Memory from the dynamics of intrinsic membrane currents
Memory from the dynamics of intrinsic membrane currents
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DOI：
10.1073/pnas.93.24.13481
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发表时间：
1996-11-26
影响因子：
11.1
通讯作者：
Golowasch, J
中科院分区：
文献类型：
--
作者：
Marder, E;Abbott, LF;Golowasch, J
几乎所有关于学习和记忆机制的理论和实验研究都集中在突触效应上，并隐含地假设突触效应的变化对于学习和记忆是必要的和充分的。然而，网络动力学依赖于固有的膜特性与突触强度和时间进程之间的复杂相互作用。此外，神经元活动本身不仅改变了突触的效能，而且还改变了神经元的固有膜特性。本文提供的例子表明，具有复杂时间动力学的神经元可以提供仅依赖于固有神经元属性的短期“记忆”机制。此外，我们还讨论了活性在神经元固有特性的长期改变中可能起到的潜在作用。虽然这些例子并没有取代突触可塑性作为一种强大的学习机制，但这些例子表明，网络中的记忆是突触效能变化和固有膜特性之间持续相互作用的结果。
Almost all theoretical and experimental studies of the mechanisms underlying learning and memory focus on synaptic efficacy and make the implicit assumption that changes in synaptic efficacy are both necessary and sufficient to account for learning and memory. However, network dynamics depends on the complex interaction between intrinsic membrane properties and synaptic strengths and time courses. Furthermore, neuronal activity itself modifies not only synaptic efficacy but also the intrinsic membrane properties of neurons. This paper presents examples demonstrating that neurons with complex temporal dynamics can provide short-term ''memory'' mechanisms that rely solely on intrinsic neuronal properties. Additionally, we discuss the potential role that activity may play in long-term modification of intrinsic neuronal properties. While not replacing synaptic plasticity as a powerful learning mechanism, these examples suggest that memory in networks results from an ongoing interplay between changes in synaptic efficacy and intrinsic membrane properties.