno Hildmann, Dymitr Ruta, 2020

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8. Novel Approach to Large Scale Brain Network Models: An Algorithmic Model for Place Cell Emergence With Robotic Sensor Input. [R] . Baker, J. L., Olds, J. L., Davis, J. L. 2004

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Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms

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