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Neuromodulated Spike-Timing-Dependent Plasticity and Theory of Three-Factor Learning Rules

机译:神经调制的穗定时依赖可塑性和三因素学习规则的理论

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摘要

Classical Hebbian learning puts the emphasis on joint pre- and postsynaptic activity, but neglects the potential role of neuromodulators. Since neuromodulators convey information about novelty or reward, the influence of neuromodulators on synaptic plasticity is useful not just for action learning in classical conditioning, but also to decide “when” to create new memories in response to a flow of sensory stimuli. In this review, we focus on timing requirements for pre- and postsynaptic activity in conjunction with one or several phasic neuromodulatory signals. While the emphasis of the text is on conceptual models and mathematical theories, we also discuss some experimental evidence for neuromodulation of Spike-Timing-Dependent Plasticity. We highlight the importance of synaptic mechanisms in bridging the temporal gap between sensory stimulation and neuromodulatory signals, and develop a framework for a class of neo-Hebbian three-factor learning rules that depend on presynaptic activity, postsynaptic variables as well as the influence of neuromodulators.
机译:古典的Hebbian学习强调突触前和突触后的联合活动,但忽略了神经调节剂的潜在作用。由于神经调节剂传达有关新颖性或报酬的信息,因此神经调节剂对突触可塑性的影响不仅对经典条件下的动作学习有用,而且对于决定“何时”响应感官刺激流产生新的记忆也是有用的。在这篇综述中,我们集中于突触前和突触后活动与一个或几个阶段性神经调节信号结合的时间要求。虽然本文的重点是概念模型和数学理论,但我们还讨论了依赖于尖峰计时的可塑性进行神经调节的一些实验证据。我们强调突触机制在弥合感官刺激和神经调节信号之间的时间间隙中的重要性,并为一类新希伯来三因子学习规则建立框架,该学习规则取决于突触前活动,突触后变量以及神经调节剂的影响。

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