Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application
Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application
复制标题
基于生物星形胶质细胞的自修复网络的忆阻电路在机器人应用中的实现
DOI：
10.1109/tnnls.2020.3041624
复制
发表时间：
2022-05-01
影响因子：
10.4
通讯作者：
Wang, Chunhua
中科院分区：
文献类型：
--
作者：
Hong, Qinghui;Chen, Hegan;Wang, Chunhua
大量研究表明，星形胶质细胞可以通过内源性大麻素逆行信使与神经元的突触前末梢和突触后棘结合，构成三重突触，从而在人脑中实现自我修复能力。受星形胶质细胞生物学自我修复机制的启发，这项工作提出了一种自我修复神经元网络电路，该电路利用忆阻器来模拟达到设定阈值时神经递质的变化。所提出的电路模拟星形胶质细胞-神经元网络并且包括以下：1）单个星形胶质细胞-神经元电路模块; 2）星形胶质细胞-神经元网络电路; 3）检测故障的模块;以及4）神经元PR（突触传递的释放概率）增强模块。当突触中发生故障时，由于突触的低PR，神经元模块变得沉默或接近沉默。该电路能自动检测故障。受损的神经元可以通过增强其他健康神经元的PR来修复，类似于星形胶质细胞的生物修复机制。这种机制有助于修复损坏的电路。对该电路的模拟揭示了以下内容：1）随着电路中神经元数量的增加，自修复能力增强，以及2）随着星形胶质细胞-神经元网络中受损神经元数量的增加，自修复能力减弱，并且电路的性能显著下降。将自修复电路应用于某机器人，有效地提高了机器人的性能和可靠性。
A large number of studies have shown that astrocytes can be combined with the presynaptic terminals and postsynaptic spines of neurons to constitute a triple synapse via an endocannabinoid retrograde messenger to achieve a self-repair ability in the human brain. Inspired by the biological self-repair mechanism of astrocytes, this work proposes a self-repairing neuron network circuit that utilizes a memristor to simulate changes in neurotransmitters when a set threshold is reached. The proposed circuit simulates an astrocyte-neuron network and comprises the following: 1) a single-astrocyte-neuron circuit module; 2) an astrocyte-neuron network circuit; 3) a module to detect malfunctions; and 4) a neuron PR (release probability of synaptic transmission) enhancement module. When faults occur in a synapse, the neuron module becomes silent or near silent because of the low PR of the synapses. The circuit can detect faults automatically. The damaged neuron can be repaired by enhancing the PR of other healthy neurons, analogous to the biological repair mechanism of astrocytes. This mechanism helps to repair the damaged circuit. A simulation of the circuit revealed the following: 1) as the number of neurons in the circuit increases, the self-repair ability strengthens and 2) as the number of damaged neurons in the astrocyte-neuron network increases, the self-repair ability weakens, and there is a significant degradation in the performance of the circuit. The self-repairing circuit was used for a robot, and it effectively improved the robots’ performance and reliability.