In current memristor-based neuromorphic computing research,several studies face the challenge of realizing only a single function at a time or having isolated functions.This limitation is particularly evident when sim...In current memristor-based neuromorphic computing research,several studies face the challenge of realizing only a single function at a time or having isolated functions.This limitation is particularly evident when simulating biological cognition,as the overall synergy between multiple cognitive functions is difficult to represent.In this work,a high-performance heterojunction memristor is presented at first.The memristor-based neural network and functional circuit are further implemented to realize and integrate multiple cognitive functions.Specifically,the proposed photoelectric memristor has the structure of Ag/ZnO-SnO_(2)/WO_(3-x)/ITO,it exhibits various synaptic behaviors under external modulations,which are characterized by good stability and repeatability.Based on this device,a neural network is built to realize the basic recognition function in biological cognition.The recognition results are translated into different labelled voltage signals and subsequently fed into a memristor-based functional circuit.By leveraging memory characteristics and tunable conductance of the memristor,and controlling the specific circuit functionalities,the input signals are processed to produce different outputs representing various cognitive functions.This methodology allows the realization and integration of recognition,memory,learning,association,relearning,and forgetting into one single system,thereby enabling a more comprehensive and authentic simulation of biological cognition.This work presents a novel memristor and a method for achieving and integrating multiple neuromorphic computing functions within a single system,providing a successful example for achieving complete biological function.展开更多
The superluminescent diode has been fabricated by applying an AR coating to the output facet of the semiconductor laser for the purpose of eliminating or suitably reducing the optical feedback. An exact method for mea...The superluminescent diode has been fabricated by applying an AR coating to the output facet of the semiconductor laser for the purpose of eliminating or suitably reducing the optical feedback. An exact method for measuring the modal reflectivity of the antireflection coating to a laser diode is described. It is based on measurements of the spectrum modulation depth of the resulting superluminescent diode output spectrum at arbitrary injection current, and modal reflectivity of less than 3 × 10-4 is obtained.展开更多
基金supported in part by the Shandong Provincial Natural Science Foundation of China under Grant ZR2023ZD03 and ZR2024QF183in part by the Taishan Scholars Project Special Funds under Grant tsqn202312035.
文摘In current memristor-based neuromorphic computing research,several studies face the challenge of realizing only a single function at a time or having isolated functions.This limitation is particularly evident when simulating biological cognition,as the overall synergy between multiple cognitive functions is difficult to represent.In this work,a high-performance heterojunction memristor is presented at first.The memristor-based neural network and functional circuit are further implemented to realize and integrate multiple cognitive functions.Specifically,the proposed photoelectric memristor has the structure of Ag/ZnO-SnO_(2)/WO_(3-x)/ITO,it exhibits various synaptic behaviors under external modulations,which are characterized by good stability and repeatability.Based on this device,a neural network is built to realize the basic recognition function in biological cognition.The recognition results are translated into different labelled voltage signals and subsequently fed into a memristor-based functional circuit.By leveraging memory characteristics and tunable conductance of the memristor,and controlling the specific circuit functionalities,the input signals are processed to produce different outputs representing various cognitive functions.This methodology allows the realization and integration of recognition,memory,learning,association,relearning,and forgetting into one single system,thereby enabling a more comprehensive and authentic simulation of biological cognition.This work presents a novel memristor and a method for achieving and integrating multiple neuromorphic computing functions within a single system,providing a successful example for achieving complete biological function.
文摘The superluminescent diode has been fabricated by applying an AR coating to the output facet of the semiconductor laser for the purpose of eliminating or suitably reducing the optical feedback. An exact method for measuring the modal reflectivity of the antireflection coating to a laser diode is described. It is based on measurements of the spectrum modulation depth of the resulting superluminescent diode output spectrum at arbitrary injection current, and modal reflectivity of less than 3 × 10-4 is obtained.
