中心博士生马伯文的工作——Demonstration of a distributed feedback laser diode working as a graded-potential-signaling photonic neuron and its application to neuromorphic information processing的相关成果近期发表在SCIENCE CHINA Information Sciences期刊上，该工作得到了国家重点研发计划（2019YFB2203700）、国家自然科学基金（61822508）的部分资助。通过速率方程模型和实验测试，研究了分布反馈激光二极管（DFB-LD）中的时域整合与脉冲演变性质，证明了其与分级输出生物神经元的功能等效；在此基础上，提出并验证了基于DFB-LD的音源方位角探测、脉冲模式识别、脉冲时刻依赖可塑性（STDP）等方案。
摘要: We find that a commonly-used distributed feedback laser diode (DFB-LD) can work as a graded-potential-signaling photonic neuron. Through theoretical and experimental demonstration, DFB-LDs are proved useful for three graded-potential-signaling-based neuromorphic processing applications of the pattern recognition, the single-wavelength implementation of spike timing dependent plasticity (STDP) and the sound azimuth measurement. The pattern recognition with a fullwidth-at-half-maximum (FWHM) of 1 μs is realized in the experiment.
DOI: 10.1007/s11432-020-2887-6
Citation: Ma B W, Zou W W. Demonstration of a distributed feedback laser diode working as a graded-potential-signaling photonic neuron and its application to neuromorphic information processing. Sci China Inf Sci, 2020, 63