| 基于尖峰神经元的条件反射模型及其认知行为的研究 |
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| 引用本文： | 杨贝贝,阮晓钢.基于尖峰神经元的条件反射模型及其认知行为的研究[J].系统仿真学报,2005,17(9):2134-2137. |
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| 作者姓名： | 杨贝贝 阮晓钢 |
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| 作者单位： | 北京工业大学,电子信息与控制工程学院,北京100022 |
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| 基金项目： | 国家自然科学基金资助（60375017） |
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| 摘 要： | 一种具有经典条件反射行为的认知模型（CMSPK），该模型以尖锋神经元为基本元素，互联形成具有反射弧结构的神经网络，能充分表现经典条件反射对时间的依赖性。基于有衰减项的Hebb规则设计了反映“刺激-响应-强化”特征的强化学习算法，使CMSPK具有经典条件反射行为和认知行为。应用CMSPK模型成功地模拟了习得、刺激间隔效应、遗忘、阻止和二阶条件反射等现象。
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| 关 键 词： | 经典条件反射 认知模型 尖峰神经元 Hebb规则 |
| 文章编号： | 1004-731X（2005）09-2134-04 |
| 收稿时间： | 2004-07-29 |
| 修稿时间： | 2004-11-19 |
Classical Conditioning Model Based on Spiking Neuron and research on its Cognitive Behaviors |
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| YANG Bei-bei,RUAN Xiao-gang.Classical Conditioning Model Based on Spiking Neuron and research on its Cognitive Behaviors[J].Journal of System Simulation,2005,17(9):2134-2137. |
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| Authors: | YANG Bei-bei RUAN Xiao-gang |
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| Institution: | Dept. of Electronic Information and Control Engineering ,Beijing University of Technology, Beijing 100022, China |
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| Abstract: | A cognitive model is presented with classical conditioning behaviors.The model comprises a number of spiking neurons connecting to form a neural network with reflex arc structure,which made it fully exhibiting the dependency of classical conditioning on timing.A reinforcement learning method based on the Hebb rule with a decay constant was designed,which was characterized by a property of 'stimulate-response-reinforcement'.The model can successfully stimulate many typical experiments such as acquire,inter-stimulus effects,extinction,block,and secondary conditioning. |
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| Keywords: | classical conditioning cognitive model spiking neuron hebb rule |
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