摘要
It is believed that neural information representation and processing relies on the neural population instead of a single neuron.In neuromorphic photonics,photonic neurons in the form of nonlinear responses have been extensively studied in single devices and temporal nodes.However,to construct a photonic neural population(PNP),the process of scaling up and massive interconnections remain challenging considering the physical complexity and response latency.Here,we propose a comb-based PNP interconnected by carrier coupling with superior scalability.Two unique properties of neural population are theoretically and experimentally demonstrated in the comb-based PNP,including nonlinear response curves and population activities coding.A classification task of three input patterns with dual radio-frequency(RF) tones is successfully implemented in a time-efficient manner,which allows the comb-based PNP to make effective use of the ultra-broad bandwidth of photonics for parallel and nonlinear processing.
基金
National Key Research and Development Program of China (2019YFB2203700)
National Natural Science Foundation of China (61822508)。
