SIMULATION OF INTELLIGENT COMPUTATIONAL MODELS IN BIOLOGICAL SYSTEMS

摘要：

The human brain can perform a range of complicated computations and logical reasoning using neural networks with a huge number of neurons.Since Hodgkin and Huxley proposed a set of equations to describe the electro physiological properties of spiking neurons, various network structures of neurons have been developed through neuroscience research that can now be simulated by electronic circuits or computer programs.In this paper, an adaptive learning mechanism is simulated based on the biological property related to the spike time dependent plasticity of synapses.A demonstration shows that such spiking neurons are able to develop their specific receptive field for recognition of patterns.This mechanism can be used to explain some adaptive behaviours in biological systems.It is can also be applied to artificial intelligent systems.

关键词： Spiking neural network Computational model Adaptive learning Spiking time dependent plasticity

作者: QINC-XIANG WU MARTIN MCGINNITY LIAM MAGUIRE AMMAR BELATRECHE BRENDAN GLACKIN

作者单位: School of Computing and Intelligent Systems, University of Ulster at Magee Derry, BT48 7JL, Northern Ireland, UK

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1974-1978

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）