在第二语言习得领域,经典条件反射中线索竞争效应的掩盖和阻挡会影响人类认知联想的学习和表达。在这项工作中,提出了一种基于神经生物学机制的忆阻神经网络电路,它由突触模块组成,神经元模块,和控制模块。特别是,设计的网络引入了抑制性中间神经元,将忆阻突触分为兴奋性和抑制性忆阻突触,以便更好地模拟突触可塑性。此外,所提出的电路可以实现二语习得调理的六个功能,包括学习,黯然失色,阻塞,从阴影中恢复,从阻塞中恢复,以及随着时间的推移黯然失色导致阻塞的长期影响。黯然失色,这表示,当两个刺激的显著性不同时,更显著的刺激掩盖了较不显著的刺激的学习,降低不太显著的刺激获得的联想强度。阻塞,这表明对一个刺激的预训练会阻止对第二个刺激的学习,抑制第二个刺激获得的联想强度。最后,PSPICE中的仿真结果验证了上述功能实现的正确性和有效性。通过进一步的研究,所提出的电路应用于仿生设备,如社交机器人或教育机器人,它可以通过辅助学习和培训解决语言和认知障碍。
In the field of second language acquisition, overshadowing and
blocking by cue competition effects in classical conditioning affect the learning and expression of human cognitive associations. In this work, a memristive neural network circuit based on neurobiological mechanisms is proposed, which consists of synapse module, neuron module, and control module. In particular, the designed network introduces an inhibitory interneuron to divide memristive synapses into excitatory and inhibitory memristive synapses, so as to mimic synaptic plasticity better. In addition, the proposed circuit can implement six functions of second language acquisition conditioning, including learning, overshadowing,
blocking, recovery from overshadowing, recovery from
blocking, and long-term effect of overshadowing over time leading to
blocking. Overshadowing, which denotes that the more salient stimulus overshadows the learning of the less salient stimulus when two stimuli differ in salience, reduces the associative strength acquired by the less salient stimulus.
Blocking, which indicates that pretraining on one stimulus blocks learning about a second stimulus, inhibits the associative strength acquired by a second stimulus. Finally, the correctness and effectiveness of implementing functions mentioned above are verified by the simulation results in PSPICE. Through further research, the proposed circuit is applied to bionic devices such as social robots or educational robots, which can address language and cognitive disorders via assisted learning and training.