Information processing with frequency-dependent synaptic connections
Information processing with frequency-dependent synaptic connections
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DOI：
10.1006/nlme.1998.3841
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发表时间：
1998-07-01
影响因子：
2.7
通讯作者：
Tsodyks, M
中科院分区：
文献类型：
--
作者：
Markram, H;Gupta, A;Tsodyks, M
两个神经元之间突触传递的功效随着突触连接先前激活历史的函数而变化。这种历史依赖性可以通过检查传输对刺激频率的依赖性来表征。在这个框架中，突触可塑性也可以根据传输频率依赖性的变化来检查，而不仅仅是根据仅构成线性缩放机制的突触强度。最近的研究表明，传输的频率依赖性决定了神经元之间传输的信息内容，并且突触修饰可以改变传输的信息内容。多片钳记录显示，传输的频率依赖性对于单个轴突形成的每个突触连接来说可能是唯一的，并且突触前神经元的类别决定了频率依赖性的类别（活动无关），而任何两个神经元之间的独特活动关系可以确定特定类别内参数的精确值（活动相关）。神经元之间传输的信息内容也被形式化以提供突触传递函数，该函数可用于确定神经元网络内突触连接的作用。有人提出，为了理解神经元网络内突触传递和信息处理之间的联系，以及理解突触可塑性和学习和记忆之间的联系，推导突触传递函数至关重要。 (C) 1998 年学术出版社。
The efficacy of synaptic transmission between two neurons changes as a function of the history of previous activations of the synaptic connection. This history dependence can be characterized by examining the dependence of transmission on the frequency of stimulation. In this framework synaptic plasticity can also be examined in terms of changes in the frequency dependence of transmission and not merely in terms of synaptic strength which constitutes only a linear scaling mechanism. Recent work shows that the frequency dependence of transmission determines the content of information transmitted between neurons and that synaptic modifications can change the content of information transmitted. Multipatch-clamp recordings revealed that the frequency dependence of transmission is potentially unique for each synaptic connection made by a single axon and that the class of pre-postsynaptic neuron determines the class of frequency dependence (activity independent), while the unique activity relationship between any two neurons could determine the precise values of the parameters within a specific class (activity dependent). The content of information transmitted between neurons is also formalized to provide synaptic transfer functions which can be used to determine the role of the synaptic connection within a network of neurons. It is proposed that deriving synaptic transfer functions is crucial in order to understand the link between synaptic transmission and information processing within networks of neurons and to understand the link between synaptic plasticity and learning and memory. (C) 1998 Academic Press.