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Anti-Hebbian Spike-Timing-Dependent Plasticity and Adaptive Sensory Processing

机译:反希伯利亚穗定时依赖性可塑性和自适应感官处理

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摘要

Adaptive sensory processing influences the central nervous system's interpretation of incoming sensory information. One of the functions of this adaptive sensory processing is to allow the nervous system to ignore predictable sensory information so that it may focus on important novel information needed to improve performance of specific tasks. The mechanism of spike-timing-dependent plasticity (STDP) has proven to be intriguing in this context because of its dual role in long-term memory and ongoing adaptation to maintain optimal tuning of neural responses. Some of the clearest links between STDP and adaptive sensory processing have come from in vitro, in vivo, and modeling studies of the electrosensory systems of weakly electric fish. Plasticity in these systems is anti-Hebbian, so that presynaptic inputs that repeatedly precede, and possibly could contribute to, a postsynaptic neuron's firing are weakened. The learning dynamics of anti-Hebbian STDP learning rules are stable if the timing relations obey strict constraints. The stability of these learning rules leads to clear predictions of how functional consequences can arise from the detailed structure of the plasticity. Here we review the connection between theoretical predictions and functional consequences of anti-Hebbian STDP, focusing on adaptive processing in the electrosensory system of weakly electric fish. After introducing electrosensory adaptive processing and the dynamics of anti-Hebbian STDP learning rules, we address issues of predictive sensory cancelation and novelty detection, descending control of plasticity, synaptic scaling, and optimal sensory tuning. We conclude with examples in other systems where these principles may apply.
机译:自适应感觉处理会影响中枢神经系统对传入感觉信息的解释。这种自适应感觉处理的功能之一是允许神经系统忽略可预测的感觉信息,以便它可以专注于改善特定任务执行所需的重要新颖信息。在这种情况下,依赖于尖峰时序的可塑性(STDP)的机制已被证明很有趣,因为它在长期记忆中起着双重作用,并且持续进行调节以维持神经反应的最佳调节。 STDP和自适应感官处理之间最明显的联系来自于弱电鱼电感官系统的体外,体内和建模研究。这些系统中的可塑性是反希伯来的,因此削弱了反复出现于突触后神经元放电的突触前输入,并可能有助于突触后神经元的放电。如果时间关系遵守严格的约束条件,则反希伯来STDP学习规则的学习动态将是稳定的。这些学习规则的稳定性导致对可塑性的详细结构如何产生功能后果的明确预测。在这里,我们回顾了理论预测与反希伯来STDP功能后果之间的联系,重点是弱电鱼电感应系统中的自适应处理。在介绍了电感应自适应处理和反希伯来STDP学习规则的动力学之后,我们将解决预测性感应取消和新颖性检测,可塑性下降控制,突触缩放和最佳感觉调节等问题。我们以可应用这些原理的其他系统中的示例结尾。

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