阅读说明：本技术 仿神经网络及其制造方法 (Neural network and manufacturing method thereof ) 是由 埃马纽埃尔·比布 朱莉·格罗利耶 樊尚·加西亚 尼古拉·洛卡泰利 于 2018-11-30 设计创作，主要内容包括：本发明涉及一种仿神经网络(10),包括衬底(15)、神经元(20)组和突触(25)组；至少一个神经元(20)包括叠置层的第一堆叠(35),所述第一堆叠(35)依次包括第一电极(40)、由电绝缘材料制成的第一阻挡层(50)以及第二电极(45),所述第一电极(40)、第一阻挡层(50)和第二电极(45)形成第一铁电隧道结；至少一个突触(25)包括叠置层的第二堆叠(52),所述第二堆叠(52)依次包括第三电极(55)、由电绝缘材料制成的第二阻挡层(65)以及第四电极(60),所述第三电极(55)、第二阻挡层(65)和第四电极(60)形成第二铁电隧道结。(The invention relates to an artificial neural network (10) comprising a substrate (15), a set of neurons (20) and a set of synapses (25); at least one neuron (20) comprises a first stack (35) of stacked layers, the first stack (35) comprising, in order, a first electrode (40), a first barrier layer (50) made of an electrically insulating material, and a second electrode (45), the first electrode (40), the first barrier layer (50), and the second electrode (45) forming a first ferroelectric tunnel junction; at least one synapse (25) comprises a second stack (52) of stacked layers, said second stack (52) comprising, in order, a third electrode (55), a second barrier layer (65) made of an electrically insulating material, and a fourth electrode (60), said third electrode (55), second barrier layer (65), and fourth electrode (60) forming a second ferroelectric tunnel junction.)