中国组织工程研究与临床康复
中國組織工程研究與臨床康複
중국조직공정연구여림상강복
JOURNAL OF CLINICAL REHABILITATIVE TISSUE ENGINEERING RESEARCH
2010年
17期
3113-3116
,共4页
海马CA3功能%神经网络%白联想记忆%异联想记忆%神经元模型
海馬CA3功能%神經網絡%白聯想記憶%異聯想記憶%神經元模型
해마CA3공능%신경망락%백련상기억%이련상기억%신경원모형
背景:海马是一个与记忆相关的重要脑区,在联想记忆中起着关键的作用.海马CA3区是形成联想记忆最重要的脑区,它从功能上被分为自联想记忆和异联想记忆.理解记忆的形成和读取需要建立海马功能的详细模型.目的:根据海马CA3区的结构,建立一个海马CA3区功能的详细模型.方法:该模型是一个三层的类Hopfield神经网络,由280个lzhikevich人工神经元组成.以lzhikevich神经元模型做为节点,用Hebbian学习法则调节权值.存给模型的输入加入白噪声的情况下用MATLAB对其仿真.在仿真中,记忆用同步放电序列表示.结果与结论:仿真结果表明,模型的第三层具有异联想记忆功能;模型的第一层和第二层能完成自联想记忆功能.该模型很好的重现了海马CA3区三个子区域的记忆功能.但真实生物神经网络的功能极其动力学特性不可能通过建立一个简单的模型完全理解.该模型由280个神绎元组成,远远小于实际神经元的数量,这也说明所建模型的特性与CA3实际生物神经网络的特性之间还存在很大差距.
揹景:海馬是一箇與記憶相關的重要腦區,在聯想記憶中起著關鍵的作用.海馬CA3區是形成聯想記憶最重要的腦區,它從功能上被分為自聯想記憶和異聯想記憶.理解記憶的形成和讀取需要建立海馬功能的詳細模型.目的:根據海馬CA3區的結構,建立一箇海馬CA3區功能的詳細模型.方法:該模型是一箇三層的類Hopfield神經網絡,由280箇lzhikevich人工神經元組成.以lzhikevich神經元模型做為節點,用Hebbian學習法則調節權值.存給模型的輸入加入白譟聲的情況下用MATLAB對其倣真.在倣真中,記憶用同步放電序列錶示.結果與結論:倣真結果錶明,模型的第三層具有異聯想記憶功能;模型的第一層和第二層能完成自聯想記憶功能.該模型很好的重現瞭海馬CA3區三箇子區域的記憶功能.但真實生物神經網絡的功能極其動力學特性不可能通過建立一箇簡單的模型完全理解.該模型由280箇神繹元組成,遠遠小于實際神經元的數量,這也說明所建模型的特性與CA3實際生物神經網絡的特性之間還存在很大差距.
배경:해마시일개여기억상관적중요뇌구,재련상기억중기착관건적작용.해마CA3구시형성련상기억최중요적뇌구,타종공능상피분위자련상기억화이련상기억.리해기억적형성화독취수요건립해마공능적상세모형.목적:근거해마CA3구적결구,건립일개해마CA3구공능적상세모형.방법:해모형시일개삼층적류Hopfield신경망락,유280개lzhikevich인공신경원조성.이lzhikevich신경원모형주위절점,용Hebbian학습법칙조절권치.존급모형적수입가입백조성적정황하용MATLAB대기방진.재방진중,기억용동보방전서렬표시.결과여결론:방진결과표명,모형적제삼층구유이련상기억공능;모형적제일층화제이층능완성자련상기억공능.해모형흔호적중현료해마CA3구삼개자구역적기억공능.단진실생물신경망락적공능겁기동역학특성불가능통과건립일개간단적모형완전리해.해모형유280개신역원조성,원원소우실제신경원적수량,저야설명소건모형적특성여CA3실제생물신경망락적특성지간환존재흔대차거.
BACKGROUND: Hippocampus is one of an important brain areas related with memory,and plays a critical role in associative memory function.Hippocampal CA3 is one of the most important regions to form associative memory.CA3 is functionally divided into autoassociative and heteroassociative memories,and memory formation and retrieval require the development of detailed models of hippocampal function.OBJECTIVE: To establish a detailed model of hippocampal CA3 function according to CA3 structure.METHODS: The model was a three-layered Hopfield-like neural network and was constituted by 280 Izhikevich artificial neurons,and is modulated by Hebbian rules.The model was simulated using MATLAB under the condition of adding the Gaussian white noise to its input.In the simulation,memories were represented by synchronous firing sequences.RESULTS AND CONCLUSION: The simulating results show that the third layer of model had heteroassociative memory function;the first and the second layer of the model could implement autoassociative memory.The model implemented well the memory functions of three subregions of hippecampal CA3.But it is impossible to understand the functions and dynamics of a real biological neural network by constructing a simple model.The model proposed has 280 neurons,which are far less than the real number of neurons.It suggests that there is a big gap between the properties of the model and a real biological neural network of CA3.