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The Design of Memristive Circuit for Affective Multi-Associative Learning.
IEEE Transactions on Biomedical Circuits and Systems ( IF 3.8 ) Pub Date : 2020-01-09 , DOI: 10.1109/tbcas.2019.2961569
Zilu Wang , Xiaoping Wang , Zezao Lu , Weiguo Wu , Zhigang Zeng

In this work, a memristive circuit with affective multi-associative learning function is proposed, which mimics the process of human affective formation. It mainly contains three modules: affective associative learning, affective formation, affective expression. The first module is composed of several affective single-associative learning circuits consisting of memristive neurons and synapses. Memristive neuron will be activated and output pulses if its input exceeds the threshold. After it is activated, memristive neuron can automatically return to the inactive state. Memristive synapse can realize learning and forgetting functions based on the signals from pre- and post-neurons. The learning rule is pre-neuron activated lags behind post-neuron for a short time; the forgetting rule is to repeatedly activate pre-neuron after the emotion is learned. The process of learning or forgetting corresponds to facilitating or inhibiting synaptic weight, that is, decreasing or increasing memristance continuously. Different voltage signals applied to memristors and different parameters of memristors would lead to different synaptic weights which indicate different affective association. The second module can convert affective signals to corresponding emotions. The formed emotions can be shown in a face by the third module. The simulation results in PSPICE show that the proposed circuit system can learn, forget and form emotions like human. If the proposed circuit is further used on a humanoid robot platform through further research, the robot will have the ability of affective interaction with human so that it can be effectively used in affective company and other aspects.

中文翻译:

情感多联想学习的忆阻电路设计。

在这项工作中,提出了一种具有情感多联想学习功能的忆阻电路,该电路模仿了人类情感形成的过程。它主要包含三个模块:情感联想学习,情感形成,情感表达。第一个模块由几个由记忆忆阻神经元和突触组成的情感性单联想学习电路组成。如果忆阻神经元的输入超过阈值,它将被激活并输出脉冲。激活后,忆阻神经元可以自动返回到非活动状态。忆阻性突触可以基于神经元前后的信号实现学习和遗忘功能。学习规则是前神经元激活在短时间内落后于后神经元。忘记的规则是在学习到情绪后反复激活前神经元。学习或遗忘的过程对应于促进或抑制突触重量,即连续减少或增加忆阻。施加到忆阻器的不同电压信号和忆阻器的不同参数将导致不同的突触权重,表明不同的情感联想。第二模块可以将情感信号转换为相应的情绪。所形成的情绪可以由第三模块在脸上示出。PSPICE中的仿真结果表明,所提出的电路系统可以学习,忘记并形成像人一样的情绪。如果通过进一步的研究将拟议的电路进一步用于人形机器人平台,则该机器人将具有与人之间进行情感互动的能力,从而可以有效地应用于情感公司等方面。
更新日期:2020-04-22
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