As a key building block of the biological cortex,synapses are powerful information processing units that enable highly complex nonlinear computations.The realization of artificial synapses with similar capabilities ha...As a key building block of the biological cortex,synapses are powerful information processing units that enable highly complex nonlinear computations.The realization of artificial synapses with similar capabilities has important implications for building intelligent,neuromorphic systems.Here,we demonstrate an artificial synapse based on NbO_(x) nonvolatile memristor to mimic multifunctional bionic applications such as nociceptor and associative learning.Combined experimental characterization with COMSOL simulation,the traditional resistance switching characteristics,which are the decisive factor for the synapse properties are in-depth analyzed.It can be proposed that the I-V characteristics of Pt/NbO_(x)/TiN memristor are governed by core-shell filaments consisting of the shell region of sub-stoichiometric Nb_(2)O_(5-δ)and the core of NbO_(2).On the basis of the core-shell filament model,it can be reasonably explained that Ohmic conduction and Poole-Frenkel conduction take turns to dominate the current flowing in the memristive device,leading to the zigzag evolution of current during the operation process of NbO_(x)-based device.The simulations of synaptic plasticity,including long-term potentiation/depression(LTP/LTD),paired-pulse facilitation(PPF),and spike-timing-dependent plasticity(STDP),exhibiting that the NbO_(x) can be utilized for an artificial synapse.Furthermore,bionic functions such as hyperalgesia and allodynia of a nociceptor and a series of associative learning behaviors in Pavlovian dog experiment are mimicked,illustrating that the Pt/NbO_(x)/TiN have great potential for highly simplified artificial neural network applications.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos.62274058,62104065)the Open Project of China-Poland Belt and Road Joint Laboratory of Measurement and Control Technology (Grant No.MCT202104)+2 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No.XDB44000000)the Hubei Province Key Research and Development Program (Grant No.2022BAA020)the Wuhan Key Research and Development Program (Grant Nos.2022012202015055,2023010402010612)。
文摘As a key building block of the biological cortex,synapses are powerful information processing units that enable highly complex nonlinear computations.The realization of artificial synapses with similar capabilities has important implications for building intelligent,neuromorphic systems.Here,we demonstrate an artificial synapse based on NbO_(x) nonvolatile memristor to mimic multifunctional bionic applications such as nociceptor and associative learning.Combined experimental characterization with COMSOL simulation,the traditional resistance switching characteristics,which are the decisive factor for the synapse properties are in-depth analyzed.It can be proposed that the I-V characteristics of Pt/NbO_(x)/TiN memristor are governed by core-shell filaments consisting of the shell region of sub-stoichiometric Nb_(2)O_(5-δ)and the core of NbO_(2).On the basis of the core-shell filament model,it can be reasonably explained that Ohmic conduction and Poole-Frenkel conduction take turns to dominate the current flowing in the memristive device,leading to the zigzag evolution of current during the operation process of NbO_(x)-based device.The simulations of synaptic plasticity,including long-term potentiation/depression(LTP/LTD),paired-pulse facilitation(PPF),and spike-timing-dependent plasticity(STDP),exhibiting that the NbO_(x) can be utilized for an artificial synapse.Furthermore,bionic functions such as hyperalgesia and allodynia of a nociceptor and a series of associative learning behaviors in Pavlovian dog experiment are mimicked,illustrating that the Pt/NbO_(x)/TiN have great potential for highly simplified artificial neural network applications.
