Kornijcuk, Vladimir Kavehei, Omid Lim, Hyungkwang Seok, Jun Yeong Kim, Seong Keun Kim, Inho Lee, Wook-Seong Choi, Byung Joon Jeong, Doo Seok 2024-01-20T08:04:44Z 2024-01-20T08:04:44Z 2021-09-05 2014-12 2040-3364 https://pubs.kist.re.kr/handle/201004/126039 We suggest a 'universal' electrical circuit for the realization of an artificial synapse that exhibits long-term plasticity induced by different protocols. The long-term plasticity of the artificial synapse is basically attributed to the nonvolatile resistance change of the bipolar resistive switch in the circuit. The synaptic behaviour realized by the circuit is termed 'universal' inasmuch as (i) the shape of the action potential is not required to vary so as to implement different plasticity-induction behaviours, activity-dependent plasticity (ADP) and spike-timing-dependent plasticity (STDP), (ii) the behaviours satisfy several essential features of a biological chemical synapse including firing-rate and spike-timing encoding and unidirectional synaptic transmission, and (iii) both excitatory and inhibitory synapses can be realized using the same circuit but different diode polarity in the circuit. The feasibility of the suggested circuit as an artificial synapse is demonstrated by conducting circuit calculations and the calculation results are introduced in comparison with biological chemical synapses. English ROYAL SOC CHEMISTRY TIMING-DEPENDENT PLASTICITY LONG-TERM POTENTIATION SYNAPTIC PLASTICITY NEURON MEMRISTOR MODEL IMPLEMENTATION SATURATION DEVICE Multiprotocol-induced plasticity in artificial synapses Article 10.1039/c4nr03405h 1 NANOSCALE, v.6, no.24, pp.15151 - 15160 NANOSCALE 6 24 15151 15160 scie scopus 000345458200069 2-s2.0-84911907856 Chemistry, Multidisciplinary Nanoscience & Nanotechnology Materials Science, Multidisciplinary Physics, Applied Chemistry Science & Technology - Other Topics Materials Science Physics Article TIMING-DEPENDENT PLASTICITY LONG-TERM POTENTIATION SYNAPTIC PLASTICITY NEURON MEMRISTOR MODEL IMPLEMENTATION SATURATION DEVICE Neural network artificial synapse bipolar resistive switch multiprotocol