Memory Retention and Spike-Timing-Dependent Plasticity
Memory Retention and Spike-Timing-Dependent Plasticity
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DOI：
10.1152/jn.91007.2008
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发表时间：
2009-06-01
影响因子：
2.5
通讯作者：
van Rossum, Mark C. W.
中科院分区：
文献类型：
--
作者：
Billings, Guy;van Rossum, Mark C. W.
Billings G，货车Rossum MC.记忆保持和尖峰时间依赖的可塑性。神经生理学杂志101：2775-2788，2009年。首次发表于2009年3月18日; doi：10.1152/jn.91007.2008。记忆系统应该是可塑的，以允许学习;然而，它们也应该保留早期的记忆。在这里，我们探索突触权重和记忆如何在具有尖峰定时依赖性可塑性的单个神经元和网络模型中保留。我们发现，对于单神经元模型，精确的学习规则对记忆保持时间有很强的影响。特别地，与独立于突触权重的学习规则相比，软绑定的、权重相关的学习规则具有非常短的保留时间。接下来，我们将探讨保留时间如何反映在网络的感受野稳定性。在单神经元的情况下，权重依赖的学习规则产生的感受野不太稳定比权重无关的规则。然而，感受野稳定在存在足够的侧抑制，表明在网络中的可塑性可以通过抑制调节，并提出了一个新的作用，抑制在神经回路。
Billings G, van Rossum MC. Memory retention and spike-timing-dependent plasticity. J Neurophysiol 101: 2775-2788, 2009. First published March 18, 2009; doi: 10.1152/jn.91007.2008. Memory systems should be plastic to allow for learning; however, they should also retain earlier memories. Here we explore how synaptic weights and memories are retained in models of single neurons and networks equipped with spike-timing-dependent plasticity. We show that for single neuron models, the precise learning rule has a strong effect on the memory retention time. In particular, a soft-bound, weight-dependent learning rule has a very short retention time as compared with a learning rule that is independent of the synaptic weights. Next, we explore how the retention time is reflected in receptive field stability in networks. As in the single neuron case, the weight-dependent learning rule yields less stable receptive fields than a weight-independent rule. However, receptive fields stabilize in the presence of sufficient lateral inhibition, demonstrating that plasticity in networks can be regulated by inhibition and suggesting a novel role for inhibition in neural circuits.