Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity
Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity
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DOI：
10.1073/pnas.0909394107
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发表时间：
2010-03-09
影响因子：
11.1
通讯作者：
Hahnloser, Richard H. R.
中科院分区：
文献类型：
--
作者：
D'Souza, Prashanth;Liu, Shih-Chii;Hahnloser, Richard H. R.
人们普遍认为，大脑中的感觉和运动处理是基于植根于细胞和突触生理学的简单计算原语。然而，我们对神经计算和神经元生物物理特性之间联系的理解仍然存在许多差距。在这里，我们表明，突触尖峰时间依赖性可塑性（STDP）结合尖峰频率适应（SFA）在一个单一的神经元一起近似于众所周知的感知器学习规则。我们的计算和集成和消防模拟表明，延迟输入到一个神经元赋予STDP和SFA精确指示神经反应较早到达的输入。我们证明了这一机制的听觉地图形成的视觉输入的指导下，观察仓鸮下丘（ICX）的外部核的发展的例子。模型ICX神经元中SFA和STDP的相互作用精确地将调谐曲线从视觉模态转移到听觉模态，这表明多模态和感觉引导处理的有用计算。
It is widely believed that sensory and motor processing in the brain is based on simple computational primitives rooted in cellular and synaptic physiology. However, many gaps remain in our understanding of the connections between neural computations and biophysical properties of neurons. Here, we show that synaptic spike-time-dependent plasticity (STDP) combined with spike-frequency adaptation (SFA) in a single neuron together approximate the well-known perceptron learning rule. Our calculations and integrate-and-fire simulations reveal that delayed inputs to a neuron endowed with STDP and SFA precisely instruct neural responses to earlier arriving inputs. We demonstrate this mechanism on a developmental example of auditory map formation guided by visual inputs, as observed in the external nucleus of the inferior colliculus (ICX) of barn owls. The interplay of SFA and STDP in model ICX neurons precisely transfers the tuning curve from the visual modality onto the auditory modality, demonstrating a useful computation for multimodal and sensory-guided processing.