A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal processing.
A novel learning rule for long-term plasticity of short-term synaptic plasticity enhances temporal processing.
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DOI：
10.3389/fnint.2011.00020
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发表时间：
2011
影响因子：
3.5
通讯作者：
Buonomano DV
中科院分区：
文献类型：
--
作者：
Carvalho TP;Buonomano DV
新皮层突触的短期突触可塑性（STP）本身是可塑的，例如，LTP和LTD的诱导分别倾向于使STP向短期抑制和易化方向转变。理论上或实验上尚未解决的是STP是否是"习得的";也就是说，STP是否受到特定学习规则的调节，这些规则是为了优化在突触处执行的计算，或者，STP的变化本质上是长期可塑性的附带现象？在这里，我们建议，STP是由特定的学习规则，独立运作，并在并行的关联学习规则管理基线突触强度。我们描述了STP的学习规则，并使用模拟，表明它显着提高了时空刺激的歧视。此外，我们还生成了一组实验预测，旨在验证我们的假设。
It is well established that short-term synaptic plasticity (STP) of neocortical synapses is itself plastic – e.g., the induction of LTP and LTD tend to shift STP towards short-term depression and facilitation, respectively. What has not been addressed theoretically or experimentally is whether STP is “learned”; that is, is STP regulated by specific learning rules that are in place to optimize the computations performed at synapses, or, are changes in STP essentially an epiphenomenon of long-term plasticity? Here we propose that STP is governed by specific learning rules that operate independently and in parallel of the associative learning rules governing baseline synaptic strength. We describe a learning rule for STP and, using simulations, demonstrate that it significantly enhances the discrimination of spatiotemporal stimuli. Additionally we generate a set of experimental predictions aimed at testing our hypothesis.