计算机科学
脉搏(音乐)
Spike(软件开发)
滞后
峰值时间相关塑性
光子学
脉冲整形
信息处理
探测器
突触后电位
电子工程
光学
神经科学
物理
电信
软件工程
工程类
生物
受体
化学
激光器
生物化学
计算机网络
作者
Mable P. Fok,Yue Tian,David Rosenbluth,Paul R. Prucnal
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2013-02-06
卷期号:38 (4): 419-419
被引量:57
摘要
Biological neurons perform information processing using a model called pulse processing, which is both computationally efficient and scalable, adopting the best features of both analog and digital computing. Implementing pulse processing with photonics can result in bandwidths that are billions of times faster than biological neurons and substantially faster than electronics. Neurons have the ability to learn and adapt their processing based on experience through a change in the strength of synaptic connections in response to spiking activity. This mechanism is called spike-timing-dependent plasticity (STDP). Functionally, STDP constitutes a mechanism in which strengths of connections between neurons are based on the timing and order between presynaptic spikes and postsynaptic spikes, essentially forming a pulse lead/lag timing detector that is useful in feedback control and adaptation. Here we report for the first time the demonstration of optical STDP that is useful in pulse lead/lag timing detection and apply it to automatic gain control of a photonic pulse processor.
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